Imputation of a sigle variable (y) by a regression model using a single explanatory variable (x).
ImputeRegression.RdImpute missing and wrong values (group 3) by the model based on representative data (group 1). Some data are considered correct but not representative (group 2).
Usage
ImputeRegression(
data,
idName = names(data)[1],
strataName = NULL,
xName = names(data)[3],
yName = names(data)[4],
method = "ordinary",
limitModel = 2.5,
limitIterate = 4.5,
limitImpute = 50,
returnSameType = TRUE,
...
)
ImputeRegressionNewNames(
...,
Fun = ImputeRegression,
oldNames = c("yImputed", "Ntotal", "nImputedTotal", "estimateTotal", "yHat",
"estimateOrig", "cvTotal"),
newNames = c("estimate", "N", "nImputed", "estimate", "estimateYHat", "y", "cv"),
iD = NULL,
keep = NULL
)
ImputeRegressionTall(..., iD = TalliD())
ImputeRegressionTallSmall(
...,
iD = TalliD(),
keep = c("ID", "estimate", "cv", "nImputed")
)
ImputeRegressionWide(
...,
addName = WideAddName(),
sep = WideSep(),
idNames = c("", "strata", ""),
addLast = FALSE
)
ImputeRegressionWideSmall(
...,
keep = c("id", "strata", "estimate", "cv", "nImputed"),
addName = WideAddName(),
sep = WideSep(),
idNames = c("", "strata", ""),
addLast = FALSE
)Arguments
- data
Input data set of class data.frame
- idName
Name of id-variable(s)
- strataName
Name of starta-variable. Single strata when NULL (default)
- xName
Name of x-variable
- yName
Name of y-variable
- method
The method (model and weight) coded as a string: "ordinary" (default), "ratio", "noconstant", "mean" or "ratioconstant".
- limitModel
Studentized residuals limit. Above limit -> group 2.
- limitIterate
Studentized residuals limit for iterative calculation of studentized residuals.
- limitImpute
Studentized residuals limit. Above limit -> group 3.
- returnSameType
When TRUE (default) and when the type of input y variable(s) is integer, the output type of yImputed/estimate/estimateTotal is also integer. Estimates/sums are then calculated from rounded imputed values.
- ...
Simplified specification of the above arguments and possibly the five arguments below. Can also be used to specify additional variable names that will be included in output (micro).
- Fun
Function as input to ImputeRegressionNewNames for more general applications.
- oldNames
Vector of output names to be changed.
- newNames
Corresponding vector of new names.
- iD
When non-NULL a new variable ID will be created (see details).
- keep
When non-NULL Only variables listed in keep will be kept. This is input to ImputeRegressionNewNames and for more general applications keep apply to the three first list elements.
- addName
NULL or vector of strings used to name columns according to origin frame.
- sep
A character string to separate when addName apply
- idNames
Names of a id variable within each data frame
- addLast
When TRUE addName will be at end
Value
Output of ImputeRegression and ImputeRegressionNewNames (using the names after
or below) is a list of three data sets. micro has as many rows as input, aggregates has one row for each strata
and total has a single row. The individual variables are:
micro consists of the following elements:
- id
id from input
- x
The input x variable
- y
The input y variable
- strata
The input strata variable (can be NULL)
- category123
The three imputation groups: representative (1), correct but not representative (2), wrong (3).
- yHat or estimateYHat
Fitted values
- yImputed or estimate
Imputed y-data
- rStud
The final studentized residuals
- dffits
The final DFFITS statistic
- hii
The final leverages (diagonal elements of hat matrix)
- leaveOutResid
The final outside-model residual
aggregates consists of the following elements:
- N
Number of observations in each strata
- nImputed
Number of imputed observations in each strata
- estimate
Total estimates from imputed data
- cv
Coefficient of variation = seEstimate/estimate
- estimateYhat
Totale estimate based on model fits
- estimateOrig or y
Estimate based on original data with missing set to zero
- coef
The final first model coefficient
- coefB
The final second model coefficient or zeros when only one coefficient in model.
- nModel
The final number of observations in model.
- sigmaHat
The final square root of the estimated variance parameter
- seEstimate
The final standard error estimate of the total estimate from imputed data
- seRobust
Robust variant of seEstimate (experimental)
total consists of the following elements:
- Ntotal or N
Number of observations
- nImputedTotal or nImputed
Total number of imputed observations
- estimateTotal or estimate
Total estimate for all strata
- cvTotal or cv
Total cv for all strata
Details
Imputations are performed by running an imputation model within each strata. Division into three groups are based on studentized residuals. Calculations of studentized residuals are performed by iterativily throwing out observations from the model fitting.
Below (Value) the names before or are unique and the names after or can be used to combine the
data by stacking (rbind). The latter is the basis for the Tall/Wide/Small functions which has a single data frame as output.
More specifically ImputeRegressionNewNames is a wrapper to ImputeRegression and the Tall/Wide/Small functions are wrappers to ImputeRegressionNewNames.
The last four parameters (addName, sep, idNames addLast) are parameters to CbindIdMatch used by
ImputeRegressionWide and ImputeRegressionWideSmall.
The parameter iD is used by ImputeRegressionTall and ImputeRegressionTallSmall. A character variable ID is created using the input names ("id" "strata" and "Landet"). If the input name correspond to av variable name this variable is used. If not, the input name is used direvtly (possibly replicated).
Examples
z = cbind(id=1:34,KostraData("ratioTest")[,c(3,1,2)])
ImputeRegression(z,strataName="k")
#> $micro
#> id x y strata category123 yHat yImputed rStud
#> 1 1 1.1 2.300000e+00 1 1 2.360000 2.300000 -3.825460e-01
#> 2 2 2.2 3.100000e+00 1 1 2.860000 3.100000 1.819435e+00
#> 3 3 3.3 3.200000e+00 1 1 3.360000 3.200000 -8.000000e-01
#> 4 4 4.4 3.700000e+00 1 1 3.860000 3.700000 -8.754810e-01
#> 5 5 5.5 4.500000e+00 1 1 4.360000 4.500000 1.086611e+00
#> 6 6 1.0 1.200000e+00 2 1 1.138006 1.200000 1.454260e+00
#> 7 7 2.0 2.100000e+00 2 1 2.125857 2.100000 -4.143531e-01
#> 8 8 3.0 NA 2 3 3.113707 3.113707 NA
#> 9 9 4.0 1.000000e+04 2 3 4.101558 4.101558 1.272006e+05
#> 10 10 5.0 1.000000e+02 2 3 5.089408 5.089408 1.226885e+03
#> 11 11 6.0 6.000000e+00 2 1 6.077259 6.000000 -1.277875e+00
#> 12 12 7.0 7.000000e+00 2 1 7.065109 7.000000 -1.032417e+00
#> 13 13 8.0 8.100000e+00 2 1 8.052960 8.100000 7.308001e-01
#> 14 14 9.0 9.100000e+00 2 1 9.040810 9.100000 1.089940e+00
#> 15 15 1.0 1.000001e+07 3 3 -77.248828 -77.248828 4.450305e+05
#> 16 16 2.0 1.000120e+05 3 3 -52.019348 -52.019348 4.550677e+03
#> 17 17 3.0 1.024687e+03 3 2 -26.789868 1024.687456 4.880139e+01
#> 18 18 4.0 2.824773e+01 3 1 -1.560388 28.247733 1.947015e+00
#> 19 19 5.0 4.414688e+01 3 1 23.669092 44.146877 1.209562e+00
#> 20 20 6.0 5.020195e+01 3 1 48.898572 50.201951 7.146901e-02
#> 21 21 7.0 7.314708e+01 3 1 74.128052 73.147084 -5.287665e-02
#> 22 22 8.0 8.412607e+01 3 1 99.357532 84.126068 -8.314008e-01
#> 23 23 9.0 1.202427e+02 3 1 124.587012 120.242675 -2.293029e-01
#> 24 24 10.0 1.410798e+02 3 1 149.816492 141.079809 -4.610156e-01
#> 25 25 11.0 1.549065e+02 3 1 175.045972 154.906505 -1.098507e+00
#> 26 26 12.0 1.886235e+02 3 1 200.275452 188.623452 -6.167993e-01
#> 27 27 13.0 2.193324e+02 3 1 225.504932 219.332365 -3.243875e-01
#> 28 28 14.0 2.257846e+02 3 1 250.734412 225.784640 -1.411343e+00
#> 29 29 15.0 2.608230e+02 3 1 275.963892 260.823022 -8.261953e-01
#> 30 30 16.0 3.036370e+02 3 1 301.193372 303.636967 1.317897e-01
#> 31 31 17.0 3.249530e+02 3 1 326.422852 324.952994 -8.060196e-02
#> 32 32 18.0 3.629252e+02 3 1 351.652332 362.925220 6.411844e-01
#> 33 33 19.0 4.203940e+02 3 1 376.881812 420.394028 3.471615e+00
#> 34 34 20.0 4.807166e+02 3 2 402.111292 480.716634 3.648248e+00
#> dffits hii leaveOutResid
#> 1 -0.46852129 0.60000000 -1.500000e-01
#> 2 1.19110000 0.30000000 3.428571e-01
#> 3 -0.40000000 0.20000000 -2.000000e-01
#> 4 -0.57313688 0.30000000 -2.285714e-01
#> 5 1.33082093 0.60000000 3.500000e-01
#> 6 1.59215285 0.54517134 1.363014e-01
#> 7 -0.33525214 0.39563863 -4.278351e-02
#> 8 NaN NaN NA
#> 9 NaN NaN 9.995898e+03
#> 10 NaN NaN 9.491059e+01
#> 11 -0.58107071 0.17133956 -9.323308e-02
#> 12 -0.53024374 0.20872274 -8.228346e-02
#> 13 0.45967977 0.28348910 6.565217e-02
#> 14 0.88186791 0.39563863 9.793814e-02
#> 15 NaN NaN 1.000009e+07
#> 16 NaN NaN 1.000640e+05
#> 17 NaN NaN 1.051477e+03
#> 18 1.05792675 0.22794118 3.860861e+01
#> 19 0.57965202 0.18676471 2.518064e+01
#> 20 0.03019593 0.15147059 1.536045e+00
#> 21 -0.01971586 0.12205882 -1.117351e+00
#> 22 -0.27486384 0.09852941 -1.689624e+01
#> 23 -0.06802222 0.08088235 -4.726638e+00
#> 24 -0.12562113 0.06911765 -9.385378e+00
#> 25 -0.28540890 0.06323529 -2.149896e+01
#> 26 -0.16025381 0.06323529 -1.243856e+01
#> 27 -0.08839164 0.06911765 -6.630878e+00
#> 28 -0.41867203 0.08088235 -2.714535e+01
#> 29 -0.27314289 0.09852941 -1.679574e+01
#> 30 0.04913980 0.12205882 2.783324e+00
#> 31 -0.03405464 0.15147059 -1.732242e+00
#> 32 0.30727148 0.18676471 1.386178e+01
#> 33 1.88633042 0.22794118 5.635868e+01
#> 34 NaN NaN 7.860534e+01
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig
#> 1 1 5 0 16.80000 0.0000000 16.80000 16.8
#> 2 2 9 3 45.80467 0.3446696 45.80467 10133.5
#> 3 3 20 2 4378.70730 0.8066594 3248.62464 10104528.6
#> coef coefB nModel sigmaHat seEstimate seRobust
#> 1 1.8600000 0.4545455 5 0.20976177 0.0000000 0.0000000
#> 2 0.1501558 0.9878505 6 0.07147751 0.1578748 0.2157246
#> 3 -102.4783083 25.2294800 16 19.08150320 35.3212520 43.9950765
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 34 5 4441.312 0.7952966
#>
# Datasett med kjonn som eksta id
zkjonn <- rbind(cbind(z,kjonn="mann"),cbind(z,kjonn="kvinne"))
zkjonn$y[1:34] <- zkjonn$y[1:34] + 1:34
# Kjøring der id egentlig ikke blir brukt. Kjønn i output.
ImputeRegression(zkjonn,idName="id",strataName= "k",kjonnOutput="kjonn")
#> $micro
#> id x y kjonnOutput strata category123 yHat yImputed
#> 1 1 1.1 3.300000e+00 mann 1 1 2.860000 3.30000
#> 2 2 2.2 5.100000e+00 mann 1 1 3.860000 5.10000
#> 3 3 3.3 6.200000e+00 mann 1 1 4.860000 6.20000
#> 4 4 4.4 7.700000e+00 mann 1 1 5.860000 7.70000
#> 5 5 5.5 9.500000e+00 mann 1 1 6.860000 9.50000
#> 6 6 1.0 7.200000e+00 mann 2 1 21.050266 7.20000
#> 7 7 2.0 9.100000e+00 mann 2 1 21.780851 9.10000
#> 8 8 3.0 NA mann 2 3 22.511436 22.51144
#> 9 9 4.0 1.000900e+04 mann 2 2 23.242021 10009.00000
#> 10 10 5.0 1.100000e+02 mann 2 1 23.972606 110.00000
#> 11 11 6.0 1.700000e+01 mann 2 1 24.703191 17.00000
#> 12 12 7.0 1.900000e+01 mann 2 1 25.433777 19.00000
#> 13 13 8.0 2.110000e+01 mann 2 1 26.164362 21.10000
#> 14 14 9.0 2.310000e+01 mann 2 1 26.894947 23.10000
#> 15 15 1.0 1.000002e+07 mann 3 3 -75.164683 -75.16468
#> 16 16 2.0 1.000280e+05 mann 3 3 -48.758221 -48.75822
#> 17 17 3.0 1.041687e+03 mann 3 2 -22.351759 1041.68746
#> 18 18 4.0 4.624773e+01 mann 3 1 4.054703 46.24773
#> 19 19 5.0 6.314688e+01 mann 3 1 30.461165 63.14688
#> 20 20 6.0 7.020195e+01 mann 3 1 56.867626 70.20195
#> 21 21 7.0 9.414708e+01 mann 3 1 83.274088 94.14708
#> 22 22 8.0 1.061261e+02 mann 3 1 109.680550 106.12607
#> 23 23 9.0 1.432427e+02 mann 3 1 136.087012 143.24268
#> 24 24 10.0 1.650798e+02 mann 3 1 162.493474 165.07981
#> 25 25 11.0 1.799065e+02 mann 3 1 188.899935 179.90650
#> 26 26 12.0 2.146235e+02 mann 3 1 215.306397 214.62345
#> 27 27 13.0 2.463324e+02 mann 3 1 241.712859 246.33236
#> 28 28 14.0 2.537846e+02 mann 3 1 268.119321 253.78464
#> 29 29 15.0 2.898230e+02 mann 3 1 294.525783 289.82302
#> 30 30 16.0 3.336370e+02 mann 3 1 320.932244 333.63697
#> 31 31 17.0 3.559530e+02 mann 3 1 347.338706 355.95299
#> 32 32 18.0 3.949252e+02 mann 3 1 373.745168 394.92522
#> 33 33 19.0 4.533940e+02 mann 3 1 400.151630 453.39403
#> 34 34 20.0 5.147166e+02 mann 3 2 426.558092 514.71663
#> 35 1 1.1 2.300000e+00 kvinne 1 1 2.860000 2.30000
#> 36 2 2.2 3.100000e+00 kvinne 1 1 3.860000 3.10000
#> 37 3 3.3 3.200000e+00 kvinne 1 1 4.860000 3.20000
#> 38 4 4.4 3.700000e+00 kvinne 1 1 5.860000 3.70000
#> 39 5 5.5 4.500000e+00 kvinne 1 1 6.860000 4.50000
#> 40 6 1.0 1.200000e+00 kvinne 2 1 21.050266 1.20000
#> 41 7 2.0 2.100000e+00 kvinne 2 1 21.780851 2.10000
#> 42 8 3.0 NA kvinne 2 3 22.511436 22.51144
#> 43 9 4.0 1.000000e+04 kvinne 2 2 23.242021 10000.00000
#> 44 10 5.0 1.000000e+02 kvinne 2 1 23.972606 100.00000
#> 45 11 6.0 6.000000e+00 kvinne 2 1 24.703191 6.00000
#> 46 12 7.0 7.000000e+00 kvinne 2 1 25.433777 7.00000
#> 47 13 8.0 8.100000e+00 kvinne 2 1 26.164362 8.10000
#> 48 14 9.0 9.100000e+00 kvinne 2 1 26.894947 9.10000
#> 49 15 1.0 1.000001e+07 kvinne 3 3 -75.164683 -75.16468
#> 50 16 2.0 1.000120e+05 kvinne 3 3 -48.758221 -48.75822
#> 51 17 3.0 1.024687e+03 kvinne 3 2 -22.351759 1024.68746
#> 52 18 4.0 2.824773e+01 kvinne 3 1 4.054703 28.24773
#> 53 19 5.0 4.414688e+01 kvinne 3 1 30.461165 44.14688
#> 54 20 6.0 5.020195e+01 kvinne 3 1 56.867626 50.20195
#> 55 21 7.0 7.314708e+01 kvinne 3 1 83.274088 73.14708
#> 56 22 8.0 8.412607e+01 kvinne 3 1 109.680550 84.12607
#> 57 23 9.0 1.202427e+02 kvinne 3 1 136.087012 120.24268
#> 58 24 10.0 1.410798e+02 kvinne 3 1 162.493474 141.07981
#> 59 25 11.0 1.549065e+02 kvinne 3 1 188.899935 154.90650
#> 60 26 12.0 1.886235e+02 kvinne 3 1 215.306397 188.62345
#> 61 27 13.0 2.193324e+02 kvinne 3 1 241.712859 219.33236
#> 62 28 14.0 2.257846e+02 kvinne 3 1 268.119321 225.78464
#> 63 29 15.0 2.608230e+02 kvinne 3 1 294.525783 260.82302
#> 64 30 16.0 3.036370e+02 kvinne 3 1 320.932244 303.63697
#> 65 31 17.0 3.249530e+02 kvinne 3 1 347.338706 324.95299
#> 66 32 18.0 3.629252e+02 kvinne 3 1 373.745168 362.92522
#> 67 33 19.0 4.203940e+02 kvinne 3 1 400.151630 420.39403
#> 68 34 20.0 4.807166e+02 kvinne 3 1 426.558092 480.71663
#> rStud dffits hii leaveOutResid
#> 1 2.653907e-01 0.173738964 0.30000000 6.285714e-01
#> 2 6.984740e-01 0.293417762 0.15000000 1.458824e+00
#> 3 7.361812e-01 0.245393730 0.10000000 1.488889e+00
#> 4 1.082787e+00 0.454861341 0.15000000 2.164706e+00
#> 5 1.978351e+00 1.295134668 0.30000000 3.771429e+00
#> 6 -4.267570e-01 -0.249009474 0.25398936 -1.856578e+01
#> 7 -3.721458e-01 -0.174860688 0.18085106 -1.548052e+01
#> 8 NA NaN NaN NA
#> 9 2.636371e+02 NaN NaN 9.985758e+03
#> 10 3.354898e+00 0.942419569 0.07313830 9.281578e+01
#> 11 -2.117814e-01 -0.060072712 0.07446809 -8.322989e+00
#> 12 -1.787147e-01 -0.057705312 0.09441489 -7.104552e+00
#> 13 -1.436965e-01 -0.056275911 0.13297872 -5.841104e+00
#> 14 -1.113730e-01 -0.053968372 0.19015957 -4.686043e+00
#> 15 3.720758e+05 NaN NaN 1.000010e+07
#> 16 3.767324e+03 NaN NaN 1.000768e+05
#> 17 4.048921e+01 NaN NaN 1.064039e+03
#> 18 1.884820e+00 0.664444526 0.11053652 4.743650e+01
#> 19 1.410435e+00 0.446761689 0.09118455 3.596518e+01
#> 20 5.549986e-01 0.157463084 0.07449903 1.440768e+01
#> 21 4.483711e-01 0.113760194 0.06047996 1.157293e+01
#> 22 -1.452643e-01 -0.033018656 0.04912734 -3.738126e+00
#> 23 2.914198e-01 0.059826714 0.04044118 7.457243e+00
#> 24 1.048725e-01 0.019800796 0.03442146 2.678535e+00
#> 25 -3.647799e-01 -0.065319421 0.03106820 -9.281799e+00
#> 26 -2.763009e-02 -0.004890864 0.03038138 -7.043446e-01
#> 27 1.871903e-01 0.034232439 0.03236102 4.773997e+00
#> 28 -5.852382e-01 -0.114726496 0.03700711 -1.488555e+01
#> 29 -1.917581e-01 -0.041294808 0.04431965 -4.920851e+00
#> 30 5.228159e-01 0.125275542 0.05429864 1.343418e+01
#> 31 3.560182e-01 0.095361794 0.06694409 9.232338e+00
#> 32 8.923725e-01 0.267158597 0.08225598 2.307839e+01
#> 33 2.449483e+00 0.817556844 0.10023432 5.917363e+01
#> 34 3.372068e+00 NaN NaN 8.815854e+01
#> 35 -3.388281e-01 -0.221815087 0.30000000 -8.000000e-01
#> 36 -4.190762e-01 -0.176047208 0.15000000 -8.941176e-01
#> 37 -9.314678e-01 -0.310489263 0.10000000 -1.844444e+00
#> 38 -1.313360e+00 -0.551721674 0.15000000 -2.541176e+00
#> 39 -1.676864e+00 -1.097765458 0.30000000 -3.371429e+00
#> 40 -6.170380e-01 -0.360037018 0.25398936 -2.660856e+01
#> 41 -5.827664e-01 -0.273825340 0.18085106 -2.402597e+01
#> 42 NA NaN NaN NA
#> 43 2.633995e+02 NaN NaN 9.976758e+03
#> 44 2.679861e+00 0.752795813 0.07313830 8.202669e+01
#> 45 -5.194106e-01 -0.147333052 0.07446809 -2.020805e+01
#> 46 -5.174901e-01 -0.167092787 0.09441489 -2.035565e+01
#> 47 -5.182940e-01 -0.202979599 0.13297872 -2.083497e+01
#> 48 -5.285327e-01 -0.256112766 0.19015957 -2.197340e+01
#> 49 3.720752e+05 NaN NaN 1.000008e+07
#> 50 3.766722e+03 NaN NaN 1.000608e+05
#> 51 3.984232e+01 NaN NaN 1.047039e+03
#> 52 1.040186e+00 0.366690726 0.11053652 2.719958e+01
#> 53 5.750440e-01 0.182147771 0.09118455 1.505885e+01
#> 54 -2.763752e-01 -0.078412604 0.07449903 -7.202235e+00
#> 55 -4.174233e-01 -0.105908149 0.06047996 -1.077891e+01
#> 56 -1.063489e+00 -0.241731609 0.04912734 -2.687477e+01
#> 57 -6.488670e-01 -0.133208451 0.04044118 -1.651211e+01
#> 58 -8.792516e-01 -0.166009915 0.03442146 -2.217703e+01
#> 59 -1.421315e+00 -0.254508263 0.03106820 -3.508341e+01
#> 60 -1.101102e+00 -0.194908529 0.03038138 -2.751901e+01
#> 61 -9.190376e-01 -0.168069033 0.03236102 -2.312897e+01
#> 62 -1.810013e+00 -0.354823854 0.03700711 -4.396157e+01
#> 63 -1.418736e+00 -0.305522623 0.04431965 -3.526572e+01
#> 64 -7.145059e-01 -0.171207698 0.05429864 -1.828831e+01
#> 65 -9.366278e-01 -0.250881885 0.06694409 -2.399182e+01
#> 66 -4.514668e-01 -0.135160190 0.08225598 -1.178972e+01
#> 67 8.605651e-01 0.287228303 0.10023432 2.249741e+01
#> 68 2.535725e+00 0.940272005 0.12087912 6.160534e+01
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig coef
#> 1 1 10 0 48.600 0.0000000 48.6000 48.6 1.86000
#> 2 2 18 2 20394.023 0.2815173 431.5069 20349.0 20.31968
#> 3 3 40 4 9227.105 0.6942384 7027.8682 20209547.1 -101.57114
#> coefB nModel sigmaHat seEstimate seRobust
#> 1 0.9090909 10 1.862928 0.00000 0.00000
#> 2 0.7305851 14 36.272415 57.41270 61.21002
#> 3 26.4064618 33 24.693842 64.05811 67.29142
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 68 6 29669.73 0.2899294
#>
# Kjøring der id er kodet med id i list. Da lages data med unik id (første treff) uten feilmelding eller warning (kan endres)
ImputeRegression(zkjonn,idName=list(id="id"),strataName= "k",kjonnOutput="kjonn")
#> $micro
#> id x y kjonnOutput strata category123 yHat yImputed
#> 1 1 1.1 3.300000e+00 mann 1 1 3.360000 3.30000
#> 2 2 2.2 5.100000e+00 mann 1 1 4.860000 5.10000
#> 3 3 3.3 6.200000e+00 mann 1 1 6.360000 6.20000
#> 4 4 4.4 7.700000e+00 mann 1 1 7.860000 7.70000
#> 5 5 5.5 9.500000e+00 mann 1 1 9.360000 9.50000
#> 6 6 1.0 7.200000e+00 mann 2 1 7.138006 7.20000
#> 7 7 2.0 9.100000e+00 mann 2 1 9.125857 9.10000
#> 8 8 3.0 NA mann 2 3 11.113707 11.11371
#> 9 9 4.0 1.000900e+04 mann 2 3 13.101558 13.10156
#> 10 10 5.0 1.100000e+02 mann 2 3 15.089408 15.08941
#> 11 11 6.0 1.700000e+01 mann 2 1 17.077259 17.00000
#> 12 12 7.0 1.900000e+01 mann 2 1 19.065109 19.00000
#> 13 13 8.0 2.110000e+01 mann 2 1 21.052960 21.10000
#> 14 14 9.0 2.310000e+01 mann 2 1 23.040810 23.10000
#> 15 15 1.0 1.000002e+07 mann 3 3 -62.248828 -62.24883
#> 16 16 2.0 1.000280e+05 mann 3 3 -36.019348 -36.01935
#> 17 17 3.0 1.041687e+03 mann 3 2 -9.789868 1041.68746
#> 18 18 4.0 4.624773e+01 mann 3 1 16.439612 46.24773
#> 19 19 5.0 6.314688e+01 mann 3 1 42.669092 63.14688
#> 20 20 6.0 7.020195e+01 mann 3 1 68.898572 70.20195
#> 21 21 7.0 9.414708e+01 mann 3 1 95.128052 94.14708
#> 22 22 8.0 1.061261e+02 mann 3 1 121.357532 106.12607
#> 23 23 9.0 1.432427e+02 mann 3 1 147.587012 143.24268
#> 24 24 10.0 1.650798e+02 mann 3 1 173.816492 165.07981
#> 25 25 11.0 1.799065e+02 mann 3 1 200.045972 179.90650
#> 26 26 12.0 2.146235e+02 mann 3 1 226.275452 214.62345
#> 27 27 13.0 2.463324e+02 mann 3 1 252.504932 246.33236
#> 28 28 14.0 2.537846e+02 mann 3 1 278.734412 253.78464
#> 29 29 15.0 2.898230e+02 mann 3 1 304.963892 289.82302
#> 30 30 16.0 3.336370e+02 mann 3 1 331.193372 333.63697
#> 31 31 17.0 3.559530e+02 mann 3 1 357.422852 355.95299
#> 32 32 18.0 3.949252e+02 mann 3 1 383.652332 394.92522
#> 33 33 19.0 4.533940e+02 mann 3 1 409.881812 453.39403
#> 34 34 20.0 5.147166e+02 mann 3 2 436.111292 514.71663
#> rStud dffits hii leaveOutResid
#> 1 -3.825460e-01 -0.46852129 0.60000000 -1.500000e-01
#> 2 1.819435e+00 1.19110000 0.30000000 3.428571e-01
#> 3 -8.000000e-01 -0.40000000 0.20000000 -2.000000e-01
#> 4 -8.754810e-01 -0.57313688 0.30000000 -2.285714e-01
#> 5 1.086611e+00 1.33082093 0.60000000 3.500000e-01
#> 6 1.454260e+00 1.59215285 0.54517134 1.363014e-01
#> 7 -4.143531e-01 -0.33525214 0.39563863 -4.278351e-02
#> 8 NA NaN NaN NA
#> 9 1.272006e+05 NaN NaN 9.995898e+03
#> 10 1.226885e+03 NaN NaN 9.491059e+01
#> 11 -1.277875e+00 -0.58107071 0.17133956 -9.323308e-02
#> 12 -1.032417e+00 -0.53024374 0.20872274 -8.228346e-02
#> 13 7.308001e-01 0.45967977 0.28348910 6.565217e-02
#> 14 1.089940e+00 0.88186791 0.39563863 9.793814e-02
#> 15 4.450305e+05 NaN NaN 1.000009e+07
#> 16 4.550677e+03 NaN NaN 1.000640e+05
#> 17 4.880139e+01 NaN NaN 1.051477e+03
#> 18 1.947015e+00 1.05792675 0.22794118 3.860861e+01
#> 19 1.209562e+00 0.57965202 0.18676471 2.518064e+01
#> 20 7.146901e-02 0.03019593 0.15147059 1.536045e+00
#> 21 -5.287665e-02 -0.01971586 0.12205882 -1.117351e+00
#> 22 -8.314008e-01 -0.27486384 0.09852941 -1.689624e+01
#> 23 -2.293029e-01 -0.06802222 0.08088235 -4.726638e+00
#> 24 -4.610156e-01 -0.12562113 0.06911765 -9.385378e+00
#> 25 -1.098507e+00 -0.28540890 0.06323529 -2.149896e+01
#> 26 -6.167993e-01 -0.16025381 0.06323529 -1.243856e+01
#> 27 -3.243875e-01 -0.08839164 0.06911765 -6.630878e+00
#> 28 -1.411343e+00 -0.41867203 0.08088235 -2.714535e+01
#> 29 -8.261953e-01 -0.27314289 0.09852941 -1.679574e+01
#> 30 1.317897e-01 0.04913980 0.12205882 2.783324e+00
#> 31 -8.060196e-02 -0.03405464 0.15147059 -1.732242e+00
#> 32 6.411844e-01 0.30727148 0.18676471 1.386178e+01
#> 33 3.471615e+00 1.88633042 0.22794118 5.635868e+01
#> 34 3.648248e+00 NaN NaN 7.860534e+01
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig coef
#> 1 1 5 0 31.8000 0.0000000 31.8000 31.8 1.860000
#> 2 2 9 3 135.8047 0.1162514 135.8047 10215.5 5.150156
#> 3 3 20 2 4868.7073 0.7254750 3738.6246 10105018.6 -88.478308
#> coefB nModel sigmaHat seEstimate seRobust
#> 1 1.363636 5 0.20976177 0.0000000 0.0000000
#> 2 1.987850 6 0.07147751 0.1578748 0.2157246
#> 3 26.229480 16 19.08150320 35.3212520 43.9950765
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 34 5 5036.312 0.7013387
#>
# Kjøring med sammensatt id + tar med enkelvariabler i output.
ImputeRegression(zkjonn,idName=c("id","kjonn"),strataName= "k",kjonnOutput="kjonn",idOutput="id")
#> $micro
#> id x y kjonnOutput idOutput strata category123
#> 1 1_mann 1.1 3.300000e+00 mann 1 1 1
#> 2 2_mann 2.2 5.100000e+00 mann 2 1 1
#> 3 3_mann 3.3 6.200000e+00 mann 3 1 1
#> 4 4_mann 4.4 7.700000e+00 mann 4 1 1
#> 5 5_mann 5.5 9.500000e+00 mann 5 1 1
#> 6 6_mann 1.0 7.200000e+00 mann 6 2 1
#> 7 7_mann 2.0 9.100000e+00 mann 7 2 1
#> 8 8_mann 3.0 NA mann 8 2 3
#> 9 9_mann 4.0 1.000900e+04 mann 9 2 2
#> 10 10_mann 5.0 1.100000e+02 mann 10 2 1
#> 11 11_mann 6.0 1.700000e+01 mann 11 2 1
#> 12 12_mann 7.0 1.900000e+01 mann 12 2 1
#> 13 13_mann 8.0 2.110000e+01 mann 13 2 1
#> 14 14_mann 9.0 2.310000e+01 mann 14 2 1
#> 15 15_mann 1.0 1.000002e+07 mann 15 3 3
#> 16 16_mann 2.0 1.000280e+05 mann 16 3 3
#> 17 17_mann 3.0 1.041687e+03 mann 17 3 2
#> 18 18_mann 4.0 4.624773e+01 mann 18 3 1
#> 19 19_mann 5.0 6.314688e+01 mann 19 3 1
#> 20 20_mann 6.0 7.020195e+01 mann 20 3 1
#> 21 21_mann 7.0 9.414708e+01 mann 21 3 1
#> 22 22_mann 8.0 1.061261e+02 mann 22 3 1
#> 23 23_mann 9.0 1.432427e+02 mann 23 3 1
#> 24 24_mann 10.0 1.650798e+02 mann 24 3 1
#> 25 25_mann 11.0 1.799065e+02 mann 25 3 1
#> 26 26_mann 12.0 2.146235e+02 mann 26 3 1
#> 27 27_mann 13.0 2.463324e+02 mann 27 3 1
#> 28 28_mann 14.0 2.537846e+02 mann 28 3 1
#> 29 29_mann 15.0 2.898230e+02 mann 29 3 1
#> 30 30_mann 16.0 3.336370e+02 mann 30 3 1
#> 31 31_mann 17.0 3.559530e+02 mann 31 3 1
#> 32 32_mann 18.0 3.949252e+02 mann 32 3 1
#> 33 33_mann 19.0 4.533940e+02 mann 33 3 1
#> 34 34_mann 20.0 5.147166e+02 mann 34 3 2
#> 35 1_kvinne 1.1 2.300000e+00 kvinne 1 1 1
#> 36 2_kvinne 2.2 3.100000e+00 kvinne 2 1 1
#> 37 3_kvinne 3.3 3.200000e+00 kvinne 3 1 1
#> 38 4_kvinne 4.4 3.700000e+00 kvinne 4 1 1
#> 39 5_kvinne 5.5 4.500000e+00 kvinne 5 1 1
#> 40 6_kvinne 1.0 1.200000e+00 kvinne 6 2 1
#> 41 7_kvinne 2.0 2.100000e+00 kvinne 7 2 1
#> 42 8_kvinne 3.0 NA kvinne 8 2 3
#> 43 9_kvinne 4.0 1.000000e+04 kvinne 9 2 2
#> 44 10_kvinne 5.0 1.000000e+02 kvinne 10 2 1
#> 45 11_kvinne 6.0 6.000000e+00 kvinne 11 2 1
#> 46 12_kvinne 7.0 7.000000e+00 kvinne 12 2 1
#> 47 13_kvinne 8.0 8.100000e+00 kvinne 13 2 1
#> 48 14_kvinne 9.0 9.100000e+00 kvinne 14 2 1
#> 49 15_kvinne 1.0 1.000001e+07 kvinne 15 3 3
#> 50 16_kvinne 2.0 1.000120e+05 kvinne 16 3 3
#> 51 17_kvinne 3.0 1.024687e+03 kvinne 17 3 2
#> 52 18_kvinne 4.0 2.824773e+01 kvinne 18 3 1
#> 53 19_kvinne 5.0 4.414688e+01 kvinne 19 3 1
#> 54 20_kvinne 6.0 5.020195e+01 kvinne 20 3 1
#> 55 21_kvinne 7.0 7.314708e+01 kvinne 21 3 1
#> 56 22_kvinne 8.0 8.412607e+01 kvinne 22 3 1
#> 57 23_kvinne 9.0 1.202427e+02 kvinne 23 3 1
#> 58 24_kvinne 10.0 1.410798e+02 kvinne 24 3 1
#> 59 25_kvinne 11.0 1.549065e+02 kvinne 25 3 1
#> 60 26_kvinne 12.0 1.886235e+02 kvinne 26 3 1
#> 61 27_kvinne 13.0 2.193324e+02 kvinne 27 3 1
#> 62 28_kvinne 14.0 2.257846e+02 kvinne 28 3 1
#> 63 29_kvinne 15.0 2.608230e+02 kvinne 29 3 1
#> 64 30_kvinne 16.0 3.036370e+02 kvinne 30 3 1
#> 65 31_kvinne 17.0 3.249530e+02 kvinne 31 3 1
#> 66 32_kvinne 18.0 3.629252e+02 kvinne 32 3 1
#> 67 33_kvinne 19.0 4.203940e+02 kvinne 33 3 1
#> 68 34_kvinne 20.0 4.807166e+02 kvinne 34 3 1
#> yHat yImputed rStud dffits hii leaveOutResid
#> 1 2.860000 3.30000 2.653907e-01 0.173738964 0.30000000 6.285714e-01
#> 2 3.860000 5.10000 6.984740e-01 0.293417762 0.15000000 1.458824e+00
#> 3 4.860000 6.20000 7.361812e-01 0.245393730 0.10000000 1.488889e+00
#> 4 5.860000 7.70000 1.082787e+00 0.454861341 0.15000000 2.164706e+00
#> 5 6.860000 9.50000 1.978351e+00 1.295134668 0.30000000 3.771429e+00
#> 6 21.050266 7.20000 -4.267570e-01 -0.249009474 0.25398936 -1.856578e+01
#> 7 21.780851 9.10000 -3.721458e-01 -0.174860688 0.18085106 -1.548052e+01
#> 8 22.511436 22.51144 NA NaN NaN NA
#> 9 23.242021 10009.00000 2.636371e+02 NaN NaN 9.985758e+03
#> 10 23.972606 110.00000 3.354898e+00 0.942419569 0.07313830 9.281578e+01
#> 11 24.703191 17.00000 -2.117814e-01 -0.060072712 0.07446809 -8.322989e+00
#> 12 25.433777 19.00000 -1.787147e-01 -0.057705312 0.09441489 -7.104552e+00
#> 13 26.164362 21.10000 -1.436965e-01 -0.056275911 0.13297872 -5.841104e+00
#> 14 26.894947 23.10000 -1.113730e-01 -0.053968372 0.19015957 -4.686043e+00
#> 15 -75.164683 -75.16468 3.720758e+05 NaN NaN 1.000010e+07
#> 16 -48.758221 -48.75822 3.767324e+03 NaN NaN 1.000768e+05
#> 17 -22.351759 1041.68746 4.048921e+01 NaN NaN 1.064039e+03
#> 18 4.054703 46.24773 1.884820e+00 0.664444526 0.11053652 4.743650e+01
#> 19 30.461165 63.14688 1.410435e+00 0.446761689 0.09118455 3.596518e+01
#> 20 56.867626 70.20195 5.549986e-01 0.157463084 0.07449903 1.440768e+01
#> 21 83.274088 94.14708 4.483711e-01 0.113760194 0.06047996 1.157293e+01
#> 22 109.680550 106.12607 -1.452643e-01 -0.033018656 0.04912734 -3.738126e+00
#> 23 136.087012 143.24268 2.914198e-01 0.059826714 0.04044118 7.457243e+00
#> 24 162.493474 165.07981 1.048725e-01 0.019800796 0.03442146 2.678535e+00
#> 25 188.899935 179.90650 -3.647799e-01 -0.065319421 0.03106820 -9.281799e+00
#> 26 215.306397 214.62345 -2.763009e-02 -0.004890864 0.03038138 -7.043446e-01
#> 27 241.712859 246.33236 1.871903e-01 0.034232439 0.03236102 4.773997e+00
#> 28 268.119321 253.78464 -5.852382e-01 -0.114726496 0.03700711 -1.488555e+01
#> 29 294.525783 289.82302 -1.917581e-01 -0.041294808 0.04431965 -4.920851e+00
#> 30 320.932244 333.63697 5.228159e-01 0.125275542 0.05429864 1.343418e+01
#> 31 347.338706 355.95299 3.560182e-01 0.095361794 0.06694409 9.232338e+00
#> 32 373.745168 394.92522 8.923725e-01 0.267158597 0.08225598 2.307839e+01
#> 33 400.151630 453.39403 2.449483e+00 0.817556844 0.10023432 5.917363e+01
#> 34 426.558092 514.71663 3.372068e+00 NaN NaN 8.815854e+01
#> 35 2.860000 2.30000 -3.388281e-01 -0.221815087 0.30000000 -8.000000e-01
#> 36 3.860000 3.10000 -4.190762e-01 -0.176047208 0.15000000 -8.941176e-01
#> 37 4.860000 3.20000 -9.314678e-01 -0.310489263 0.10000000 -1.844444e+00
#> 38 5.860000 3.70000 -1.313360e+00 -0.551721674 0.15000000 -2.541176e+00
#> 39 6.860000 4.50000 -1.676864e+00 -1.097765458 0.30000000 -3.371429e+00
#> 40 21.050266 1.20000 -6.170380e-01 -0.360037018 0.25398936 -2.660856e+01
#> 41 21.780851 2.10000 -5.827664e-01 -0.273825340 0.18085106 -2.402597e+01
#> 42 22.511436 22.51144 NA NaN NaN NA
#> 43 23.242021 10000.00000 2.633995e+02 NaN NaN 9.976758e+03
#> 44 23.972606 100.00000 2.679861e+00 0.752795813 0.07313830 8.202669e+01
#> 45 24.703191 6.00000 -5.194106e-01 -0.147333052 0.07446809 -2.020805e+01
#> 46 25.433777 7.00000 -5.174901e-01 -0.167092787 0.09441489 -2.035565e+01
#> 47 26.164362 8.10000 -5.182940e-01 -0.202979599 0.13297872 -2.083497e+01
#> 48 26.894947 9.10000 -5.285327e-01 -0.256112766 0.19015957 -2.197340e+01
#> 49 -75.164683 -75.16468 3.720752e+05 NaN NaN 1.000008e+07
#> 50 -48.758221 -48.75822 3.766722e+03 NaN NaN 1.000608e+05
#> 51 -22.351759 1024.68746 3.984232e+01 NaN NaN 1.047039e+03
#> 52 4.054703 28.24773 1.040186e+00 0.366690726 0.11053652 2.719958e+01
#> 53 30.461165 44.14688 5.750440e-01 0.182147771 0.09118455 1.505885e+01
#> 54 56.867626 50.20195 -2.763752e-01 -0.078412604 0.07449903 -7.202235e+00
#> 55 83.274088 73.14708 -4.174233e-01 -0.105908149 0.06047996 -1.077891e+01
#> 56 109.680550 84.12607 -1.063489e+00 -0.241731609 0.04912734 -2.687477e+01
#> 57 136.087012 120.24268 -6.488670e-01 -0.133208451 0.04044118 -1.651211e+01
#> 58 162.493474 141.07981 -8.792516e-01 -0.166009915 0.03442146 -2.217703e+01
#> 59 188.899935 154.90650 -1.421315e+00 -0.254508263 0.03106820 -3.508341e+01
#> 60 215.306397 188.62345 -1.101102e+00 -0.194908529 0.03038138 -2.751901e+01
#> 61 241.712859 219.33236 -9.190376e-01 -0.168069033 0.03236102 -2.312897e+01
#> 62 268.119321 225.78464 -1.810013e+00 -0.354823854 0.03700711 -4.396157e+01
#> 63 294.525783 260.82302 -1.418736e+00 -0.305522623 0.04431965 -3.526572e+01
#> 64 320.932244 303.63697 -7.145059e-01 -0.171207698 0.05429864 -1.828831e+01
#> 65 347.338706 324.95299 -9.366278e-01 -0.250881885 0.06694409 -2.399182e+01
#> 66 373.745168 362.92522 -4.514668e-01 -0.135160190 0.08225598 -1.178972e+01
#> 67 400.151630 420.39403 8.605651e-01 0.287228303 0.10023432 2.249741e+01
#> 68 426.558092 480.71663 2.535725e+00 0.940272005 0.12087912 6.160534e+01
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig coef
#> 1 1 10 0 48.600 0.0000000 48.6000 48.6 1.86000
#> 2 2 18 2 20394.023 0.2815173 431.5069 20349.0 20.31968
#> 3 3 40 4 9227.105 0.6942384 7027.8682 20209547.1 -101.57114
#> coefB nModel sigmaHat seEstimate seRobust
#> 1 0.9090909 10 1.862928 0.00000 0.00000
#> 2 0.7305851 14 36.272415 57.41270 61.21002
#> 3 26.4064618 33 24.693842 64.05811 67.29142
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 68 6 29669.73 0.2899294
#>
# Kjøring med sammensatt id og samnnesat strata + tar med enkelvariabler i output.
ImputeRegression(zkjonn,idName=c("id","kjonn"),strataName= c("k","kjonn"),kjonnOutput="kjonn",idOutput="id")
#> $micro
#> id x y kjonnOutput idOutput strata category123
#> 1 1_mann 1.1 3.300000e+00 mann 1 1_mann 1
#> 2 2_mann 2.2 5.100000e+00 mann 2 1_mann 1
#> 3 3_mann 3.3 6.200000e+00 mann 3 1_mann 1
#> 4 4_mann 4.4 7.700000e+00 mann 4 1_mann 1
#> 5 5_mann 5.5 9.500000e+00 mann 5 1_mann 1
#> 6 6_mann 1.0 7.200000e+00 mann 6 2_mann 1
#> 7 7_mann 2.0 9.100000e+00 mann 7 2_mann 1
#> 8 8_mann 3.0 NA mann 8 2_mann 3
#> 9 9_mann 4.0 1.000900e+04 mann 9 2_mann 3
#> 10 10_mann 5.0 1.100000e+02 mann 10 2_mann 3
#> 11 11_mann 6.0 1.700000e+01 mann 11 2_mann 1
#> 12 12_mann 7.0 1.900000e+01 mann 12 2_mann 1
#> 13 13_mann 8.0 2.110000e+01 mann 13 2_mann 1
#> 14 14_mann 9.0 2.310000e+01 mann 14 2_mann 1
#> 15 15_mann 1.0 1.000002e+07 mann 15 3_mann 3
#> 16 16_mann 2.0 1.000280e+05 mann 16 3_mann 3
#> 17 17_mann 3.0 1.041687e+03 mann 17 3_mann 2
#> 18 18_mann 4.0 4.624773e+01 mann 18 3_mann 1
#> 19 19_mann 5.0 6.314688e+01 mann 19 3_mann 1
#> 20 20_mann 6.0 7.020195e+01 mann 20 3_mann 1
#> 21 21_mann 7.0 9.414708e+01 mann 21 3_mann 1
#> 22 22_mann 8.0 1.061261e+02 mann 22 3_mann 1
#> 23 23_mann 9.0 1.432427e+02 mann 23 3_mann 1
#> 24 24_mann 10.0 1.650798e+02 mann 24 3_mann 1
#> 25 25_mann 11.0 1.799065e+02 mann 25 3_mann 1
#> 26 26_mann 12.0 2.146235e+02 mann 26 3_mann 1
#> 27 27_mann 13.0 2.463324e+02 mann 27 3_mann 1
#> 28 28_mann 14.0 2.537846e+02 mann 28 3_mann 1
#> 29 29_mann 15.0 2.898230e+02 mann 29 3_mann 1
#> 30 30_mann 16.0 3.336370e+02 mann 30 3_mann 1
#> 31 31_mann 17.0 3.559530e+02 mann 31 3_mann 1
#> 32 32_mann 18.0 3.949252e+02 mann 32 3_mann 1
#> 33 33_mann 19.0 4.533940e+02 mann 33 3_mann 1
#> 34 34_mann 20.0 5.147166e+02 mann 34 3_mann 2
#> 35 1_kvinne 1.1 2.300000e+00 kvinne 1 1_kvinne 1
#> 36 2_kvinne 2.2 3.100000e+00 kvinne 2 1_kvinne 1
#> 37 3_kvinne 3.3 3.200000e+00 kvinne 3 1_kvinne 1
#> 38 4_kvinne 4.4 3.700000e+00 kvinne 4 1_kvinne 1
#> 39 5_kvinne 5.5 4.500000e+00 kvinne 5 1_kvinne 1
#> 40 6_kvinne 1.0 1.200000e+00 kvinne 6 2_kvinne 1
#> 41 7_kvinne 2.0 2.100000e+00 kvinne 7 2_kvinne 1
#> 42 8_kvinne 3.0 NA kvinne 8 2_kvinne 3
#> 43 9_kvinne 4.0 1.000000e+04 kvinne 9 2_kvinne 3
#> 44 10_kvinne 5.0 1.000000e+02 kvinne 10 2_kvinne 3
#> 45 11_kvinne 6.0 6.000000e+00 kvinne 11 2_kvinne 1
#> 46 12_kvinne 7.0 7.000000e+00 kvinne 12 2_kvinne 1
#> 47 13_kvinne 8.0 8.100000e+00 kvinne 13 2_kvinne 1
#> 48 14_kvinne 9.0 9.100000e+00 kvinne 14 2_kvinne 1
#> 49 15_kvinne 1.0 1.000001e+07 kvinne 15 3_kvinne 3
#> 50 16_kvinne 2.0 1.000120e+05 kvinne 16 3_kvinne 3
#> 51 17_kvinne 3.0 1.024687e+03 kvinne 17 3_kvinne 2
#> 52 18_kvinne 4.0 2.824773e+01 kvinne 18 3_kvinne 1
#> 53 19_kvinne 5.0 4.414688e+01 kvinne 19 3_kvinne 1
#> 54 20_kvinne 6.0 5.020195e+01 kvinne 20 3_kvinne 1
#> 55 21_kvinne 7.0 7.314708e+01 kvinne 21 3_kvinne 1
#> 56 22_kvinne 8.0 8.412607e+01 kvinne 22 3_kvinne 1
#> 57 23_kvinne 9.0 1.202427e+02 kvinne 23 3_kvinne 1
#> 58 24_kvinne 10.0 1.410798e+02 kvinne 24 3_kvinne 1
#> 59 25_kvinne 11.0 1.549065e+02 kvinne 25 3_kvinne 1
#> 60 26_kvinne 12.0 1.886235e+02 kvinne 26 3_kvinne 1
#> 61 27_kvinne 13.0 2.193324e+02 kvinne 27 3_kvinne 1
#> 62 28_kvinne 14.0 2.257846e+02 kvinne 28 3_kvinne 1
#> 63 29_kvinne 15.0 2.608230e+02 kvinne 29 3_kvinne 1
#> 64 30_kvinne 16.0 3.036370e+02 kvinne 30 3_kvinne 1
#> 65 31_kvinne 17.0 3.249530e+02 kvinne 31 3_kvinne 1
#> 66 32_kvinne 18.0 3.629252e+02 kvinne 32 3_kvinne 1
#> 67 33_kvinne 19.0 4.203940e+02 kvinne 33 3_kvinne 1
#> 68 34_kvinne 20.0 4.807166e+02 kvinne 34 3_kvinne 2
#> yHat yImputed rStud dffits hii leaveOutResid
#> 1 3.360000 3.300000 -3.825460e-01 -0.46852129 0.60000000 -1.500000e-01
#> 2 4.860000 5.100000 1.819435e+00 1.19110000 0.30000000 3.428571e-01
#> 3 6.360000 6.200000 -8.000000e-01 -0.40000000 0.20000000 -2.000000e-01
#> 4 7.860000 7.700000 -8.754810e-01 -0.57313688 0.30000000 -2.285714e-01
#> 5 9.360000 9.500000 1.086611e+00 1.33082093 0.60000000 3.500000e-01
#> 6 7.138006 7.200000 1.454260e+00 1.59215285 0.54517134 1.363014e-01
#> 7 9.125857 9.100000 -4.143531e-01 -0.33525214 0.39563863 -4.278351e-02
#> 8 11.113707 11.113707 NA NaN NaN NA
#> 9 13.101558 13.101558 1.272006e+05 NaN NaN 9.995898e+03
#> 10 15.089408 15.089408 1.226885e+03 NaN NaN 9.491059e+01
#> 11 17.077259 17.000000 -1.277875e+00 -0.58107071 0.17133956 -9.323308e-02
#> 12 19.065109 19.000000 -1.032417e+00 -0.53024374 0.20872274 -8.228346e-02
#> 13 21.052960 21.100000 7.308001e-01 0.45967977 0.28348910 6.565217e-02
#> 14 23.040810 23.100000 1.089940e+00 0.88186791 0.39563863 9.793814e-02
#> 15 -62.248828 -62.248828 4.450305e+05 NaN NaN 1.000009e+07
#> 16 -36.019348 -36.019348 4.550677e+03 NaN NaN 1.000640e+05
#> 17 -9.789868 1041.687456 4.880139e+01 NaN NaN 1.051477e+03
#> 18 16.439612 46.247733 1.947015e+00 1.05792675 0.22794118 3.860861e+01
#> 19 42.669092 63.146877 1.209562e+00 0.57965202 0.18676471 2.518064e+01
#> 20 68.898572 70.201951 7.146901e-02 0.03019593 0.15147059 1.536045e+00
#> 21 95.128052 94.147084 -5.287665e-02 -0.01971586 0.12205882 -1.117351e+00
#> 22 121.357532 106.126068 -8.314008e-01 -0.27486384 0.09852941 -1.689624e+01
#> 23 147.587012 143.242675 -2.293029e-01 -0.06802222 0.08088235 -4.726638e+00
#> 24 173.816492 165.079809 -4.610156e-01 -0.12562113 0.06911765 -9.385378e+00
#> 25 200.045972 179.906505 -1.098507e+00 -0.28540890 0.06323529 -2.149896e+01
#> 26 226.275452 214.623452 -6.167993e-01 -0.16025381 0.06323529 -1.243856e+01
#> 27 252.504932 246.332365 -3.243875e-01 -0.08839164 0.06911765 -6.630878e+00
#> 28 278.734412 253.784640 -1.411343e+00 -0.41867203 0.08088235 -2.714535e+01
#> 29 304.963892 289.823022 -8.261953e-01 -0.27314289 0.09852941 -1.679574e+01
#> 30 331.193372 333.636967 1.317897e-01 0.04913980 0.12205882 2.783324e+00
#> 31 357.422852 355.952994 -8.060196e-02 -0.03405464 0.15147059 -1.732242e+00
#> 32 383.652332 394.925220 6.411844e-01 0.30727148 0.18676471 1.386178e+01
#> 33 409.881812 453.394028 3.471615e+00 1.88633042 0.22794118 5.635868e+01
#> 34 436.111292 514.716634 3.648248e+00 NaN NaN 7.860534e+01
#> 35 2.360000 2.300000 -3.825460e-01 -0.46852129 0.60000000 -1.500000e-01
#> 36 2.860000 3.100000 1.819435e+00 1.19110000 0.30000000 3.428571e-01
#> 37 3.360000 3.200000 -8.000000e-01 -0.40000000 0.20000000 -2.000000e-01
#> 38 3.860000 3.700000 -8.754810e-01 -0.57313688 0.30000000 -2.285714e-01
#> 39 4.360000 4.500000 1.086611e+00 1.33082093 0.60000000 3.500000e-01
#> 40 1.138006 1.200000 1.454260e+00 1.59215285 0.54517134 1.363014e-01
#> 41 2.125857 2.100000 -4.143531e-01 -0.33525214 0.39563863 -4.278351e-02
#> 42 3.113707 3.113707 NA NaN NaN NA
#> 43 4.101558 4.101558 1.272006e+05 NaN NaN 9.995898e+03
#> 44 5.089408 5.089408 1.226885e+03 NaN NaN 9.491059e+01
#> 45 6.077259 6.000000 -1.277875e+00 -0.58107071 0.17133956 -9.323308e-02
#> 46 7.065109 7.000000 -1.032417e+00 -0.53024374 0.20872274 -8.228346e-02
#> 47 8.052960 8.100000 7.308001e-01 0.45967977 0.28348910 6.565217e-02
#> 48 9.040810 9.100000 1.089940e+00 0.88186791 0.39563863 9.793814e-02
#> 49 -77.248828 -77.248828 4.450305e+05 NaN NaN 1.000009e+07
#> 50 -52.019348 -52.019348 4.550677e+03 NaN NaN 1.000640e+05
#> 51 -26.789868 1024.687456 4.880139e+01 NaN NaN 1.051477e+03
#> 52 -1.560388 28.247733 1.947015e+00 1.05792675 0.22794118 3.860861e+01
#> 53 23.669092 44.146877 1.209562e+00 0.57965202 0.18676471 2.518064e+01
#> 54 48.898572 50.201951 7.146901e-02 0.03019593 0.15147059 1.536045e+00
#> 55 74.128052 73.147084 -5.287665e-02 -0.01971586 0.12205882 -1.117351e+00
#> 56 99.357532 84.126068 -8.314008e-01 -0.27486384 0.09852941 -1.689624e+01
#> 57 124.587012 120.242675 -2.293029e-01 -0.06802222 0.08088235 -4.726638e+00
#> 58 149.816492 141.079809 -4.610156e-01 -0.12562113 0.06911765 -9.385378e+00
#> 59 175.045972 154.906505 -1.098507e+00 -0.28540890 0.06323529 -2.149896e+01
#> 60 200.275452 188.623452 -6.167993e-01 -0.16025381 0.06323529 -1.243856e+01
#> 61 225.504932 219.332365 -3.243875e-01 -0.08839164 0.06911765 -6.630878e+00
#> 62 250.734412 225.784640 -1.411343e+00 -0.41867203 0.08088235 -2.714535e+01
#> 63 275.963892 260.823022 -8.261953e-01 -0.27314289 0.09852941 -1.679574e+01
#> 64 301.193372 303.636967 1.317897e-01 0.04913980 0.12205882 2.783324e+00
#> 65 326.422852 324.952994 -8.060196e-02 -0.03405464 0.15147059 -1.732242e+00
#> 66 351.652332 362.925220 6.411844e-01 0.30727148 0.18676471 1.386178e+01
#> 67 376.881812 420.394028 3.471615e+00 1.88633042 0.22794118 5.635868e+01
#> 68 402.111292 480.716634 3.648248e+00 NaN NaN 7.860534e+01
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig
#> 1 1_mann 5 0 31.80000 0.0000000 31.80000 31.8
#> 2 2_mann 9 3 135.80467 0.1162514 135.80467 10215.5
#> 3 3_mann 20 2 4868.70730 0.7254750 3738.62464 10105018.6
#> 4 1_kvinne 5 0 16.80000 0.0000000 16.80000 16.8
#> 5 2_kvinne 9 3 45.80467 0.3446696 45.80467 10133.5
#> 6 3_kvinne 20 2 4378.70730 0.8066594 3248.62464 10104528.6
#> coef coefB nModel sigmaHat seEstimate seRobust
#> 1 1.8600000 1.3636364 5 0.20976177 0.0000000 0.0000000
#> 2 5.1501558 1.9878505 6 0.07147751 0.1578748 0.2157246
#> 3 -88.4783083 26.2294800 16 19.08150320 35.3212520 43.9950765
#> 4 1.8600000 0.4545455 5 0.20976177 0.0000000 0.0000000
#> 5 0.1501558 0.9878505 6 0.07147751 0.1578748 0.2157246
#> 6 -102.4783083 25.2294800 16 19.08150320 35.3212520 43.9950765
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 68 10 9477.624 0.527055
#>
# Tilsvarende ved bruk av liste
ImputeRegression(zkjonn,idName=list(id=c("id","kjonn")),strataName= list(c("k","kjonn")),kjonnOutput=list("kjonn"))
#> $micro
#> id x y kjonnOutput strata category123 yHat
#> 1 1_mann 1.1 3.300000e+00 mann 1_mann 1 3.360000
#> 2 2_mann 2.2 5.100000e+00 mann 1_mann 1 4.860000
#> 3 3_mann 3.3 6.200000e+00 mann 1_mann 1 6.360000
#> 4 4_mann 4.4 7.700000e+00 mann 1_mann 1 7.860000
#> 5 5_mann 5.5 9.500000e+00 mann 1_mann 1 9.360000
#> 6 6_mann 1.0 7.200000e+00 mann 2_mann 1 7.138006
#> 7 7_mann 2.0 9.100000e+00 mann 2_mann 1 9.125857
#> 8 8_mann 3.0 NA mann 2_mann 3 11.113707
#> 9 9_mann 4.0 1.000900e+04 mann 2_mann 3 13.101558
#> 10 10_mann 5.0 1.100000e+02 mann 2_mann 3 15.089408
#> 11 11_mann 6.0 1.700000e+01 mann 2_mann 1 17.077259
#> 12 12_mann 7.0 1.900000e+01 mann 2_mann 1 19.065109
#> 13 13_mann 8.0 2.110000e+01 mann 2_mann 1 21.052960
#> 14 14_mann 9.0 2.310000e+01 mann 2_mann 1 23.040810
#> 15 15_mann 1.0 1.000002e+07 mann 3_mann 3 -62.248828
#> 16 16_mann 2.0 1.000280e+05 mann 3_mann 3 -36.019348
#> 17 17_mann 3.0 1.041687e+03 mann 3_mann 2 -9.789868
#> 18 18_mann 4.0 4.624773e+01 mann 3_mann 1 16.439612
#> 19 19_mann 5.0 6.314688e+01 mann 3_mann 1 42.669092
#> 20 20_mann 6.0 7.020195e+01 mann 3_mann 1 68.898572
#> 21 21_mann 7.0 9.414708e+01 mann 3_mann 1 95.128052
#> 22 22_mann 8.0 1.061261e+02 mann 3_mann 1 121.357532
#> 23 23_mann 9.0 1.432427e+02 mann 3_mann 1 147.587012
#> 24 24_mann 10.0 1.650798e+02 mann 3_mann 1 173.816492
#> 25 25_mann 11.0 1.799065e+02 mann 3_mann 1 200.045972
#> 26 26_mann 12.0 2.146235e+02 mann 3_mann 1 226.275452
#> 27 27_mann 13.0 2.463324e+02 mann 3_mann 1 252.504932
#> 28 28_mann 14.0 2.537846e+02 mann 3_mann 1 278.734412
#> 29 29_mann 15.0 2.898230e+02 mann 3_mann 1 304.963892
#> 30 30_mann 16.0 3.336370e+02 mann 3_mann 1 331.193372
#> 31 31_mann 17.0 3.559530e+02 mann 3_mann 1 357.422852
#> 32 32_mann 18.0 3.949252e+02 mann 3_mann 1 383.652332
#> 33 33_mann 19.0 4.533940e+02 mann 3_mann 1 409.881812
#> 34 34_mann 20.0 5.147166e+02 mann 3_mann 2 436.111292
#> 35 1_kvinne 1.1 2.300000e+00 kvinne 1_kvinne 1 2.360000
#> 36 2_kvinne 2.2 3.100000e+00 kvinne 1_kvinne 1 2.860000
#> 37 3_kvinne 3.3 3.200000e+00 kvinne 1_kvinne 1 3.360000
#> 38 4_kvinne 4.4 3.700000e+00 kvinne 1_kvinne 1 3.860000
#> 39 5_kvinne 5.5 4.500000e+00 kvinne 1_kvinne 1 4.360000
#> 40 6_kvinne 1.0 1.200000e+00 kvinne 2_kvinne 1 1.138006
#> 41 7_kvinne 2.0 2.100000e+00 kvinne 2_kvinne 1 2.125857
#> 42 8_kvinne 3.0 NA kvinne 2_kvinne 3 3.113707
#> 43 9_kvinne 4.0 1.000000e+04 kvinne 2_kvinne 3 4.101558
#> 44 10_kvinne 5.0 1.000000e+02 kvinne 2_kvinne 3 5.089408
#> 45 11_kvinne 6.0 6.000000e+00 kvinne 2_kvinne 1 6.077259
#> 46 12_kvinne 7.0 7.000000e+00 kvinne 2_kvinne 1 7.065109
#> 47 13_kvinne 8.0 8.100000e+00 kvinne 2_kvinne 1 8.052960
#> 48 14_kvinne 9.0 9.100000e+00 kvinne 2_kvinne 1 9.040810
#> 49 15_kvinne 1.0 1.000001e+07 kvinne 3_kvinne 3 -77.248828
#> 50 16_kvinne 2.0 1.000120e+05 kvinne 3_kvinne 3 -52.019348
#> 51 17_kvinne 3.0 1.024687e+03 kvinne 3_kvinne 2 -26.789868
#> 52 18_kvinne 4.0 2.824773e+01 kvinne 3_kvinne 1 -1.560388
#> 53 19_kvinne 5.0 4.414688e+01 kvinne 3_kvinne 1 23.669092
#> 54 20_kvinne 6.0 5.020195e+01 kvinne 3_kvinne 1 48.898572
#> 55 21_kvinne 7.0 7.314708e+01 kvinne 3_kvinne 1 74.128052
#> 56 22_kvinne 8.0 8.412607e+01 kvinne 3_kvinne 1 99.357532
#> 57 23_kvinne 9.0 1.202427e+02 kvinne 3_kvinne 1 124.587012
#> 58 24_kvinne 10.0 1.410798e+02 kvinne 3_kvinne 1 149.816492
#> 59 25_kvinne 11.0 1.549065e+02 kvinne 3_kvinne 1 175.045972
#> 60 26_kvinne 12.0 1.886235e+02 kvinne 3_kvinne 1 200.275452
#> 61 27_kvinne 13.0 2.193324e+02 kvinne 3_kvinne 1 225.504932
#> 62 28_kvinne 14.0 2.257846e+02 kvinne 3_kvinne 1 250.734412
#> 63 29_kvinne 15.0 2.608230e+02 kvinne 3_kvinne 1 275.963892
#> 64 30_kvinne 16.0 3.036370e+02 kvinne 3_kvinne 1 301.193372
#> 65 31_kvinne 17.0 3.249530e+02 kvinne 3_kvinne 1 326.422852
#> 66 32_kvinne 18.0 3.629252e+02 kvinne 3_kvinne 1 351.652332
#> 67 33_kvinne 19.0 4.203940e+02 kvinne 3_kvinne 1 376.881812
#> 68 34_kvinne 20.0 4.807166e+02 kvinne 3_kvinne 2 402.111292
#> yImputed rStud dffits hii leaveOutResid
#> 1 3.300000 -3.825460e-01 -0.46852129 0.60000000 -1.500000e-01
#> 2 5.100000 1.819435e+00 1.19110000 0.30000000 3.428571e-01
#> 3 6.200000 -8.000000e-01 -0.40000000 0.20000000 -2.000000e-01
#> 4 7.700000 -8.754810e-01 -0.57313688 0.30000000 -2.285714e-01
#> 5 9.500000 1.086611e+00 1.33082093 0.60000000 3.500000e-01
#> 6 7.200000 1.454260e+00 1.59215285 0.54517134 1.363014e-01
#> 7 9.100000 -4.143531e-01 -0.33525214 0.39563863 -4.278351e-02
#> 8 11.113707 NA NaN NaN NA
#> 9 13.101558 1.272006e+05 NaN NaN 9.995898e+03
#> 10 15.089408 1.226885e+03 NaN NaN 9.491059e+01
#> 11 17.000000 -1.277875e+00 -0.58107071 0.17133956 -9.323308e-02
#> 12 19.000000 -1.032417e+00 -0.53024374 0.20872274 -8.228346e-02
#> 13 21.100000 7.308001e-01 0.45967977 0.28348910 6.565217e-02
#> 14 23.100000 1.089940e+00 0.88186791 0.39563863 9.793814e-02
#> 15 -62.248828 4.450305e+05 NaN NaN 1.000009e+07
#> 16 -36.019348 4.550677e+03 NaN NaN 1.000640e+05
#> 17 1041.687456 4.880139e+01 NaN NaN 1.051477e+03
#> 18 46.247733 1.947015e+00 1.05792675 0.22794118 3.860861e+01
#> 19 63.146877 1.209562e+00 0.57965202 0.18676471 2.518064e+01
#> 20 70.201951 7.146901e-02 0.03019593 0.15147059 1.536045e+00
#> 21 94.147084 -5.287665e-02 -0.01971586 0.12205882 -1.117351e+00
#> 22 106.126068 -8.314008e-01 -0.27486384 0.09852941 -1.689624e+01
#> 23 143.242675 -2.293029e-01 -0.06802222 0.08088235 -4.726638e+00
#> 24 165.079809 -4.610156e-01 -0.12562113 0.06911765 -9.385378e+00
#> 25 179.906505 -1.098507e+00 -0.28540890 0.06323529 -2.149896e+01
#> 26 214.623452 -6.167993e-01 -0.16025381 0.06323529 -1.243856e+01
#> 27 246.332365 -3.243875e-01 -0.08839164 0.06911765 -6.630878e+00
#> 28 253.784640 -1.411343e+00 -0.41867203 0.08088235 -2.714535e+01
#> 29 289.823022 -8.261953e-01 -0.27314289 0.09852941 -1.679574e+01
#> 30 333.636967 1.317897e-01 0.04913980 0.12205882 2.783324e+00
#> 31 355.952994 -8.060196e-02 -0.03405464 0.15147059 -1.732242e+00
#> 32 394.925220 6.411844e-01 0.30727148 0.18676471 1.386178e+01
#> 33 453.394028 3.471615e+00 1.88633042 0.22794118 5.635868e+01
#> 34 514.716634 3.648248e+00 NaN NaN 7.860534e+01
#> 35 2.300000 -3.825460e-01 -0.46852129 0.60000000 -1.500000e-01
#> 36 3.100000 1.819435e+00 1.19110000 0.30000000 3.428571e-01
#> 37 3.200000 -8.000000e-01 -0.40000000 0.20000000 -2.000000e-01
#> 38 3.700000 -8.754810e-01 -0.57313688 0.30000000 -2.285714e-01
#> 39 4.500000 1.086611e+00 1.33082093 0.60000000 3.500000e-01
#> 40 1.200000 1.454260e+00 1.59215285 0.54517134 1.363014e-01
#> 41 2.100000 -4.143531e-01 -0.33525214 0.39563863 -4.278351e-02
#> 42 3.113707 NA NaN NaN NA
#> 43 4.101558 1.272006e+05 NaN NaN 9.995898e+03
#> 44 5.089408 1.226885e+03 NaN NaN 9.491059e+01
#> 45 6.000000 -1.277875e+00 -0.58107071 0.17133956 -9.323308e-02
#> 46 7.000000 -1.032417e+00 -0.53024374 0.20872274 -8.228346e-02
#> 47 8.100000 7.308001e-01 0.45967977 0.28348910 6.565217e-02
#> 48 9.100000 1.089940e+00 0.88186791 0.39563863 9.793814e-02
#> 49 -77.248828 4.450305e+05 NaN NaN 1.000009e+07
#> 50 -52.019348 4.550677e+03 NaN NaN 1.000640e+05
#> 51 1024.687456 4.880139e+01 NaN NaN 1.051477e+03
#> 52 28.247733 1.947015e+00 1.05792675 0.22794118 3.860861e+01
#> 53 44.146877 1.209562e+00 0.57965202 0.18676471 2.518064e+01
#> 54 50.201951 7.146901e-02 0.03019593 0.15147059 1.536045e+00
#> 55 73.147084 -5.287665e-02 -0.01971586 0.12205882 -1.117351e+00
#> 56 84.126068 -8.314008e-01 -0.27486384 0.09852941 -1.689624e+01
#> 57 120.242675 -2.293029e-01 -0.06802222 0.08088235 -4.726638e+00
#> 58 141.079809 -4.610156e-01 -0.12562113 0.06911765 -9.385378e+00
#> 59 154.906505 -1.098507e+00 -0.28540890 0.06323529 -2.149896e+01
#> 60 188.623452 -6.167993e-01 -0.16025381 0.06323529 -1.243856e+01
#> 61 219.332365 -3.243875e-01 -0.08839164 0.06911765 -6.630878e+00
#> 62 225.784640 -1.411343e+00 -0.41867203 0.08088235 -2.714535e+01
#> 63 260.823022 -8.261953e-01 -0.27314289 0.09852941 -1.679574e+01
#> 64 303.636967 1.317897e-01 0.04913980 0.12205882 2.783324e+00
#> 65 324.952994 -8.060196e-02 -0.03405464 0.15147059 -1.732242e+00
#> 66 362.925220 6.411844e-01 0.30727148 0.18676471 1.386178e+01
#> 67 420.394028 3.471615e+00 1.88633042 0.22794118 5.635868e+01
#> 68 480.716634 3.648248e+00 NaN NaN 7.860534e+01
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig
#> 1 1_mann 5 0 31.80000 0.0000000 31.80000 31.8
#> 2 2_mann 9 3 135.80467 0.1162514 135.80467 10215.5
#> 3 3_mann 20 2 4868.70730 0.7254750 3738.62464 10105018.6
#> 4 1_kvinne 5 0 16.80000 0.0000000 16.80000 16.8
#> 5 2_kvinne 9 3 45.80467 0.3446696 45.80467 10133.5
#> 6 3_kvinne 20 2 4378.70730 0.8066594 3248.62464 10104528.6
#> coef coefB nModel sigmaHat seEstimate seRobust
#> 1 1.8600000 1.3636364 5 0.20976177 0.0000000 0.0000000
#> 2 5.1501558 1.9878505 6 0.07147751 0.1578748 0.2157246
#> 3 -88.4783083 26.2294800 16 19.08150320 35.3212520 43.9950765
#> 4 1.8600000 0.4545455 5 0.20976177 0.0000000 0.0000000
#> 5 0.1501558 0.9878505 6 0.07147751 0.1578748 0.2157246
#> 6 -102.4783083 25.2294800 16 19.08150320 35.3212520 43.9950765
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 68 10 9477.624 0.527055
#>
# Bruker liste til å snevre inn til ett kjønn
ImputeRegression(zkjonn,idName=list(id="id",kjonn="mann"),strataName= list("k",kjonn="mann"),kjonnOutput=list("kjonn",kjonn="mann"))
#> $micro
#> id x y kjonnOutput strata category123 yHat yImputed
#> 1 1 1.1 3.300000e+00 mann 1 1 3.360000 3.30000
#> 2 2 2.2 5.100000e+00 mann 1 1 4.860000 5.10000
#> 3 3 3.3 6.200000e+00 mann 1 1 6.360000 6.20000
#> 4 4 4.4 7.700000e+00 mann 1 1 7.860000 7.70000
#> 5 5 5.5 9.500000e+00 mann 1 1 9.360000 9.50000
#> 6 6 1.0 7.200000e+00 mann 2 1 7.138006 7.20000
#> 7 7 2.0 9.100000e+00 mann 2 1 9.125857 9.10000
#> 8 8 3.0 NA mann 2 3 11.113707 11.11371
#> 9 9 4.0 1.000900e+04 mann 2 3 13.101558 13.10156
#> 10 10 5.0 1.100000e+02 mann 2 3 15.089408 15.08941
#> 11 11 6.0 1.700000e+01 mann 2 1 17.077259 17.00000
#> 12 12 7.0 1.900000e+01 mann 2 1 19.065109 19.00000
#> 13 13 8.0 2.110000e+01 mann 2 1 21.052960 21.10000
#> 14 14 9.0 2.310000e+01 mann 2 1 23.040810 23.10000
#> 15 15 1.0 1.000002e+07 mann 3 3 -62.248828 -62.24883
#> 16 16 2.0 1.000280e+05 mann 3 3 -36.019348 -36.01935
#> 17 17 3.0 1.041687e+03 mann 3 2 -9.789868 1041.68746
#> 18 18 4.0 4.624773e+01 mann 3 1 16.439612 46.24773
#> 19 19 5.0 6.314688e+01 mann 3 1 42.669092 63.14688
#> 20 20 6.0 7.020195e+01 mann 3 1 68.898572 70.20195
#> 21 21 7.0 9.414708e+01 mann 3 1 95.128052 94.14708
#> 22 22 8.0 1.061261e+02 mann 3 1 121.357532 106.12607
#> 23 23 9.0 1.432427e+02 mann 3 1 147.587012 143.24268
#> 24 24 10.0 1.650798e+02 mann 3 1 173.816492 165.07981
#> 25 25 11.0 1.799065e+02 mann 3 1 200.045972 179.90650
#> 26 26 12.0 2.146235e+02 mann 3 1 226.275452 214.62345
#> 27 27 13.0 2.463324e+02 mann 3 1 252.504932 246.33236
#> 28 28 14.0 2.537846e+02 mann 3 1 278.734412 253.78464
#> 29 29 15.0 2.898230e+02 mann 3 1 304.963892 289.82302
#> 30 30 16.0 3.336370e+02 mann 3 1 331.193372 333.63697
#> 31 31 17.0 3.559530e+02 mann 3 1 357.422852 355.95299
#> 32 32 18.0 3.949252e+02 mann 3 1 383.652332 394.92522
#> 33 33 19.0 4.533940e+02 mann 3 1 409.881812 453.39403
#> 34 34 20.0 5.147166e+02 mann 3 2 436.111292 514.71663
#> rStud dffits hii leaveOutResid
#> 1 -3.825460e-01 -0.46852129 0.60000000 -1.500000e-01
#> 2 1.819435e+00 1.19110000 0.30000000 3.428571e-01
#> 3 -8.000000e-01 -0.40000000 0.20000000 -2.000000e-01
#> 4 -8.754810e-01 -0.57313688 0.30000000 -2.285714e-01
#> 5 1.086611e+00 1.33082093 0.60000000 3.500000e-01
#> 6 1.454260e+00 1.59215285 0.54517134 1.363014e-01
#> 7 -4.143531e-01 -0.33525214 0.39563863 -4.278351e-02
#> 8 NA NaN NaN NA
#> 9 1.272006e+05 NaN NaN 9.995898e+03
#> 10 1.226885e+03 NaN NaN 9.491059e+01
#> 11 -1.277875e+00 -0.58107071 0.17133956 -9.323308e-02
#> 12 -1.032417e+00 -0.53024374 0.20872274 -8.228346e-02
#> 13 7.308001e-01 0.45967977 0.28348910 6.565217e-02
#> 14 1.089940e+00 0.88186791 0.39563863 9.793814e-02
#> 15 4.450305e+05 NaN NaN 1.000009e+07
#> 16 4.550677e+03 NaN NaN 1.000640e+05
#> 17 4.880139e+01 NaN NaN 1.051477e+03
#> 18 1.947015e+00 1.05792675 0.22794118 3.860861e+01
#> 19 1.209562e+00 0.57965202 0.18676471 2.518064e+01
#> 20 7.146901e-02 0.03019593 0.15147059 1.536045e+00
#> 21 -5.287665e-02 -0.01971586 0.12205882 -1.117351e+00
#> 22 -8.314008e-01 -0.27486384 0.09852941 -1.689624e+01
#> 23 -2.293029e-01 -0.06802222 0.08088235 -4.726638e+00
#> 24 -4.610156e-01 -0.12562113 0.06911765 -9.385378e+00
#> 25 -1.098507e+00 -0.28540890 0.06323529 -2.149896e+01
#> 26 -6.167993e-01 -0.16025381 0.06323529 -1.243856e+01
#> 27 -3.243875e-01 -0.08839164 0.06911765 -6.630878e+00
#> 28 -1.411343e+00 -0.41867203 0.08088235 -2.714535e+01
#> 29 -8.261953e-01 -0.27314289 0.09852941 -1.679574e+01
#> 30 1.317897e-01 0.04913980 0.12205882 2.783324e+00
#> 31 -8.060196e-02 -0.03405464 0.15147059 -1.732242e+00
#> 32 6.411844e-01 0.30727148 0.18676471 1.386178e+01
#> 33 3.471615e+00 1.88633042 0.22794118 5.635868e+01
#> 34 3.648248e+00 NaN NaN 7.860534e+01
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig coef
#> 1 1 5 0 31.8000 0.0000000 31.8000 31.8 1.860000
#> 2 2 9 3 135.8047 0.1162514 135.8047 10215.5 5.150156
#> 3 3 20 2 4868.7073 0.7254750 3738.6246 10105018.6 -88.478308
#> coefB nModel sigmaHat seEstimate seRobust
#> 1 1.363636 5 0.20976177 0.0000000 0.0000000
#> 2 1.987850 6 0.07147751 0.1578748 0.2157246
#> 3 26.229480 16 19.08150320 35.3212520 43.9950765
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 34 5 5036.312 0.7013387
#>
ImputeRegression(z,strataName="k",method="ratio")
#> $micro
#> id x y strata category123 yHat yImputed rStud
#> 1 1 1.1 2.300000e+00 1 2 1.035714 2.300000 2.578840e+00
#> 2 2 2.2 3.100000e+00 1 1 2.071429 3.100000 4.701767e+00
#> 3 3 3.3 3.200000e+00 1 1 3.107143 3.200000 1.045493e-01
#> 4 4 4.4 3.700000e+00 1 1 4.142857 3.700000 -4.766223e-01
#> 5 5 5.5 4.500000e+00 1 1 5.178571 4.500000 -7.354349e-01
#> 6 6 1.0 1.200000e+00 2 2 1.006667 1.200000 1.027537e+01
#> 7 7 2.0 2.100000e+00 2 2 2.013333 2.100000 3.205780e+00
#> 8 8 3.0 NA 2 3 3.020000 3.020000 NA
#> 9 9 4.0 1.000000e+04 2 3 4.026667 4.026667 2.536456e+05
#> 10 10 5.0 1.000000e+02 2 3 5.033333 5.033333 2.124339e+03
#> 11 11 6.0 6.000000e+00 2 1 6.040000 6.000000 -9.797959e-01
#> 12 12 7.0 7.000000e+00 2 1 7.046667 7.000000 -1.142302e+00
#> 13 13 8.0 8.100000e+00 2 1 8.053333 8.100000 1.063376e+00
#> 14 14 9.0 9.100000e+00 2 1 9.060000 9.100000 8.101915e-01
#> 15 15 1.0 1.000001e+07 3 3 17.074941 17.074941 6.349829e+05
#> 16 16 2.0 1.000120e+05 3 3 34.149883 34.149883 4.478108e+03
#> 17 17 3.0 1.024687e+03 3 2 51.224824 1024.687456 3.551508e+01
#> 18 18 4.0 2.824773e+01 3 1 68.299765 28.247733 -1.316592e+00
#> 19 19 5.0 4.414688e+01 3 1 85.374706 44.146877 -1.204942e+00
#> 20 20 6.0 5.020195e+01 3 1 102.449648 50.201951 -1.421424e+00
#> 21 21 7.0 7.314708e+01 3 1 119.524589 73.147084 -1.146549e+00
#> 22 22 8.0 8.412607e+01 3 1 136.599530 84.126068 -1.223326e+00
#> 23 23 9.0 1.202427e+02 3 1 153.674472 120.242675 -7.143491e-01
#> 24 24 10.0 1.410798e+02 3 1 170.749413 141.079809 -6.000489e-01
#> 25 25 11.0 1.549065e+02 3 1 187.824354 154.906505 -6.373587e-01
#> 26 26 12.0 1.886235e+02 3 1 204.899296 188.623452 -2.993787e-01
#> 27 27 13.0 2.193324e+02 3 1 221.974237 219.332365 -4.667453e-02
#> 28 28 14.0 2.257846e+02 3 1 239.049178 225.784640 -2.267877e-01
#> 29 29 15.0 2.608230e+02 3 1 256.124119 260.823022 7.770201e-02
#> 30 30 16.0 3.036370e+02 3 1 273.199061 303.636967 4.924745e-01
#> 31 31 17.0 3.249530e+02 3 1 290.274002 324.952994 5.468044e-01
#> 32 32 18.0 3.629252e+02 3 1 307.348943 362.925220 8.664143e-01
#> 33 33 19.0 4.203940e+02 3 1 324.423885 420.394028 1.532435e+00
#> 34 34 20.0 4.807166e+02 3 1 341.498826 480.716634 2.367853e+00
#> dffits hii leaveOutResid
#> 1 NaN NaN 1.264286e+00
#> 2 1.91948820 0.14285714 1.200000e+00
#> 3 0.05459908 0.21428571 1.181818e-01
#> 4 -0.30144244 0.28571429 -6.200000e-01
#> 5 -0.54816081 0.35714286 -1.055556e+00
#> 6 NaN NaN 1.933333e-01
#> 7 NaN NaN 8.666667e-02
#> 8 NaN NaN NA
#> 9 NaN NaN 9.995973e+03
#> 10 NaN NaN 9.496667e+01
#> 11 -0.48989795 0.20000000 -5.000000e-02
#> 12 -0.63018219 0.23333333 -6.086957e-02
#> 13 0.64124006 0.26666667 6.363636e-02
#> 14 0.53039484 0.30000000 5.714286e-02
#> 15 NaN NaN 9.999992e+06
#> 16 NaN NaN 9.997787e+04
#> 17 NaN NaN 9.734626e+02
#> 18 -0.18619420 0.01960784 -4.085307e+01
#> 19 -0.19099612 0.02450980 -4.226370e+01
#> 20 -0.24743821 0.02941176 -5.383096e+01
#> 21 -0.21612666 0.03431373 -4.802544e+01
#> 22 -0.24714921 0.03921569 -5.461524e+01
#> 23 -0.15346680 0.04411765 -3.497480e+01
#> 24 -0.13623408 0.04901961 -3.119896e+01
#> 25 -0.15216038 0.05392157 -3.479400e+01
#> 26 -0.07484467 0.05882353 -1.729308e+01
#> 27 -0.01217685 0.06372549 -2.821686e+00
#> 28 -0.06156116 0.06862745 -1.424193e+01
#> 29 0.02189006 0.07352941 5.071832e+00
#> 30 0.14366957 0.07843137 3.302837e+01
#> 31 0.16486772 0.08333333 3.783163e+01
#> 32 0.26952893 0.08823529 6.095463e+01
#> 33 0.49110335 0.09313725 1.058265e+02
#> 34 0.78065798 0.09803922 1.543502e+02
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig coef
#> 1 1 5 0 16.80 0.0000000 15.53571 16.8 0.9415584
#> 2 2 9 3 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 3 3 20 2 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> coefB nModel sigmaHat seEstimate seRobust
#> 1 0 4 0.45158851 0.00000000 0.00000000
#> 2 0 4 0.01850926 0.07586538 0.08701263
#> 3 0 17 15.70998508 27.40983928 29.12493609
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 34 5 4621.58 0.593086
#>
ImputeRegressionNewNames(z,strataName="k",method="ratio")
#> $micro
#> id x y strata category123 estimateYHat estimate
#> 1 1 1.1 2.300000e+00 1 2 1.035714 2.300000
#> 2 2 2.2 3.100000e+00 1 1 2.071429 3.100000
#> 3 3 3.3 3.200000e+00 1 1 3.107143 3.200000
#> 4 4 4.4 3.700000e+00 1 1 4.142857 3.700000
#> 5 5 5.5 4.500000e+00 1 1 5.178571 4.500000
#> 6 6 1.0 1.200000e+00 2 2 1.006667 1.200000
#> 7 7 2.0 2.100000e+00 2 2 2.013333 2.100000
#> 8 8 3.0 NA 2 3 3.020000 3.020000
#> 9 9 4.0 1.000000e+04 2 3 4.026667 4.026667
#> 10 10 5.0 1.000000e+02 2 3 5.033333 5.033333
#> 11 11 6.0 6.000000e+00 2 1 6.040000 6.000000
#> 12 12 7.0 7.000000e+00 2 1 7.046667 7.000000
#> 13 13 8.0 8.100000e+00 2 1 8.053333 8.100000
#> 14 14 9.0 9.100000e+00 2 1 9.060000 9.100000
#> 15 15 1.0 1.000001e+07 3 3 17.074941 17.074941
#> 16 16 2.0 1.000120e+05 3 3 34.149883 34.149883
#> 17 17 3.0 1.024687e+03 3 2 51.224824 1024.687456
#> 18 18 4.0 2.824773e+01 3 1 68.299765 28.247733
#> 19 19 5.0 4.414688e+01 3 1 85.374706 44.146877
#> 20 20 6.0 5.020195e+01 3 1 102.449648 50.201951
#> 21 21 7.0 7.314708e+01 3 1 119.524589 73.147084
#> 22 22 8.0 8.412607e+01 3 1 136.599530 84.126068
#> 23 23 9.0 1.202427e+02 3 1 153.674472 120.242675
#> 24 24 10.0 1.410798e+02 3 1 170.749413 141.079809
#> 25 25 11.0 1.549065e+02 3 1 187.824354 154.906505
#> 26 26 12.0 1.886235e+02 3 1 204.899296 188.623452
#> 27 27 13.0 2.193324e+02 3 1 221.974237 219.332365
#> 28 28 14.0 2.257846e+02 3 1 239.049178 225.784640
#> 29 29 15.0 2.608230e+02 3 1 256.124119 260.823022
#> 30 30 16.0 3.036370e+02 3 1 273.199061 303.636967
#> 31 31 17.0 3.249530e+02 3 1 290.274002 324.952994
#> 32 32 18.0 3.629252e+02 3 1 307.348943 362.925220
#> 33 33 19.0 4.203940e+02 3 1 324.423885 420.394028
#> 34 34 20.0 4.807166e+02 3 1 341.498826 480.716634
#> rStud dffits hii leaveOutResid
#> 1 2.578840e+00 NaN NaN 1.264286e+00
#> 2 4.701767e+00 1.91948820 0.14285714 1.200000e+00
#> 3 1.045493e-01 0.05459908 0.21428571 1.181818e-01
#> 4 -4.766223e-01 -0.30144244 0.28571429 -6.200000e-01
#> 5 -7.354349e-01 -0.54816081 0.35714286 -1.055556e+00
#> 6 1.027537e+01 NaN NaN 1.933333e-01
#> 7 3.205780e+00 NaN NaN 8.666667e-02
#> 8 NA NaN NaN NA
#> 9 2.536456e+05 NaN NaN 9.995973e+03
#> 10 2.124339e+03 NaN NaN 9.496667e+01
#> 11 -9.797959e-01 -0.48989795 0.20000000 -5.000000e-02
#> 12 -1.142302e+00 -0.63018219 0.23333333 -6.086957e-02
#> 13 1.063376e+00 0.64124006 0.26666667 6.363636e-02
#> 14 8.101915e-01 0.53039484 0.30000000 5.714286e-02
#> 15 6.349829e+05 NaN NaN 9.999992e+06
#> 16 4.478108e+03 NaN NaN 9.997787e+04
#> 17 3.551508e+01 NaN NaN 9.734626e+02
#> 18 -1.316592e+00 -0.18619420 0.01960784 -4.085307e+01
#> 19 -1.204942e+00 -0.19099612 0.02450980 -4.226370e+01
#> 20 -1.421424e+00 -0.24743821 0.02941176 -5.383096e+01
#> 21 -1.146549e+00 -0.21612666 0.03431373 -4.802544e+01
#> 22 -1.223326e+00 -0.24714921 0.03921569 -5.461524e+01
#> 23 -7.143491e-01 -0.15346680 0.04411765 -3.497480e+01
#> 24 -6.000489e-01 -0.13623408 0.04901961 -3.119896e+01
#> 25 -6.373587e-01 -0.15216038 0.05392157 -3.479400e+01
#> 26 -2.993787e-01 -0.07484467 0.05882353 -1.729308e+01
#> 27 -4.667453e-02 -0.01217685 0.06372549 -2.821686e+00
#> 28 -2.267877e-01 -0.06156116 0.06862745 -1.424193e+01
#> 29 7.770201e-02 0.02189006 0.07352941 5.071832e+00
#> 30 4.924745e-01 0.14366957 0.07843137 3.302837e+01
#> 31 5.468044e-01 0.16486772 0.08333333 3.783163e+01
#> 32 8.664143e-01 0.26952893 0.08823529 6.095463e+01
#> 33 1.532435e+00 0.49110335 0.09313725 1.058265e+02
#> 34 2.367853e+00 0.78065798 0.09803922 1.543502e+02
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat y coef
#> 1 1 5 0 16.80 0.0000000 15.53571 16.8 0.9415584
#> 2 2 9 3 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 3 3 20 2 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> coefB nModel sigmaHat seEstimate seRobust
#> 1 0 4 0.45158851 0.00000000 0.00000000
#> 2 0 4 0.01850926 0.07586538 0.08701263
#> 3 0 17 15.70998508 27.40983928 29.12493609
#>
#> $total
#> N nImputed estimate cv
#> 1 34 5 4621.58 0.593086
#>
ImputeRegressionTall(z,strataName="k",method="ratio")
#> ID id x y strata category123 estimateYHat estimate
#> 1 1 1 1.1 2.300000e+00 1 2 1.035714 2.300000
#> 2 2 2 2.2 3.100000e+00 1 1 2.071429 3.100000
#> 3 3 3 3.3 3.200000e+00 1 1 3.107143 3.200000
#> 4 4 4 4.4 3.700000e+00 1 1 4.142857 3.700000
#> 5 5 5 5.5 4.500000e+00 1 1 5.178571 4.500000
#> 6 6 6 1.0 1.200000e+00 2 2 1.006667 1.200000
#> 7 7 7 2.0 2.100000e+00 2 2 2.013333 2.100000
#> 8 8 8 3.0 NA 2 3 3.020000 3.020000
#> 9 9 9 4.0 1.000000e+04 2 3 4.026667 4.026667
#> 10 10 10 5.0 1.000000e+02 2 3 5.033333 5.033333
#> 11 11 11 6.0 6.000000e+00 2 1 6.040000 6.000000
#> 12 12 12 7.0 7.000000e+00 2 1 7.046667 7.000000
#> 13 13 13 8.0 8.100000e+00 2 1 8.053333 8.100000
#> 14 14 14 9.0 9.100000e+00 2 1 9.060000 9.100000
#> 15 15 15 1.0 1.000001e+07 3 3 17.074941 17.074941
#> 16 16 16 2.0 1.000120e+05 3 3 34.149883 34.149883
#> 17 17 17 3.0 1.024687e+03 3 2 51.224824 1024.687456
#> 18 18 18 4.0 2.824773e+01 3 1 68.299765 28.247733
#> 19 19 19 5.0 4.414688e+01 3 1 85.374706 44.146877
#> 20 20 20 6.0 5.020195e+01 3 1 102.449648 50.201951
#> 21 21 21 7.0 7.314708e+01 3 1 119.524589 73.147084
#> 22 22 22 8.0 8.412607e+01 3 1 136.599530 84.126068
#> 23 23 23 9.0 1.202427e+02 3 1 153.674472 120.242675
#> 24 24 24 10.0 1.410798e+02 3 1 170.749413 141.079809
#> 25 25 25 11.0 1.549065e+02 3 1 187.824354 154.906505
#> 26 26 26 12.0 1.886235e+02 3 1 204.899296 188.623452
#> 27 27 27 13.0 2.193324e+02 3 1 221.974237 219.332365
#> 28 28 28 14.0 2.257846e+02 3 1 239.049178 225.784640
#> 29 29 29 15.0 2.608230e+02 3 1 256.124119 260.823022
#> 30 30 30 16.0 3.036370e+02 3 1 273.199061 303.636967
#> 31 31 31 17.0 3.249530e+02 3 1 290.274002 324.952994
#> 32 32 32 18.0 3.629252e+02 3 1 307.348943 362.925220
#> 33 33 33 19.0 4.203940e+02 3 1 324.423885 420.394028
#> 34 34 34 20.0 4.807166e+02 3 1 341.498826 480.716634
#> 35 1 NA NA 1.680000e+01 1 NA 15.535714 16.800000
#> 36 2 NA NA 1.013350e+04 2 NA 45.300000 45.580000
#> 37 3 NA NA 1.010453e+07 3 NA 3585.737671 4559.200304
#> 38 Total NA NA NA NA NA NA 4621.580304
#> rStud dffits hii leaveOutResid N nImputed cv
#> 1 2.578840e+00 NaN NaN 1.264286e+00 1 0 NA
#> 2 4.701767e+00 1.91948820 0.14285714 1.200000e+00 1 0 NA
#> 3 1.045493e-01 0.05459908 0.21428571 1.181818e-01 1 0 NA
#> 4 -4.766223e-01 -0.30144244 0.28571429 -6.200000e-01 1 0 NA
#> 5 -7.354349e-01 -0.54816081 0.35714286 -1.055556e+00 1 0 NA
#> 6 1.027537e+01 NaN NaN 1.933333e-01 1 0 NA
#> 7 3.205780e+00 NaN NaN 8.666667e-02 1 0 NA
#> 8 NA NaN NaN NA 1 1 NA
#> 9 2.536456e+05 NaN NaN 9.995973e+03 1 1 NA
#> 10 2.124339e+03 NaN NaN 9.496667e+01 1 1 NA
#> 11 -9.797959e-01 -0.48989795 0.20000000 -5.000000e-02 1 0 NA
#> 12 -1.142302e+00 -0.63018219 0.23333333 -6.086957e-02 1 0 NA
#> 13 1.063376e+00 0.64124006 0.26666667 6.363636e-02 1 0 NA
#> 14 8.101915e-01 0.53039484 0.30000000 5.714286e-02 1 0 NA
#> 15 6.349829e+05 NaN NaN 9.999992e+06 1 1 NA
#> 16 4.478108e+03 NaN NaN 9.997787e+04 1 1 NA
#> 17 3.551508e+01 NaN NaN 9.734626e+02 1 0 NA
#> 18 -1.316592e+00 -0.18619420 0.01960784 -4.085307e+01 1 0 NA
#> 19 -1.204942e+00 -0.19099612 0.02450980 -4.226370e+01 1 0 NA
#> 20 -1.421424e+00 -0.24743821 0.02941176 -5.383096e+01 1 0 NA
#> 21 -1.146549e+00 -0.21612666 0.03431373 -4.802544e+01 1 0 NA
#> 22 -1.223326e+00 -0.24714921 0.03921569 -5.461524e+01 1 0 NA
#> 23 -7.143491e-01 -0.15346680 0.04411765 -3.497480e+01 1 0 NA
#> 24 -6.000489e-01 -0.13623408 0.04901961 -3.119896e+01 1 0 NA
#> 25 -6.373587e-01 -0.15216038 0.05392157 -3.479400e+01 1 0 NA
#> 26 -2.993787e-01 -0.07484467 0.05882353 -1.729308e+01 1 0 NA
#> 27 -4.667453e-02 -0.01217685 0.06372549 -2.821686e+00 1 0 NA
#> 28 -2.267877e-01 -0.06156116 0.06862745 -1.424193e+01 1 0 NA
#> 29 7.770201e-02 0.02189006 0.07352941 5.071832e+00 1 0 NA
#> 30 4.924745e-01 0.14366957 0.07843137 3.302837e+01 1 0 NA
#> 31 5.468044e-01 0.16486772 0.08333333 3.783163e+01 1 0 NA
#> 32 8.664143e-01 0.26952893 0.08823529 6.095463e+01 1 0 NA
#> 33 1.532435e+00 0.49110335 0.09313725 1.058265e+02 1 0 NA
#> 34 2.367853e+00 0.78065798 0.09803922 1.543502e+02 1 0 NA
#> 35 NA NA NA NA 5 0 0.0000000
#> 36 NA NA NA NA 9 3 0.1664444
#> 37 NA NA NA NA 20 2 0.6011984
#> 38 NA NA NA NA 34 5 0.5930860
#> coef coefB nModel sigmaHat seEstimate seRobust
#> 1 NA NA NA NA NA NA
#> 2 NA NA NA NA NA NA
#> 3 NA NA NA NA NA NA
#> 4 NA NA NA NA NA NA
#> 5 NA NA NA NA NA NA
#> 6 NA NA NA NA NA NA
#> 7 NA NA NA NA NA NA
#> 8 NA NA NA NA NA NA
#> 9 NA NA NA NA NA NA
#> 10 NA NA NA NA NA NA
#> 11 NA NA NA NA NA NA
#> 12 NA NA NA NA NA NA
#> 13 NA NA NA NA NA NA
#> 14 NA NA NA NA NA NA
#> 15 NA NA NA NA NA NA
#> 16 NA NA NA NA NA NA
#> 17 NA NA NA NA NA NA
#> 18 NA NA NA NA NA NA
#> 19 NA NA NA NA NA NA
#> 20 NA NA NA NA NA NA
#> 21 NA NA NA NA NA NA
#> 22 NA NA NA NA NA NA
#> 23 NA NA NA NA NA NA
#> 24 NA NA NA NA NA NA
#> 25 NA NA NA NA NA NA
#> 26 NA NA NA NA NA NA
#> 27 NA NA NA NA NA NA
#> 28 NA NA NA NA NA NA
#> 29 NA NA NA NA NA NA
#> 30 NA NA NA NA NA NA
#> 31 NA NA NA NA NA NA
#> 32 NA NA NA NA NA NA
#> 33 NA NA NA NA NA NA
#> 34 NA NA NA NA NA NA
#> 35 0.9415584 0 4 0.45158851 0.00000000 0.00000000
#> 36 1.0066667 0 4 0.01850926 0.07586538 0.08701263
#> 37 17.0749413 0 17 15.70998508 27.40983928 29.12493609
#> 38 NA NA NA NA NA NA
ImputeRegressionTallSmall(z,strataName="k",method="ratio")
#> ID estimate nImputed cv
#> 1 1 2.300000 0 NA
#> 2 2 3.100000 0 NA
#> 3 3 3.200000 0 NA
#> 4 4 3.700000 0 NA
#> 5 5 4.500000 0 NA
#> 6 6 1.200000 0 NA
#> 7 7 2.100000 0 NA
#> 8 8 3.020000 1 NA
#> 9 9 4.026667 1 NA
#> 10 10 5.033333 1 NA
#> 11 11 6.000000 0 NA
#> 12 12 7.000000 0 NA
#> 13 13 8.100000 0 NA
#> 14 14 9.100000 0 NA
#> 15 15 17.074941 1 NA
#> 16 16 34.149883 1 NA
#> 17 17 1024.687456 0 NA
#> 18 18 28.247733 0 NA
#> 19 19 44.146877 0 NA
#> 20 20 50.201951 0 NA
#> 21 21 73.147084 0 NA
#> 22 22 84.126068 0 NA
#> 23 23 120.242675 0 NA
#> 24 24 141.079809 0 NA
#> 25 25 154.906505 0 NA
#> 26 26 188.623452 0 NA
#> 27 27 219.332365 0 NA
#> 28 28 225.784640 0 NA
#> 29 29 260.823022 0 NA
#> 30 30 303.636967 0 NA
#> 31 31 324.952994 0 NA
#> 32 32 362.925220 0 NA
#> 33 33 420.394028 0 NA
#> 34 34 480.716634 0 NA
#> 35 1 16.800000 0 0.0000000
#> 36 2 45.580000 3 0.1664444
#> 37 3 4559.200304 2 0.6011984
#> 38 Total 4621.580304 5 0.5930860
ImputeRegressionWide(z,strataName="k",method="ratio")
#> id x y strata category123 estimateYHat estimate
#> 1 1 1.1 2.300000e+00 1 2 1.035714 2.300000
#> 2 2 2.2 3.100000e+00 1 1 2.071429 3.100000
#> 3 3 3.3 3.200000e+00 1 1 3.107143 3.200000
#> 4 4 4.4 3.700000e+00 1 1 4.142857 3.700000
#> 5 5 5.5 4.500000e+00 1 1 5.178571 4.500000
#> 6 6 1.0 1.200000e+00 2 2 1.006667 1.200000
#> 7 7 2.0 2.100000e+00 2 2 2.013333 2.100000
#> 8 8 3.0 NA 2 3 3.020000 3.020000
#> 9 9 4.0 1.000000e+04 2 3 4.026667 4.026667
#> 10 10 5.0 1.000000e+02 2 3 5.033333 5.033333
#> 11 11 6.0 6.000000e+00 2 1 6.040000 6.000000
#> 12 12 7.0 7.000000e+00 2 1 7.046667 7.000000
#> 13 13 8.0 8.100000e+00 2 1 8.053333 8.100000
#> 14 14 9.0 9.100000e+00 2 1 9.060000 9.100000
#> 15 15 1.0 1.000001e+07 3 3 17.074941 17.074941
#> 16 16 2.0 1.000120e+05 3 3 34.149883 34.149883
#> 17 17 3.0 1.024687e+03 3 2 51.224824 1024.687456
#> 18 18 4.0 2.824773e+01 3 1 68.299765 28.247733
#> 19 19 5.0 4.414688e+01 3 1 85.374706 44.146877
#> 20 20 6.0 5.020195e+01 3 1 102.449648 50.201951
#> 21 21 7.0 7.314708e+01 3 1 119.524589 73.147084
#> 22 22 8.0 8.412607e+01 3 1 136.599530 84.126068
#> 23 23 9.0 1.202427e+02 3 1 153.674472 120.242675
#> 24 24 10.0 1.410798e+02 3 1 170.749413 141.079809
#> 25 25 11.0 1.549065e+02 3 1 187.824354 154.906505
#> 26 26 12.0 1.886235e+02 3 1 204.899296 188.623452
#> 27 27 13.0 2.193324e+02 3 1 221.974237 219.332365
#> 28 28 14.0 2.257846e+02 3 1 239.049178 225.784640
#> 29 29 15.0 2.608230e+02 3 1 256.124119 260.823022
#> 30 30 16.0 3.036370e+02 3 1 273.199061 303.636967
#> 31 31 17.0 3.249530e+02 3 1 290.274002 324.952994
#> 32 32 18.0 3.629252e+02 3 1 307.348943 362.925220
#> 33 33 19.0 4.203940e+02 3 1 324.423885 420.394028
#> 34 34 20.0 4.807166e+02 3 1 341.498826 480.716634
#> rStud dffits hii leaveOutResid Strata_N Strata_nImputed
#> 1 2.578840e+00 NaN NaN 1.264286e+00 5 0
#> 2 4.701767e+00 1.91948820 0.14285714 1.200000e+00 5 0
#> 3 1.045493e-01 0.05459908 0.21428571 1.181818e-01 5 0
#> 4 -4.766223e-01 -0.30144244 0.28571429 -6.200000e-01 5 0
#> 5 -7.354349e-01 -0.54816081 0.35714286 -1.055556e+00 5 0
#> 6 1.027537e+01 NaN NaN 1.933333e-01 9 3
#> 7 3.205780e+00 NaN NaN 8.666667e-02 9 3
#> 8 NA NaN NaN NA 9 3
#> 9 2.536456e+05 NaN NaN 9.995973e+03 9 3
#> 10 2.124339e+03 NaN NaN 9.496667e+01 9 3
#> 11 -9.797959e-01 -0.48989795 0.20000000 -5.000000e-02 9 3
#> 12 -1.142302e+00 -0.63018219 0.23333333 -6.086957e-02 9 3
#> 13 1.063376e+00 0.64124006 0.26666667 6.363636e-02 9 3
#> 14 8.101915e-01 0.53039484 0.30000000 5.714286e-02 9 3
#> 15 6.349829e+05 NaN NaN 9.999992e+06 20 2
#> 16 4.478108e+03 NaN NaN 9.997787e+04 20 2
#> 17 3.551508e+01 NaN NaN 9.734626e+02 20 2
#> 18 -1.316592e+00 -0.18619420 0.01960784 -4.085307e+01 20 2
#> 19 -1.204942e+00 -0.19099612 0.02450980 -4.226370e+01 20 2
#> 20 -1.421424e+00 -0.24743821 0.02941176 -5.383096e+01 20 2
#> 21 -1.146549e+00 -0.21612666 0.03431373 -4.802544e+01 20 2
#> 22 -1.223326e+00 -0.24714921 0.03921569 -5.461524e+01 20 2
#> 23 -7.143491e-01 -0.15346680 0.04411765 -3.497480e+01 20 2
#> 24 -6.000489e-01 -0.13623408 0.04901961 -3.119896e+01 20 2
#> 25 -6.373587e-01 -0.15216038 0.05392157 -3.479400e+01 20 2
#> 26 -2.993787e-01 -0.07484467 0.05882353 -1.729308e+01 20 2
#> 27 -4.667453e-02 -0.01217685 0.06372549 -2.821686e+00 20 2
#> 28 -2.267877e-01 -0.06156116 0.06862745 -1.424193e+01 20 2
#> 29 7.770201e-02 0.02189006 0.07352941 5.071832e+00 20 2
#> 30 4.924745e-01 0.14366957 0.07843137 3.302837e+01 20 2
#> 31 5.468044e-01 0.16486772 0.08333333 3.783163e+01 20 2
#> 32 8.664143e-01 0.26952893 0.08823529 6.095463e+01 20 2
#> 33 1.532435e+00 0.49110335 0.09313725 1.058265e+02 20 2
#> 34 2.367853e+00 0.78065798 0.09803922 1.543502e+02 20 2
#> Strata_estimate Strata_cv Strata_estimateYHat Strata_y Strata_coef
#> 1 16.80 0.0000000 15.53571 16.8 0.9415584
#> 2 16.80 0.0000000 15.53571 16.8 0.9415584
#> 3 16.80 0.0000000 15.53571 16.8 0.9415584
#> 4 16.80 0.0000000 15.53571 16.8 0.9415584
#> 5 16.80 0.0000000 15.53571 16.8 0.9415584
#> 6 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 7 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 8 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 9 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 10 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 11 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 12 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 13 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 14 45.58 0.1664444 45.30000 10133.5 1.0066667
#> 15 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 16 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 17 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 18 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 19 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 20 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 21 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 22 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 23 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 24 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 25 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 26 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 27 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 28 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 29 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 30 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 31 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 32 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 33 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> 34 4559.20 0.6011984 3585.73767 10104528.6 17.0749413
#> Strata_coefB Strata_nModel Strata_sigmaHat Strata_seEstimate Strata_seRobust
#> 1 0 4 0.45158851 0.00000000 0.00000000
#> 2 0 4 0.45158851 0.00000000 0.00000000
#> 3 0 4 0.45158851 0.00000000 0.00000000
#> 4 0 4 0.45158851 0.00000000 0.00000000
#> 5 0 4 0.45158851 0.00000000 0.00000000
#> 6 0 4 0.01850926 0.07586538 0.08701263
#> 7 0 4 0.01850926 0.07586538 0.08701263
#> 8 0 4 0.01850926 0.07586538 0.08701263
#> 9 0 4 0.01850926 0.07586538 0.08701263
#> 10 0 4 0.01850926 0.07586538 0.08701263
#> 11 0 4 0.01850926 0.07586538 0.08701263
#> 12 0 4 0.01850926 0.07586538 0.08701263
#> 13 0 4 0.01850926 0.07586538 0.08701263
#> 14 0 4 0.01850926 0.07586538 0.08701263
#> 15 0 17 15.70998508 27.40983928 29.12493609
#> 16 0 17 15.70998508 27.40983928 29.12493609
#> 17 0 17 15.70998508 27.40983928 29.12493609
#> 18 0 17 15.70998508 27.40983928 29.12493609
#> 19 0 17 15.70998508 27.40983928 29.12493609
#> 20 0 17 15.70998508 27.40983928 29.12493609
#> 21 0 17 15.70998508 27.40983928 29.12493609
#> 22 0 17 15.70998508 27.40983928 29.12493609
#> 23 0 17 15.70998508 27.40983928 29.12493609
#> 24 0 17 15.70998508 27.40983928 29.12493609
#> 25 0 17 15.70998508 27.40983928 29.12493609
#> 26 0 17 15.70998508 27.40983928 29.12493609
#> 27 0 17 15.70998508 27.40983928 29.12493609
#> 28 0 17 15.70998508 27.40983928 29.12493609
#> 29 0 17 15.70998508 27.40983928 29.12493609
#> 30 0 17 15.70998508 27.40983928 29.12493609
#> 31 0 17 15.70998508 27.40983928 29.12493609
#> 32 0 17 15.70998508 27.40983928 29.12493609
#> 33 0 17 15.70998508 27.40983928 29.12493609
#> 34 0 17 15.70998508 27.40983928 29.12493609
#> Total_N Total_nImputed Total_estimate Total_cv
#> 1 34 5 4621.58 0.593086
#> 2 34 5 4621.58 0.593086
#> 3 34 5 4621.58 0.593086
#> 4 34 5 4621.58 0.593086
#> 5 34 5 4621.58 0.593086
#> 6 34 5 4621.58 0.593086
#> 7 34 5 4621.58 0.593086
#> 8 34 5 4621.58 0.593086
#> 9 34 5 4621.58 0.593086
#> 10 34 5 4621.58 0.593086
#> 11 34 5 4621.58 0.593086
#> 12 34 5 4621.58 0.593086
#> 13 34 5 4621.58 0.593086
#> 14 34 5 4621.58 0.593086
#> 15 34 5 4621.58 0.593086
#> 16 34 5 4621.58 0.593086
#> 17 34 5 4621.58 0.593086
#> 18 34 5 4621.58 0.593086
#> 19 34 5 4621.58 0.593086
#> 20 34 5 4621.58 0.593086
#> 21 34 5 4621.58 0.593086
#> 22 34 5 4621.58 0.593086
#> 23 34 5 4621.58 0.593086
#> 24 34 5 4621.58 0.593086
#> 25 34 5 4621.58 0.593086
#> 26 34 5 4621.58 0.593086
#> 27 34 5 4621.58 0.593086
#> 28 34 5 4621.58 0.593086
#> 29 34 5 4621.58 0.593086
#> 30 34 5 4621.58 0.593086
#> 31 34 5 4621.58 0.593086
#> 32 34 5 4621.58 0.593086
#> 33 34 5 4621.58 0.593086
#> 34 34 5 4621.58 0.593086
ImputeRegressionWideSmall(z,strataName="k",method="ratio")
#> id strata estimate Strata_estimate Strata_cv Strata_nImputed
#> 1 1 1 2.300000 16.80 0.0000000 0
#> 2 2 1 3.100000 16.80 0.0000000 0
#> 3 3 1 3.200000 16.80 0.0000000 0
#> 4 4 1 3.700000 16.80 0.0000000 0
#> 5 5 1 4.500000 16.80 0.0000000 0
#> 6 6 2 1.200000 45.58 0.1664444 3
#> 7 7 2 2.100000 45.58 0.1664444 3
#> 8 8 2 3.020000 45.58 0.1664444 3
#> 9 9 2 4.026667 45.58 0.1664444 3
#> 10 10 2 5.033333 45.58 0.1664444 3
#> 11 11 2 6.000000 45.58 0.1664444 3
#> 12 12 2 7.000000 45.58 0.1664444 3
#> 13 13 2 8.100000 45.58 0.1664444 3
#> 14 14 2 9.100000 45.58 0.1664444 3
#> 15 15 3 17.074941 4559.20 0.6011984 2
#> 16 16 3 34.149883 4559.20 0.6011984 2
#> 17 17 3 1024.687456 4559.20 0.6011984 2
#> 18 18 3 28.247733 4559.20 0.6011984 2
#> 19 19 3 44.146877 4559.20 0.6011984 2
#> 20 20 3 50.201951 4559.20 0.6011984 2
#> 21 21 3 73.147084 4559.20 0.6011984 2
#> 22 22 3 84.126068 4559.20 0.6011984 2
#> 23 23 3 120.242675 4559.20 0.6011984 2
#> 24 24 3 141.079809 4559.20 0.6011984 2
#> 25 25 3 154.906505 4559.20 0.6011984 2
#> 26 26 3 188.623452 4559.20 0.6011984 2
#> 27 27 3 219.332365 4559.20 0.6011984 2
#> 28 28 3 225.784640 4559.20 0.6011984 2
#> 29 29 3 260.823022 4559.20 0.6011984 2
#> 30 30 3 303.636967 4559.20 0.6011984 2
#> 31 31 3 324.952994 4559.20 0.6011984 2
#> 32 32 3 362.925220 4559.20 0.6011984 2
#> 33 33 3 420.394028 4559.20 0.6011984 2
#> 34 34 3 480.716634 4559.20 0.6011984 2
#> Total_estimate Total_cv Total_nImputed
#> 1 4621.58 0.593086 5
#> 2 4621.58 0.593086 5
#> 3 4621.58 0.593086 5
#> 4 4621.58 0.593086 5
#> 5 4621.58 0.593086 5
#> 6 4621.58 0.593086 5
#> 7 4621.58 0.593086 5
#> 8 4621.58 0.593086 5
#> 9 4621.58 0.593086 5
#> 10 4621.58 0.593086 5
#> 11 4621.58 0.593086 5
#> 12 4621.58 0.593086 5
#> 13 4621.58 0.593086 5
#> 14 4621.58 0.593086 5
#> 15 4621.58 0.593086 5
#> 16 4621.58 0.593086 5
#> 17 4621.58 0.593086 5
#> 18 4621.58 0.593086 5
#> 19 4621.58 0.593086 5
#> 20 4621.58 0.593086 5
#> 21 4621.58 0.593086 5
#> 22 4621.58 0.593086 5
#> 23 4621.58 0.593086 5
#> 24 4621.58 0.593086 5
#> 25 4621.58 0.593086 5
#> 26 4621.58 0.593086 5
#> 27 4621.58 0.593086 5
#> 28 4621.58 0.593086 5
#> 29 4621.58 0.593086 5
#> 30 4621.58 0.593086 5
#> 31 4621.58 0.593086 5
#> 32 4621.58 0.593086 5
#> 33 4621.58 0.593086 5
#> 34 4621.58 0.593086 5
rateData <- KostraData("rateData") # Real Kostra data set
w <- rateData$data[, c(17,19,16,5)] # Data with id, strata, x and y
w <- w[is.finite(w[,"Ny.kostragruppe"]), ] # Remove Longyearbyen
ImputeRegression(w, strataName = names(w)[2]) # Works without combining strata
#> $micro
#> id x y strata category123 yHat yImputed rStud
#> 1 101 30544 2792 13 1 15278.87026 2792.0000 -1.508859460
#> 2 104 32182 11319 13 1 16641.90342 11319.0000 -0.629887967
#> 3 105 54678 32854 13 1 35361.55788 32854.0000 -0.297245759
#> 4 106 78967 42362 13 1 55573.22604 42362.0000 -1.670799890
#> 5 111 4511 3278 3 1 2028.34305 3278.0000 0.845395433
#> 6 118 1404 853 5 1 389.27639 853.0000 0.951478555
#> 7 119 3610 1531 1 1 875.35126 1531.0000 0.696946145
#> 8 121 672 103 4 1 157.72102 103.0000 -0.156149649
#> 9 122 5343 2226 10 1 2308.20823 2226.0000 -0.062404605
#> 10 123 5736 2512 11 1 2242.75581 2512.0000 0.091128541
#> 11 124 15615 6721 8 1 6903.42535 6721.0000 -0.048967855
#> 12 125 11396 10538 10 2 2098.11927 10538.0000 6.073534242
#> 13 127 3742 0 2 1 1100.51372 0.0000 -1.295483623
#> 14 128 8084 474 11 1 3980.55545 474.0000 -1.195302510
#> 15 135 7357 1507 7 1 1585.60406 1507.0000 -0.027306369
#> 16 136 15458 5491 7 1 5762.94798 5491.0000 -0.093103545
#> 17 137 5186 331 1 1 830.25856 331.0000 -0.580435607
#> 18 138 5382 811 1 1 824.65059 811.0000 -0.016103168
#> 19 211 16732 9867 7 1 6419.89602 9867.0000 1.223205301
#> 20 213 30261 22914 13 1 15043.37674 22914.0000 0.936991134
#> 21 214 18992 9635 7 1 7585.28267 9635.0000 0.732655991
#> 22 215 15695 7751 8 1 6937.32298 7751.0000 0.218817658
#> 23 216 18623 10648 7 1 7395.00494 10648.0000 1.174823088
#> 24 217 26792 14146 13 1 12156.70883 14146.0000 0.235116477
#> 25 219 122348 97383 13 1 91671.96937 97383.0000 0.839299251
#> 26 220 60106 53067 13 1 39878.37350 53067.0000 1.614693030
#> 27 221 15914 0 7 1 5998.08794 0.0000 -2.242635178
#> 28 226 17443 4400 7 1 6786.52873 4400.0000 -0.840469753
#> 29 227 11374 1353 7 1 3657.00148 1353.0000 -0.791369412
#> 30 228 17426 11010 7 1 6777.76254 11010.0000 1.533864986
#> 31 229 10870 2809 7 1 3397.10995 2809.0000 -0.200078326
#> 32 230 36368 23871 13 1 20125.21039 23871.0000 0.441844850
#> 33 231 52522 41227 13 1 33567.48004 41227.0000 0.913982193
#> 34 233 22857 9878 13 1 8882.26714 9878.0000 0.117962955
#> 35 234 6323 400 7 1 1052.41389 400.0000 -0.229412235
#> 36 235 34189 23717 13 1 18311.99350 23717.0000 0.639319667
#> 37 236 20783 112 7 2 8508.82581 112.0000 -2.648121214
#> 38 237 23811 13445 13 1 9676.12162 13445.0000 0.447077763
#> 39 238 12267 4830 7 1 4117.48391 4830.0000 0.241988627
#> 40 239 2837 1245 2 1 892.80012 1245.0000 0.408446291
#> 41 301 658390 455113 15 1 455113.00000 455113.0000 NaN
#> 42 402 17835 10354 8 1 7844.08453 10354.0000 0.699924685
#> 43 403 30120 23153 13 1 14926.04605 23153.0000 0.980359750
#> 44 412 33597 7146 13 1 17819.37102 7146.0000 -1.279634278
#> 45 415 7588 3649 7 1 1704.72102 3649.0000 0.679684523
#> 46 417 20119 616 10 1 1795.35933 616.0000 -1.215165749
#> 47 418 5131 2657 10 1 2315.56638 2657.0000 0.260400915
#> 48 419 7901 2904 7 1 1866.12191 2904.0000 0.359618137
#> 49 420 6142 1440 11 1 2543.24416 1440.0000 -0.373061446
#> 50 423 4763 1537 2 1 1334.85139 1537.0000 0.240190444
#> 51 425 7456 1500 11 1 3515.76066 1500.0000 -0.680887918
#> 52 426 3760 NA 2 3 1104.64504 1104.6450 NA
#> 53 427 21030 7919 13 1 7361.96092 7919.0000 0.066088569
#> 54 428 6525 10 11 1 2826.70978 10.0000 -0.958329232
#> 55 429 4429 0 2 1 1258.19244 0.0000 -1.510965955
#> 56 430 2600 309 2 1 838.40440 309.0000 -0.617460909
#> 57 432 1881 742 3 1 1546.86207 742.0000 -0.554445409
#> 58 434 1305 409 6 1 648.29522 409.0000 -0.373140157
#> 59 436 1620 569 5 1 409.65474 569.0000 0.325329512
#> 60 437 5580 1909 12 1 5041.80161 1909.0000 -0.771059693
#> 61 438 2426 830 2 1 798.46830 830.0000 0.036764266
#> 62 439 1592 0 2 1 607.05046 0.0000 -0.732363727
#> 63 441 1956 1828 5 2 441.35441 1828.0000 2.660085130
#> 64 501 27476 20635 13 1 12725.88751 20635.0000 0.943015589
#> 65 502 30137 7666 13 1 14940.19230 7666.0000 -0.864805051
#> 66 511 2701 1256 2 1 861.58570 1256.0000 0.458448428
#> 67 512 2055 742 5 1 450.69449 742.0000 0.626776777
#> 68 513 2204 3199 3 1 1605.99452 3199.0000 1.097509045
#> 69 514 2347 NA 3 3 1632.17391 1632.1739 NA
#> 70 515 3664 1721 2 1 1082.61133 1721.0000 0.742484572
#> 71 516 5741 7149 12 1 5125.19814 7149.0000 0.491485186
#> 72 517 5935 4099 11 1 2390.03951 4099.0000 0.579674720
#> 73 519 3154 0 2 1 965.55726 0.0000 -1.129548887
#> 74 520 4462 1576 2 1 1265.76653 1576.0000 0.365031454
#> 75 521 5072 1535 11 1 1751.31673 1535.0000 -0.073551783
#> 76 522 6227 5721 11 1 2606.15429 5721.0000 1.063414688
#> 77 528 14906 824 10 1 1976.29336 824.0000 -0.940625786
#> 78 529 13180 1803 7 1 4588.27949 1803.0000 -0.961559682
#> 79 532 6629 3715 7 1 1210.20518 3715.0000 0.889551612
#> 80 533 9044 1433 7 1 2455.51879 1433.0000 -0.351275148
#> 81 534 13695 3384 10 1 2018.32504 3384.0000 1.097523914
#> 82 536 5758 1961 10 1 2293.80431 1961.0000 -0.251897135
#> 83 538 6751 445 11 1 2993.97670 445.0000 -0.865027926
#> 84 540 3058 0 2 1 943.52355 0.0000 -1.103655726
#> 85 541 1321 1097 6 1 654.38682 1097.0000 0.693372151
#> 86 542 6458 5303 11 1 2777.12180 5303.0000 0.858046837
#> 87 543 2168 801 2 1 739.25271 801.0000 0.072484246
#> 88 544 3220 0 2 1 980.70543 0.0000 -1.147522963
#> 89 545 1590 140 6 1 756.80181 140.0000 -0.971180382
#> 90 602 67895 56116 13 1 46359.85415 56116.0000 1.191451214
#> 91 604 27013 0 13 1 12340.61013 0.0000 -1.493126910
#> 92 605 29801 15997 13 1 14660.59575 15997.0000 0.157644013
#> 93 612 6767 2624 8 1 3154.34771 2624.0000 -0.148100355
#> 94 615 1074 1145 5 1 358.14278 1145.0000 1.672219809
#> 95 616 3422 1726 2 1 1027.06803 1726.0000 0.812563523
#> 96 617 4578 2957 2 1 1292.39059 2957.0000 2.045430685
#> 97 618 2422 1291 2 1 797.55023 1291.0000 0.577333866
#> 98 619 4711 690 3 1 2064.95758 690.0000 -0.940625973
#> 99 620 4497 1208 3 1 2025.78004 1208.0000 -0.548653162
#> 100 621 3512 106 2 1 1047.72463 106.0000 -1.101331352
#> 101 622 2275 260 1 1 913.54844 260.0000 -0.716473290
#> 102 623 13794 3835 10 1 2014.88892 3835.0000 1.510534866
#> 103 624 18205 7781 7 1 7179.45998 7781.0000 0.211011929
#> 104 625 24431 5406 13 1 10192.04382 5406.0000 -0.568245827
#> 105 626 25731 20942 13 1 11273.81617 20942.0000 1.159717222
#> 106 627 21492 4783 13 1 7746.40617 4783.0000 -0.351906616
#> 107 628 9413 16 7 1 2645.79652 16.0000 -0.913206240
#> 108 631 2699 1216 1 1 901.41690 1216.0000 0.334091612
#> 109 632 1404 304 6 1 685.98698 304.0000 -0.596811209
#> 110 633 2548 1873 6 1 1121.53626 1873.0000 1.231279779
#> 111 701 27178 2934 13 1 12477.91201 2934.0000 -1.143303366
#> 112 702 10741 2043 7 1 3330.59009 2043.0000 -0.439447250
#> 113 704 42276 29885 13 1 25041.44965 29885.0000 0.572239919
#> 114 706 45820 20503 13 1 27990.52751 20503.0000 -0.889946477
#> 115 709 43867 14068 13 1 26365.37258 14068.0000 -1.483060336
#> 116 711 6604 781 7 1 1197.31373 781.0000 -0.145827982
#> 117 713 9297 2501 10 1 2170.97186 2501.0000 0.245853906
#> 118 714 3163 2201 2 1 967.62292 2201.0000 1.454821601
#> 119 716 9361 3876 8 1 4253.47829 3876.0000 -0.101745321
#> 120 719 5937 1232 10 1 2287.59154 1232.0000 -0.812147409
#> 121 720 11657 2907 7 1 3802.93264 2907.0000 -0.304610877
#> 122 722 21621 7164 13 1 7853.75127 7164.0000 -0.081792759
#> 123 723 4971 1143 1 1 836.41017 1143.0000 0.346220989
#> 124 728 2474 0 1 1 907.85463 0.0000 -0.998073452
#> 125 805 35955 12781 13 1 19781.53963 12781.0000 -0.830317453
#> 126 806 53952 72675 13 2 34757.42962 72675.0000 4.394723248
#> 127 807 12717 9812 11 1 7409.52724 9812.0000 0.835644776
#> 128 811 2335 106 1 1 911.83171 106.0000 -0.887181668
#> 129 814 14088 6103 8 1 6256.40438 6103.0000 -0.040807014
#> 130 815 10607 4926 11 1 5847.87594 4926.0000 -0.312533017
#> 131 817 4136 1600 2 1 1190.94373 1600.0000 0.477682909
#> 132 819 6534 2033 11 1 2833.37085 2033.0000 -0.269984424
#> 133 821 6101 265 11 1 2512.89928 265.0000 -0.763711790
#> 134 822 4338 447 1 1 854.52164 447.0000 -0.439964336
#> 135 826 5940 3801 12 1 5228.27833 3801.0000 -0.344441597
#> 136 827 1613 0 5 1 408.99433 0.0000 -0.843309516
#> 137 828 2991 1015 2 1 928.14586 1015.0000 0.100412320
#> 138 829 2448 2806 2 1 803.51770 2806.0000 2.475201625
#> 139 830 1443 377 5 1 392.95581 377.0000 -0.032267744
#> 140 831 1323 1587 6 1 655.14827 1587.0000 1.495422899
#> 141 833 2246 2287 3 1 1613.68357 2287.0000 0.454453505
#> 142 834 3727 0 3 1 1884.81412 0.0000 -1.274204629
#> 143 901 6920 2037 11 1 3119.05682 2037.0000 -0.364732704
#> 144 904 22550 8696 13 1 8626.80244 8696.0000 0.008198538
#> 145 906 44313 23978 13 1 26736.50371 23978.0000 -0.325250525
#> 146 911 2473 0 2 1 809.25564 0.0000 -0.951223648
#> 147 912 2036 2438 1 1 920.38674 2438.0000 1.821342285
#> 148 914 6014 370 10 1 2284.91900 370.0000 -1.546852581
#> 149 919 5618 11348 11 2 2155.42176 11348.0000 3.037889496
#> 150 926 10577 4156 11 1 5825.67237 4156.0000 -0.567231956
#> 151 928 5147 387 2 1 1422.98622 387.0000 -1.272364352
#> 152 929 1847 1072 6 1 854.64811 1072.0000 0.339216475
#> 153 935 1317 NA 5 3 381.06843 381.0684 NA
#> 154 937 3582 1088 1 1 876.15240 1088.0000 0.222287131
#> 155 938 1204 784 6 1 609.84200 784.0000 0.271796088
#> 156 940 1242 3053 6 2 624.30955 3053.0000 3.717878240
#> 157 941 945 4103 16 2 726.15929 4103.0000 2.528673197
#> 158 1001 88447 78937 13 1 63461.84287 78937.0000 2.031853275
#> 159 1002 15529 14448 8 1 6866.98540 14448.0000 2.298898799
#> 160 1003 9705 11708 11 1 5180.28851 11708.0000 2.317945645
#> 161 1004 9096 6981 11 1 4729.55598 6981.0000 0.761911806
#> 162 1014 14308 6404 8 1 6349.62286 6404.0000 0.014477245
#> 163 1017 6419 3191 10 1 2270.86217 3191.0000 0.701247064
#> 164 1018 11260 1007 7 1 3598.21649 1007.0000 -0.892969951
#> 165 1021 2290 1879 4 2 651.35381 1879.0000 3.156816733
#> 166 1026 942 696 6 1 510.09208 696.0000 0.292383279
#> 167 1027 1750 455 4 1 486.60615 455.0000 -0.089234031
#> 168 1029 4943 1512 2 1 1376.16459 1512.0000 0.162576204
#> 169 1032 8497 8749 11 1 4286.22464 8749.0000 1.535488238
#> 170 1034 1702 45 5 1 417.39097 45.0000 -0.771058306
#> 171 1037 5981 863 12 1 5249.51595 863.0000 -1.095293473
#> 172 1046 1832 739 16 1 1512.04772 739.0000 -0.652496773
#> 173 1101 14942 5848 10 2 1975.04387 5848.0000 2.667125765
#> 174 1102 74820 47888 13 1 52122.37224 47888.0000 -0.516762903
#> 175 1103 132644 138672 14 1 103492.33349 138672.0000 NaN
#> 176 1106 36951 28370 13 1 20610.34368 28370.0000 0.921855675
#> 177 1111 3313 0 1 1 883.84906 0.0000 -0.949112680
#> 178 1112 3243 5084 2 2 985.98434 5084.0000 4.688376866
#> 179 1114 2825 566 2 1 890.04590 566.0000 -0.375751986
#> 180 1119 18591 0 7 1 7378.50389 0.0000 -3.000061623
#> 181 1120 18970 7220 7 1 7573.93820 7220.0000 -0.125273099
#> 182 1121 18572 6665 8 1 8156.36642 6665.0000 -0.417495084
#> 183 1122 11853 5484 8 1 5309.38940 5484.0000 0.046375431
#> 184 1124 26096 22687 13 1 11577.54456 22687.0000 1.338693135
#> 185 1127 10737 11144 8 1 4836.51749 11144.0000 1.823732054
#> 186 1129 1238 1386 16 1 985.75942 1386.0000 0.337809065
#> 187 1130 12464 2357 8 1 5568.28253 2357.0000 -0.868821437
#> 188 1133 2737 2196 3 1 1703.57223 2196.0000 0.326229655
#> 189 1134 3903 4214 16 1 3346.96873 4214.0000 0.999320396
#> 190 1135 4710 7117 3 2 2064.77450 7117.0000 3.182860427
#> 191 1141 3221 0 2 1 980.93495 0.0000 -1.147796420
#> 192 1142 4856 1491 2 1 1356.19654 1491.0000 0.160729168
#> 193 1144 524 178 4 1 112.56796 178.0000 0.189260901
#> 194 1145 865 15 5 1 338.42483 15.0000 -0.670857210
#> 195 1146 10925 5125 12 1 7810.46290 5125.0000 -0.649328251
#> 196 1149 42187 13044 13 1 24967.38985 13044.0000 -1.435336718
#> 197 1151 200 563 4 1 13.71937 563.0000 1.976417089
#> 198 1160 8788 2689 11 1 4501.59930 2689.0000 -0.611729710
#> 199 1201 277391 205308 14 1 183932.08788 205308.0000 NaN
#> 200 1211 4106 674 1 1 861.15965 674.0000 -0.198981049
#> 201 1216 5593 1531 11 1 2136.91878 1531.0000 -0.205334454
#> 202 1219 11778 262 11 1 6714.55540 262.0000 -2.324258481
#> 203 1221 18775 6421 8 1 8242.38165 6421.0000 -0.512928339
#> 204 1222 3140 0 3 1 1777.35049 0.0000 -1.198341343
#> 205 1223 2797 169 2 1 883.61941 169.0000 -0.833593104
#> 206 1224 13271 829 11 1 7819.55322 829.0000 -2.593502207
#> 207 1227 1104 0 6 1 571.76951 0.0000 -0.903864868
#> 208 1228 6930 6358 12 1 5741.08931 6358.0000 0.147085083
#> 209 1231 3401 1092 2 1 1022.24815 1092.0000 0.080551577
#> 210 1232 925 1371 16 1 708.43915 1371.0000 0.591561906
#> 211 1233 1116 633 6 1 576.33821 633.0000 0.088526434
#> 212 1234 920 25 5 1 343.61377 25.0000 -0.657660718
#> 213 1235 14425 8113 11 1 8673.65066 8113.0000 -0.198712557
#> 214 1238 8475 5161 11 1 4269.94202 5161.0000 0.299730779
#> 215 1241 3876 1435 2 1 1131.26910 1435.0000 0.352634715
#> 216 1242 2443 572 3 1 1649.74888 572.0000 -0.726190101
#> 217 1243 19742 2162 8 1 8652.11923 2162.0000 -2.044514570
#> 218 1244 5118 2002 3 1 2139.46813 2002.0000 -0.094486716
#> 219 1245 6975 0 8 1 3242.48154 0.0000 -0.921580322
#> 220 1246 24870 7228 13 1 10557.35002 7228.0000 -0.394437664
#> 221 1247 28380 9927 13 1 13478.13536 9927.0000 -0.419895242
#> 222 1251 4125 4074 3 1 1957.67702 4074.0000 1.452109324
#> 223 1252 381 0 16 1 226.45121 0.0000 -0.216777214
#> 224 1253 7957 846 10 1 2217.48090 846.0000 -1.055626027
#> 225 1256 7812 0 8 1 3597.13547 0.0000 -1.013536638
#> 226 1259 4852 2720 3 1 2090.77081 2720.0000 0.427615859
#> 227 1260 5077 2169 10 1 2317.44062 2169.0000 -0.113097795
#> 228 1263 15607 8647 12 1 10235.69624 8647.0000 -0.413550786
#> 229 1264 2858 4004 2 2 897.61999 4004.0000 3.545627248
#> 230 1265 576 1303 5 1 311.15934 1303.0000 2.299938102
#> 231 1266 1701 1542 6 1 799.06228 1542.0000 1.177835794
#> 232 1401 11923 14126 11 1 6821.87267 14126.0000 2.677127051
#> 233 1411 2370 0 5 1 480.41293 0.0000 -1.120134218
#> 234 1412 785 658 5 1 330.87729 658.0000 0.684078022
#> 235 1413 1395 387 4 1 378.29983 387.0000 0.024248824
#> 236 1416 4161 12094 3 2 1964.26764 12094.0000 6.485230476
#> 237 1417 2689 0 3 1 1694.78474 0.0000 -1.150068779
#> 238 1418 1294 1048 5 1 378.89852 1048.0000 1.395386189
#> 239 1419 2298 2397 2 1 769.09003 2397.0000 1.978550843
#> 240 1420 7839 397 8 1 3608.57592 397.0000 -0.899617338
#> 241 1421 1764 0 16 1 1451.79923 0.0000 -1.385742516
#> 242 1422 2172 0 6 1 978.38370 0.0000 -1.593780972
#> 243 1424 5359 8456 12 1 4927.32562 8456.0000 0.875757033
#> 244 1426 5093 11700 12 1 4789.54004 11700.0000 1.863162691
#> 245 1428 3023 0 1 1 892.14658 0.0000 -0.961451428
#> 246 1429 2830 1079 2 1 891.19349 1079.0000 0.217552508
#> 247 1430 2942 285 2 1 916.89949 285.0000 -0.734783331
#> 248 1431 3020 NA 2 3 934.80187 934.8019 NA
#> 249 1432 12900 5772 8 1 5753.02461 5772.0000 0.005034628
#> 250 1433 2840 94 2 1 893.48867 94.0000 -0.933758639
#> 251 1438 3846 758 6 1 1615.71717 758.0000 -1.685547042
#> 252 1439 6046 1895 11 1 2472.19273 1895.0000 -0.195072811
#> 253 1441 2774 0 1 1 899.27099 0.0000 -0.975780770
#> 254 1443 6015 3038 11 1 2449.24904 3038.0000 0.199015033
#> 255 1444 1200 0 4 1 318.80762 0.0000 -0.929949801
#> 256 1445 5784 8526 11 1 2278.28153 8526.0000 2.217329794
#> 257 1449 7168 2281 10 1 2244.86570 2281.0000 0.026983845
#> 258 1502 26732 24205 13 1 12106.78088 24205.0000 1.462652240
#> 259 1504 46747 22851 13 1 28761.91441 22851.0000 -0.700479844
#> 260 1505 24526 7486 13 1 10271.09641 7486.0000 -0.329869023
#> 261 1511 3256 1064 2 1 988.96807 1064.0000 0.086640279
#> 262 1514 2559 405 1 1 905.42260 405.0000 -0.537137561
#> 263 1515 8972 3423 8 1 4088.65108 3423.0000 -0.180223715
#> 264 1516 8430 5817 11 1 4236.63666 5817.0000 0.532624773
#> 265 1517 5189 1780 10 1 2313.55330 1780.0000 -0.407862986
#> 266 1519 9037 932 11 1 4685.88896 932.0000 -1.283775758
#> 267 1520 10677 3974 10 1 2123.07450 3974.0000 1.474839178
#> 268 1523 2310 3098 1 1 912.54702 3098.0000 2.870154017
#> 269 1524 1652 601 6 1 780.40676 601.0000 -0.279148544
#> 270 1525 4598 461 2 1 1296.98095 461.0000 -0.996627160
#> 271 1526 1020 NA 5 3 353.04819 353.0482 NA
#> 272 1528 7675 3714 7 1 1749.58325 3714.0000 0.686292648
#> 273 1529 4620 3436 1 2 846.45302 3436.0000 2.558147006
#> 274 1531 8952 2024 7 1 2408.07827 2024.0000 -0.131764647
#> 275 1532 8094 2111 11 1 3987.95665 2111.0000 -0.633256919
#> 276 1534 9200 1115 10 1 2174.33856 1115.0000 -0.803280411
#> 277 1535 6611 2432 11 1 2890.36002 2432.0000 -0.154492165
#> 278 1539 7492 3288 11 1 3542.40495 3288.0000 -0.085531201
#> 279 1543 2970 554 2 1 923.32598 554.0000 -0.427804193
#> 280 1545 2088 0 4 1 589.72598 0.0000 -2.081380201
#> 281 1546 1270 0 5 1 376.63425 0.0000 -0.768137103
#> 282 1547 3518 1770 16 1 3005.85594 1770.0000 -1.363403085
#> 283 1548 9717 1287 10 1 2156.39440 1287.0000 -0.655697060
#> 284 1551 3467 2093 1 1 879.44280 2093.0000 1.335203488
#> 285 1554 5826 1862 11 1 2309.36653 1862.0000 -0.151357241
#> 286 1557 2593 1061 2 1 836.79778 1061.0000 0.260696214
#> 287 1560 3103 980 2 1 953.85185 980.0000 0.030205480
#> 288 1563 7160 7244 12 1 5860.22721 7244.0000 0.330375061
#> 289 1566 5969 5687 11 1 2415.20356 5687.0000 1.119852271
#> 290 1567 2036 0 2 1 708.95636 0.0000 -0.841685230
#> 291 1571 1547 958 5 1 402.76761 958.0000 1.152612842
#> 292 1573 2141 1105 6 1 966.58123 1105.0000 0.217608484
#> 293 1576 3536 1765 3 1 1849.84725 1765.0000 -0.055594438
#> 294 1601 187353 77340 14 1 133895.57862 77340.0000 NaN
#> 295 1612 4260 3297 2 1 1219.40394 3297.0000 2.588170026
#> 296 1613 978 NA 5 3 349.08573 349.0857 NA
#> 297 1617 4622 14 3 1 2048.66411 14.0000 -1.415266355
#> 298 1620 4799 3938 3 1 2081.06797 3938.0000 1.294067210
#> 299 1621 5209 5014 8 1 2494.19141 5014.0000 0.736888081
#> 300 1622 1733 1070 4 1 481.41965 1070.0000 1.991890979
#> 301 1624 6644 388 11 1 2914.78395 388.0000 -0.857717146
#> 302 1627 4779 2042 2 1 1338.52367 2042.0000 0.841925038
#> 303 1630 3272 2 2 1 992.64036 2.0000 -1.159383343
#> 304 1632 961 0 5 1 347.48188 0.0000 -0.716074615
#> 305 1633 976 564 5 1 348.89704 564.0000 0.440428769
#> 306 1634 6886 5541 11 1 3093.89277 5541.0000 0.829588622
#> 307 1635 2562 1462 2 1 829.68272 1462.0000 0.739243239
#> 308 1636 3954 0 2 1 1149.17149 0.0000 -1.359072942
#> 309 1638 11779 7918 7 1 3865.84290 7918.0000 1.425987621
#> 310 1640 5635 0 11 1 2168.00378 0.0000 -0.738254073
#> 311 1644 2031 1926 2 1 707.80878 1926.0000 1.467370419
#> 312 1648 6298 5310 10 1 2275.06187 5310.0000 2.775943774
#> 313 1653 16096 12273 7 1 6091.93766 12273.0000 2.328005882
#> 314 1657 7755 1835 7 1 1790.83587 1835.0000 0.015285556
#> 315 1662 6067 2014 11 1 2487.73523 2014.0000 -0.160069546
#> 316 1663 13738 14395 8 1 6108.10226 14395.0000 2.551144274
#> 317 1664 4132 2009 1 1 860.41574 2009.0000 1.278345851
#> 318 1665 851 3413 6 2 475.44612 3413.0000 4.447791640
#> 319 1702 21781 2123 13 1 7986.89249 2123.0000 -0.698972579
#> 320 1703 13010 9687 11 1 7626.38213 9687.0000 0.718088999
#> 321 1711 2523 3978 3 1 1664.39469 3978.0000 1.614414824
#> 322 1714 23308 23850 13 1 9257.55893 23850.0000 1.788186973
#> 323 1717 2631 0 1 1 903.36253 0.0000 -0.985684580
#> 324 1718 3531 1291 4 1 1029.96833 1291.0000 1.255528921
#> 325 1719 19610 25837 8 2 8596.18814 25837.0000 4.240395573
#> 326 1721 14885 3302 8 1 6594.10950 3302.0000 -0.897548325
#> 327 1724 2527 473 2 1 821.64960 473.0000 -0.406311570
#> 328 1725 1622 0 5 1 409.84343 0.0000 -0.845577887
#> 329 1736 2139 0 3 1 1594.09480 0.0000 -1.101754360
#> 330 1738 1375 1379 5 1 386.54040 1379.0000 2.159541938
#> 331 1739 469 297 6 1 330.00921 297.0000 -0.053177090
#> 332 1740 867 0 6 1 481.53771 0.0000 -0.764977336
#> 333 1742 2466 3258 6 1 1090.31682 3258.0000 4.264586767
#> 334 1743 1250 0 5 1 374.74737 0.0000 -0.764358000
#> 335 1744 3825 331 2 1 1119.56370 331.0000 -0.921595218
#> 336 1748 633 85 4 1 145.82258 85.0000 -0.174157406
#> 337 1749 1103 405 5 1 360.87876 405.0000 0.089448704
#> 338 1750 4387 5225 3 1 2005.64205 5225.0000 2.357078577
#> 339 1751 5126 607 11 1 1791.28316 607.0000 -0.403154325
#> 340 1755 562 0 5 1 309.83852 0.0000 -0.667280548
#> 341 1756 6769 132 11 1 3007.29884 132.0000 -0.977744117
#> 342 1804 50488 32268 13 1 31874.92238 32268.0000 0.046416128
#> 343 1805 18787 13906 11 1 11902.05017 13906.0000 0.802902297
#> 344 1811 1465 0 5 1 395.03138 0.0000 -0.808316350
#> 345 1812 2031 1226 3 1 1574.32296 1226.0000 -0.236834479
#> 346 1813 7962 5188 11 1 3890.26092 5188.0000 0.436917801
#> 347 1815 1244 NA 6 3 625.07100 625.0710 NA
#> 348 1816 507 NA 4 3 107.38146 107.3815 NA
#> 349 1818 1743 NA 2 3 641.70765 641.7077 NA
#> 350 1820 7437 5115 12 1 6003.71069 5115.0000 -0.211391220
#> 351 1822 2216 594 2 1 750.26957 594.0000 -0.183239926
#> 352 1824 13427 8888 12 1 9106.47611 8888.0000 -0.053763786
#> 353 1825 1462 22 5 1 394.74835 22.0000 -0.761710227
#> 354 1826 1465 1127 6 1 709.21120 1127.0000 0.653141699
#> 355 1827 1402 NA 5 3 389.08770 389.0877 NA
#> 356 1828 1838 354 6 1 851.22159 354.0000 -0.781327358
#> 357 1832 4486 1770 3 1 2023.76624 1770.0000 -0.169303171
#> 358 1833 26039 20207 13 1 11530.11300 20207.0000 1.037581176
#> 359 1834 1923 NA 4 3 539.38642 539.3864 NA
#> 360 1835 478 NA 5 3 301.91361 301.9136 NA
#> 361 1836 1268 14 5 1 376.44557 14.0000 -0.738655858
#> 362 1837 6471 2027 12 1 5503.33149 2027.0000 -0.851104089
#> 363 1838 2043 744 6 1 929.27019 744.0000 -0.290439089
#> 364 1839 1034 0 6 1 545.11877 0.0000 -0.862611729
#> 365 1840 4700 NA 2 3 1320.39177 1320.3918 NA
#> 366 1841 9604 8214 12 1 7126.19694 8214.0000 0.258234429
#> 367 1845 1963 NA 6 3 898.81220 898.8122 NA
#> 368 1848 2543 2327 3 1 1668.05614 2327.0000 0.439700392
#> 369 1849 1824 NA 6 3 845.89144 845.8914 NA
#> 370 1850 1974 NA 6 3 903.00017 903.0002 NA
#> 371 1851 2144 1529 5 1 459.09113 1529.0000 2.573949999
#> 372 1852 1283 NA 5 3 377.86073 377.8607 NA
#> 373 1853 1400 NA 6 3 684.46408 684.4641 NA
#> 374 1854 2556 NA 2 3 828.30562 828.3056 NA
#> 375 1856 551 22 6 1 361.22865 22.0000 -0.545776990
#> 376 1857 765 0 4 1 186.09423 0.0000 -0.535162480
#> 377 1859 1336 147 5 1 382.86098 147.0000 -0.478051206
#> 378 1860 11198 1959 11 1 6285.28633 1959.0000 -1.505091426
#> 379 1865 9350 2793 11 1 4917.54623 2793.0000 -0.719020615
#> 380 1866 8082 4907 11 1 3979.07522 4907.0000 0.312104589
#> 381 1867 2632 NA 5 3 505.13113 505.1311 NA
#> 382 1868 4529 2105 2 1 1281.14422 2105.0000 0.979568557
#> 383 1870 10214 9559 11 1 5557.00913 9559.0000 1.378234564
#> 384 1871 4980 3177 11 1 1683.22577 3177.0000 0.509601414
#> 385 1874 1062 0 5 1 357.01065 0.0000 -0.731655093
#> 386 1902 73480 31866 13 1 51007.31459 31866.0000 -2.476500670
#> 387 1903 24695 15689 13 1 10411.72682 15689.0000 0.626933889
#> 388 1911 3029 4104 6 2 1304.66494 4104.0000 4.044628386
#> 389 1913 3041 2090 2 1 939.62175 2090.0000 1.353980224
#> 390 1917 1403 891 6 1 685.60626 891.0000 0.319752506
#> 391 1919 1137 0 5 1 364.08647 0.0000 -0.744106717
#> 392 1920 1051 0 6 1 551.59110 0.0000 -0.872609063
#> 393 1922 4019 NA 3 3 1938.27132 1938.2713 NA
#> 394 1923 2230 3622 16 1 1864.67861 3622.0000 1.854535975
#> 395 1924 6741 5510 11 1 2986.57550 5510.0000 0.856256149
#> 396 1925 3452 NA 2 3 1033.95356 1033.9536 NA
#> 397 1926 1158 146 5 1 366.06770 146.0000 -0.446769775
#> 398 1927 1543 0 5 1 402.39024 0.0000 -0.826231242
#> 399 1928 913 0 4 1 231.24729 0.0000 -0.665170274
#> 400 1929 915 225 5 1 343.14204 225.0000 -0.242401893
#> 401 1931 11618 1766 12 1 8169.43059 1766.0000 -1.673764712
#> 402 1933 5701 712 11 1 2216.85164 712.0000 -0.510753196
#> 403 1936 2282 997 6 1 1020.26344 997.0000 -0.036766242
#> 404 1938 2861 591 6 1 1240.70315 591.0000 -1.085648590
#> 405 1939 1865 1061 6 1 861.50116 1061.0000 0.311382052
#> 406 1940 2150 595 6 1 970.00775 595.0000 -0.592298810
#> 407 1941 2920 629 3 1 1737.07452 629.0000 -0.737255545
#> 408 1942 4895 969 3 1 2098.64294 969.0000 -0.775482376
#> 409 1943 1231 0 6 1 620.12158 0.0000 -0.979395732
#> 410 2002 2137 8367 3 2 1593.72866 8367.0000 4.251808201
#> 411 2003 6160 1913 12 1 5342.23632 1913.0000 -0.841611700
#> 412 2004 10455 17871 12 1 7567.00719 17871.0000 3.162197487
#> 413 2011 2956 1708 3 1 1743.66513 1708.0000 -0.023470511
#> 414 2012 20097 14343 12 1 12561.47533 14343.0000 0.577798233
#> 415 2014 951 0 6 1 513.51861 0.0000 -0.813970876
#> 416 2015 1054 24 6 1 552.73327 24.0000 -0.835633792
#> 417 2017 1035 530 6 1 545.49950 530.0000 -0.024269663
#> 418 2018 1215 653 6 1 614.02998 653.0000 0.060743349
#> 419 2019 3276 2742 3 1 1802.24837 2742.0000 0.620609144
#> 420 2020 3978 0 3 1 1930.76535 0.0000 -1.311806523
#> 421 2021 2668 4038 3 1 1690.94022 4038.0000 1.632263344
#> 422 2022 1318 1667 6 1 653.24464 1667.0000 1.636601118
#> 423 2023 1139 1569 6 1 585.09489 1569.0000 1.590710464
#> 424 2024 1000 1048 6 1 532.17413 1048.0000 0.816267391
#> 425 2025 2922 NA 6 3 1263.92737 1263.9274 NA
#> 426 2027 959 NA 16 3 738.56339 738.5634 NA
#> 427 2028 2211 NA 3 3 1607.27603 1607.2760 NA
#> 428 2030 10227 19083 12 2 7448.90526 19083.0000 2.681453724
#> dffits hii leaveOutResid
#> 1 -0.237928635 0.02426213 -12797.361568
#> 2 -0.096753361 0.02305036 -5448.493139
#> 3 -0.054939165 0.03303274 -2593.218994
#> 4 -0.555502211 0.09953783 -14671.605886
#> 5 0.231215954 0.06959646 1343.134344
#> 6 0.175641589 0.03295368 479.525756
#> 7 0.165029213 0.05309222 692.410342
#> 8 -0.058880086 0.12448536 -62.501548
#> 9 -0.019808107 0.09152996 -90.490856
#> 10 0.016887759 0.03320250 278.490779
#> 11 -0.013160761 0.06736750 -195.602610
#> 12 NaN NaN 8439.880725
#> 13 -0.203815181 0.02415408 -1127.753567
#> 14 -0.167384734 0.01923278 -3575.318759
#> 15 -0.007945510 0.07805831 -85.259258
#> 16 -0.021465219 0.05047150 -286.403174
#> 17 -0.303888012 0.21513614 -636.108487
#> 18 -0.009358974 0.25249290 -18.261481
#> 19 0.329019218 0.06746941 3696.504983
#> 20 0.148486895 0.02449816 8068.281268
#> 21 0.260053807 0.11189039 2307.955354
#> 22 0.059381227 0.06859201 873.598931
#> 23 0.398944480 0.10339107 3628.109150
#> 24 0.039926828 0.02802958 2046.658130
#> 25 0.632591864 0.36227958 8955.383048
#> 26 0.341746928 0.04287442 13779.410689
#> 27 -0.545646056 0.05588918 -6353.160903
#> 28 -0.246959187 0.07947690 -2592.578844
#> 29 -0.150873853 0.03507230 -2387.745194
#> 30 0.449752840 0.07916872 4596.105224
#> 31 -0.039384495 0.03730270 -610.898094
#> 32 0.064946842 0.02114915 3826.721535
#> 33 0.160529833 0.02992548 7895.805745
#> 34 0.021949597 0.03346415 1030.207891
#> 35 -0.075811837 0.09845306 -723.660481
#> 36 0.095718354 0.02192435 5526.164060
#> 37 NaN NaN -8396.825809
#> 38 0.081296221 0.03200713 3893.498081
#> 39 0.044947079 0.03334900 737.097556
#> 40 0.064773123 0.02453199 361.057338
#> 41 NaN 1.00000000 NaN
#> 42 0.250696902 0.11370362 2831.914391
#> 43 0.155750928 0.02461868 8434.602745
#> 44 -0.192881871 0.02221541 -10915.871549
#> 45 0.192173689 0.07402404 2099.707846
#> 46 -1.124991761 0.46152383 -2190.179240
#> 47 0.085058123 0.09640918 377.863093
#> 48 0.097796648 0.06886188 1114.633870
#> 49 -0.064284266 0.02883640 -1136.002383
#> 50 0.067307190 0.07280832 218.022462
#> 51 -0.098003965 0.02029694 -2057.522055
#> 52 NaN NaN NA
#> 53 0.012863804 0.03650365 578.143421
#> 54 -0.154913693 0.02546522 -2890.312225
#> 55 -0.350869640 0.05116499 -1326.039232
#> 56 -0.111148514 0.03138622 -546.558816
#> 57 -0.201222765 0.11638564 -910.874819
#> 58 -0.065148253 0.02958153 -246.589719
#> 59 0.074176611 0.04941708 167.628991
#> 60 -0.246029350 0.09240393 -3451.757571
#> 61 0.007327150 0.03820336 32.784161
#> 62 -0.232925047 0.09186098 -668.455435
#> 63 NaN NaN 1386.645586
#> 64 0.157804123 0.02723985 8130.588502
#> 65 -0.137350741 0.02460405 -7457.681437
#> 66 0.077984942 0.02812238 405.827129
#> 67 0.248296152 0.13564569 337.020942
#> 68 0.337677794 0.08647839 1743.807113
#> 69 NaN NaN NA
#> 70 0.112843292 0.02257664 653.134246
#> 71 0.153507070 0.08888139 2221.227654
#> 72 0.103613898 0.03096056 1763.561329
#> 73 -0.160321017 0.01974735 -985.008569
#> 74 0.086403867 0.05305549 327.615256
#> 75 -0.015419783 0.04210076 -225.824095
#> 76 0.180572832 0.02802556 3204.658060
#> 77 -0.427434208 0.17115125 -1390.233581
#> 78 -0.181853823 0.03453266 -2884.902842
#> 79 0.283186724 0.09201952 2758.643923
#> 80 -0.083088420 0.05298385 -1079.726879
#> 81 0.421698746 0.12863954 1567.290492
#> 82 -0.075690848 0.08281294 -362.853259
#> 83 -0.135114814 0.02381646 -2611.165405
#> 84 -0.160326374 0.02066680 -963.434658
#> 85 0.120148685 0.02915123 455.903325
#> 86 0.140197518 0.02600258 2593.310981
#> 87 0.016819541 0.05109337 65.072036
#> 88 -0.161328780 0.01938210 -1000.089258
#> 89 -0.160130523 0.02646667 -633.570308
#> 90 0.306436334 0.06204543 10401.512135
#> 91 -0.252345356 0.02776940 -12693.089595
#> 92 0.025190666 0.02489855 1370.528422
#> 93 -0.059103672 0.13738348 -614.812831
#> 94 0.348258553 0.04156975 820.985372
#> 95 0.114936340 0.01961537 712.916089
#> 96 0.517374635 0.06013225 1771.110256
#> 97 0.115336059 0.03837785 513.143094
#> 98 -0.285566786 0.08439018 -1501.685042
#> 99 -0.148966635 0.06865804 -878.066352
#> 100 -0.158832511 0.02037523 -961.311573
#> 101 -0.249730825 0.10832993 -732.948729
#> 102 0.588445594 0.13176193 2096.327194
#> 103 0.068108254 0.09435078 664.208625
#> 104 -0.101820487 0.03110808 -4939.708654
#> 105 0.201645967 0.02934537 9960.477743
#> 106 -0.067714455 0.03570411 -3073.129530
#> 107 -0.206965501 0.04885456 -2764.873183
#> 108 0.092816800 0.07165269 338.863586
#> 109 -0.100184304 0.02740670 -392.750990
#> 110 0.379288386 0.08666718 822.770978
#> 111 -0.192538541 0.02757827 -9814.581190
#> 112 -0.087362788 0.03801944 -1338.478291
#> 113 0.084602365 0.02139036 4949.420251
#> 114 -0.137085706 0.02317779 -7665.189692
#> 115 -0.222642583 0.02204041 -12574.520205
#> 116 -0.046566405 0.09253259 -458.764392
#> 117 0.058360302 0.05334254 348.624662
#> 118 0.206153974 0.01968474 1258.143307
#> 119 -0.028901636 0.07466466 -407.936753
#> 120 -0.238501844 0.07939398 -1146.626803
#> 121 -0.057336572 0.03421778 -927.675645
#> 122 -0.015688458 0.03548460 -715.127282
#> 123 0.161406444 0.17853522 373.223344
#> 124 -0.311763161 0.08889792 -996.435694
#> 125 -0.122375763 0.02126031 -7152.606294
#> 126 NaN NaN 37917.570376
#> 127 0.232207454 0.07168132 2587.982785
#> 128 -0.299096784 0.10205792 -897.420589
#> 129 -0.009398815 0.05037650 -161.542317
#> 130 -0.059189153 0.03462490 -954.940666
#> 131 0.093321797 0.03676373 424.668676
#> 132 -0.043580896 0.02539473 -821.225657
#> 133 -0.132545337 0.02924029 -2315.608339
#> 134 -0.144498228 0.09736488 -451.479927
#> 135 -0.104827924 0.08477194 -1559.478326
#> 136 -0.190619568 0.04860935 -429.891060
#> 137 0.014912865 0.02158107 88.769892
#> 138 0.486928452 0.03725796 2079.978044
#> 139 -0.006111732 0.03463251 -16.528225
#> 140 0.258892824 0.02909958 959.780952
#> 141 0.136801461 0.08308658 734.329340
#> 142 -0.248422390 0.03661857 -1956.456770
#> 143 -0.055648009 0.02274868 -1107.245184
#> 144 0.001536986 0.03395201 71.629528
#> 145 -0.049084078 0.02226719 -2821.326738
#> 146 -0.184384396 0.03621297 -839.662305
#> 147 0.725231895 0.13685330 1758.233285
#> 148 -0.449872930 0.07798645 -2076.888146
#> 149 NaN NaN 9192.578243
#> 150 -0.106832557 0.03425686 -1728.899012
#> 151 -0.434817057 0.10457317 -1156.974731
#> 152 0.061600618 0.03192460 224.519587
#> 153 NaN NaN NA
#> 154 0.052291788 0.05243798 223.571223
#> 155 0.050208927 0.03299912 180.101176
#> 156 NaN NaN 2428.690450
#> 157 NaN NaN 3376.840707
#> 158 0.823858900 0.14119395 18019.385297
#> 159 0.611545989 0.06608827 8117.485129
#> 160 0.374994491 0.02550486 6698.557257
#> 161 0.113270733 0.02162379 2301.204796
#> 162 0.003393288 0.05207663 57.364493
#> 163 0.194169016 0.07120913 990.683546
#> 164 -0.171310199 0.03549737 -2686.583126
#> 165 NaN NaN 1227.646191
#> 166 0.065299432 0.04750887 195.180734
#> 167 -0.030929362 0.10725296 -35.403258
#> 168 0.050116815 0.08678160 148.743619
#> 169 0.217087020 0.01959655 4551.978418
#> 170 -0.195230244 0.06024675 -396.264627
#> 171 -0.331593685 0.08395885 -4788.557758
#> 172 -0.248794821 0.12693274 -885.438904
#> 173 NaN NaN 3872.956133
#> 174 -0.156577025 0.08408678 -4623.115125
#> 175 NaN 0.74706914 139088.073125
#> 176 0.135082754 0.02102071 7926.272215
#> 177 -0.217993667 0.05011012 -930.475292
#> 178 NaN NaN 4098.015659
#> 179 -0.059935601 0.02481165 -332.290582
#> 180 -1.014827405 0.10267693 -8222.795229
#> 181 -0.044348761 0.11137002 -398.296489
#> 182 -0.164760417 0.13475426 -1723.633359
#> 183 0.010341933 0.04737503 183.294165
#> 184 0.230858139 0.02888026 11439.841019
#> 185 0.442517597 0.05560244 6678.842474
#> 186 0.156657732 0.17699585 486.316607
#> 187 -0.189942494 0.04561491 -3364.766047
#> 188 0.076342886 0.05192006 519.394781
#> 189 0.964625841 0.48233978 1674.904169
#> 190 NaN NaN 5052.225497
#> 191 -0.161350830 0.01937823 -1000.319373
#> 192 0.047340366 0.07982590 146.497776
#> 193 0.078508055 0.14680906 76.690970
#> 194 -0.181406446 0.06813909 -347.074149
#> 195 -0.178181131 0.07002695 -2887.678189
#> 196 -0.212059041 0.02136133 -12183.648844
#> 197 1.026676840 0.21250075 697.499885
#> 198 -0.088188437 0.02035967 -1850.270196
#> 199 NaN 0.90661703 228905.882542
#> 200 -0.057696461 0.07755592 -202.895390
#> 201 -0.039067072 0.03493453 -627.852509
#> 202 -0.546945405 0.05247012 -6809.870077
#> 203 -0.207853362 0.14104875 -2120.471502
#> 204 -0.238237444 0.03802109 -1847.598182
#> 205 -0.134823202 0.02549215 -733.313131
#> 206 -0.790784992 0.08506194 -7640.466092
#> 207 -0.178596981 0.03757576 -594.093011
#> 208 0.039837823 0.06834534 662.166702
#> 209 0.011358605 0.01949625 71.138787
#> 210 0.323889351 0.23063506 861.178901
#> 211 0.017343651 0.03696389 58.836617
#> 212 -0.165505618 0.05955975 -338.792142
#> 213 -0.072616619 0.11781034 -635.521682
#> 214 0.042331017 0.01955589 908.830976
#> 215 0.059379853 0.02757307 312.343155
#> 216 -0.197241080 0.06870397 -1157.257035
#> 217 -0.938290935 0.17397532 -7857.052446
#> 218 -0.035304220 0.12250564 -156.659845
#> 219 -0.357915337 0.13106363 -3731.552350
#> 220 -0.069953983 0.03049429 -3434.069525
#> 221 -0.068963955 0.02626652 -3646.927450
#> 222 0.327411823 0.04837871 2223.913010
#> 223 -0.165639330 0.36862621 -358.664249
#> 224 -0.254799489 0.05505341 -1451.384564
#> 225 -0.352500336 0.10790715 -4032.243364
#> 226 0.139653279 0.09637871 696.341702
#> 227 -0.037215268 0.09769805 -164.513246
#> 228 -0.213636432 0.21065041 -2012.664947
#> 229 NaN NaN 3106.380009
#> 230 0.896317826 0.13185169 1142.478359
#> 231 0.199401540 0.02786220 764.230875
#> 232 0.646797232 0.05515188 7730.477727
#> 233 -0.633539553 0.24236393 -634.094591
#> 234 0.205322828 0.08264221 356.592285
#> 235 0.007376348 0.08469670 9.505237
#> 236 NaN NaN 10129.732364
#> 237 -0.275519027 0.05427744 -1792.052772
#> 238 0.250785347 0.03129026 690.714105
#> 239 0.425390587 0.04418308 1703.160874
#> 240 -0.311763590 0.10722084 -3597.279214
#> 241 -0.533840340 0.12922943 -1667.258038
#> 242 -0.365839518 0.05005226 -1029.934235
#> 243 0.287892146 0.09752735 3910.006995
#> 244 0.635229196 0.10413612 7713.738741
#> 245 -0.233353038 0.05563065 -944.700898
#> 246 0.034617177 0.02469425 192.561674
#> 247 -0.111203704 0.02239159 -646.372797
#> 248 NaN NaN NA
#> 249 0.001099805 0.04554616 19.880893
#> 250 -0.147866376 0.02446320 -819.537171
#> 251 -1.215235582 0.34202020 -1303.561561
#> 252 -0.034185178 0.02979515 -594.918417
#> 253 -0.261525600 0.06701882 -963.868312
#> 254 0.035068195 0.03011449 607.031403
#> 255 -0.281801143 0.08410329 -348.082500
#> 256 0.407321569 0.03264380 6458.550063
#> 257 0.006904356 0.06144658 38.499994
#> 258 0.248709124 0.02810104 12448.021473
#> 259 -0.109488454 0.02384858 -6055.325324
#> 260 -0.058975270 0.03097365 -2874.118347
#> 261 0.012146128 0.01927452 76.506554
#> 262 -0.160315313 0.08179359 -545.000117
#> 263 -0.053806340 0.08183927 -724.983170
#> 264 0.075074024 0.01948018 1611.760733
#> 265 -0.132180414 0.09504566 -589.591404
#> 266 -0.189594409 0.02134530 -3835.764487
#> 267 0.384414209 0.06361561 1976.672746
#> 268 0.981131478 0.10462791 2440.832159
#> 269 -0.046559093 0.02706585 -184.397636
#> 270 -0.254948821 0.06142027 -890.687203
#> 271 NaN NaN NA
#> 272 0.191953454 0.07255407 2118.093018
#> 273 NaN NaN 2589.546979
#> 274 -0.031508582 0.05408914 -406.040662
#> 275 -0.088675691 0.01923161 -1913.761365
#> 276 -0.190184512 0.05307980 -1118.720002
#> 277 -0.024640956 0.02480803 -470.020300
#> 278 -0.012275728 0.02018321 -259.645426
#> 279 -0.064034629 0.02191376 -377.600633
#> 280 -0.889707314 0.15449297 -697.482053
#> 281 -0.138598343 0.03153006 -388.896173
#> 282 -1.009147381 0.35394203 -1912.918036
#> 283 -0.158454436 0.05517636 -920.165808
#> 284 0.308135882 0.05056554 1278.189546
#> 285 -0.027592391 0.03216428 -462.233954
#> 286 0.047116481 0.03163130 231.525682
#> 287 0.004334679 0.02017853 26.686647
#> 288 0.087456312 0.06548673 1480.741718
#> 289 0.198952216 0.03059711 3375.063632
#> 290 -0.210705488 0.05897315 -753.385902
#> 291 0.241027631 0.04189663 579.511988
#> 292 0.048746232 0.04778226 145.364621
#> 293 -0.010528394 0.03462252 -87.890232
#> 294 NaN 0.34631384 -86517.937698
#> 295 0.544174320 0.04233542 2169.440233
#> 296 NaN NaN NA
#> 297 -0.410171351 0.07748666 -2205.566058
#> 298 0.411227360 0.09172116 2044.451495
#> 299 0.359066386 0.19187735 3118.101689
#> 300 0.684219530 0.10554079 658.029276
#> 301 -0.136115772 0.02456557 -2590.419066
#> 302 0.237977512 0.07398489 759.681268
#> 303 -0.162417990 0.01924747 -1010.081875
#> 304 -0.170919760 0.05390191 -367.278915
#> 305 0.103139845 0.05198940 226.899314
#> 306 0.127150028 0.02295214 2504.592996
#> 307 0.136018021 0.03274603 653.724149
#> 308 -0.238912012 0.02997595 -1184.683504
#> 309 0.267272442 0.03393767 4194.508957
#> 310 -0.139375552 0.03441532 -2245.275671
#> 311 0.368381337 0.05928872 1294.968233
#> 312 0.779702838 0.07312378 3274.372642
#> 313 0.579028018 0.05825893 6563.441432
#> 314 0.004232980 0.07122623 47.551007
#> 315 -0.027947277 0.02958153 -488.176232
#> 316 0.574038827 0.04819062 8706.467790
#> 317 0.375708853 0.07951058 1247.797357
#> 318 NaN NaN 2937.553883
#> 319 -0.133538423 0.03521461 -6077.924238
#> 320 0.209687307 0.07856889 2236.323301
#> 321 0.420675021 0.06358183 2470.696725
#> 322 0.329114255 0.03276422 15086.746613
#> 323 -0.283364138 0.07633575 -978.020452
#> 324 1.669866307 0.63884930 722.777701
#> 325 NaN NaN 17240.811856
#> 326 -0.222165865 0.05773160 -3493.812914
#> 327 -0.076299443 0.03406226 -360.944176
#> 328 -0.193275635 0.04965123 -431.255814
#> 329 -0.350601616 0.09195313 -1755.520408
#> 330 0.393118488 0.03207491 1025.347524
#> 331 -0.017162514 0.09433645 -36.447539
#> 332 -0.181264707 0.05316243 -508.574788
#> 333 1.233922834 0.07725126 2349.158637
#> 334 -0.138738044 0.03189481 -387.093649
#> 335 -0.151066361 0.02616616 -809.751791
#> 336 -0.067291880 0.12990038 -69.903006
#> 337 0.018061999 0.03917663 45.920236
#> 338 0.604570680 0.06172701 3431.152760
#> 339 -0.083672153 0.04129562 -1235.295447
#> 340 -0.264440189 0.13573313 -358.498668
#> 341 -0.152324669 0.02369600 -2945.085602
#> 342 0.007792464 0.02741199 404.156355
#> 343 0.527024679 0.30111977 2867.372309
#> 344 -0.155824094 0.03583106 -409.711792
#> 345 -0.079668886 0.10165543 -387.738707
#> 346 0.061271526 0.01928679 1323.260523
#> 347 NaN NaN NA
#> 348 NaN NaN NA
#> 349 NaN NaN NA
#> 350 -0.054591816 0.06252327 -947.981596
#> 351 -0.041344832 0.04844364 -164.225236
#> 352 -0.020465365 0.12655896 -250.132631
#> 353 -0.146469105 0.03565694 -386.530859
#> 354 0.108065490 0.02664588 429.225901
#> 355 NaN NaN NA
#> 356 -0.141142006 0.03160100 -513.447027
#> 357 -0.045705700 0.06792963 -272.260813
#> 358 0.179160089 0.02895203 8935.590504
#> 359 NaN NaN NA
#> 360 NaN NaN NA
#> 361 -0.133343777 0.03155978 -374.257038
#> 362 -0.242575756 0.07512948 -3758.722334
#> 363 -0.060325091 0.04135643 -193.262851
#> 364 -0.179458886 0.04148564 -568.712163
#> 365 NaN NaN NA
#> 366 0.063733457 0.05741523 1154.063900
#> 367 NaN NaN NA
#> 368 0.113400415 0.06236614 702.773104
#> 369 NaN NaN NA
#> 370 NaN NaN NA
#> 371 1.131828531 0.16202816 1276.783789
#> 372 NaN NaN NA
#> 373 NaN NaN NA
#> 374 NaN NaN NA
#> 375 -0.165613652 0.08431555 -370.464572
#> 376 -0.190939566 0.11292287 -209.783594
#> 377 -0.086059042 0.03139013 -243.504616
#> 378 -0.318196213 0.04278332 -4519.652058
#> 379 -0.110368625 0.02301943 -2174.604380
#> 380 0.043706047 0.01923307 946.121605
#> 381 NaN NaN NA
#> 382 0.240969837 0.05706099 873.710566
#> 383 0.243031378 0.03015644 4126.429294
#> 384 0.108683246 0.04350572 1561.717884
#> 385 -0.154433778 0.04265221 -372.916356
#> 386 -0.727571632 0.07945473 -20793.452803
#> 387 0.111642481 0.03073670 5444.622923
#> 388 NaN NaN 2799.335065
#> 389 0.197712310 0.02087756 1174.907456
#> 390 0.053691831 0.02742285 211.185037
#> 391 -0.145388967 0.03677235 -377.985899
#> 392 -0.179236994 0.04048263 -574.863063
#> 393 NaN NaN NA
#> 394 0.720992283 0.13129890 2022.929854
#> 395 0.133939030 0.02388407 2585.168843
#> 396 NaN NaN NA
#> 397 -0.085717810 0.03550382 -228.168554
#> 398 -0.172012610 0.04154228 -419.830971
#> 399 -0.219803668 0.09844557 -256.498421
#> 400 -0.061400598 0.06029284 -125.722192
#> 401 -0.498267223 0.08140652 -6970.907938
#> 402 -0.095261274 0.03361707 -1557.200145
#> 403 -0.009208485 0.05902756 -24.722764
#> 404 -0.419563220 0.12994589 -746.738787
#> 405 0.057161514 0.03260064 206.221803
#> 406 -0.133621263 0.04842954 -394.093523
#> 407 -0.158736107 0.04430324 -1159.441533
#> 408 -0.258912291 0.10029133 -1255.565241
#> 409 -0.177976872 0.03196693 -640.599578
#> 410 NaN NaN 6773.271341
#> 411 -0.249092827 0.08054343 -3729.633832
#> 412 0.828082612 0.06417474 11010.594875
#> 413 -0.004978743 0.04306047 -37.269996
#> 414 0.561906949 0.48605938 3466.401769
#> 415 -0.180511995 0.04687531 -538.773793
#> 416 -0.171258582 0.04030919 -550.941264
#> 417 -0.005045286 0.04142569 -16.169322
#> 418 0.011145129 0.03256815 40.281930
#> 419 0.119424345 0.03570740 974.550287
#> 420 -0.277521024 0.04283880 -2017.178868
#> 421 0.395127743 0.05535577 2484.596526
#> 422 0.283985374 0.02922959 1044.279216
#> 423 0.306685888 0.03583892 1020.477941
#> 424 0.174272037 0.04359458 539.338094
#> 425 NaN NaN NA
#> 426 NaN NaN NA
#> 427 NaN NaN NA
#> 428 NaN NaN 11634.094736
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig
#> 1 13 49 0 1140048.000 0.000000 1102130.430 1140048
#> 2 3 35 3 86052.721 3.275664 64097.492 80875
#> 3 5 40 7 16654.196 8.678507 15267.550 13997
#> 4 1 21 0 21086.000 0.000000 18496.453 21086
#> 5 4 15 2 6657.768 8.166631 5430.122 6011
#> 6 10 21 0 57945.000 0.000000 45632.163 57945
#> 7 11 53 0 219433.000 0.000000 210240.422 219433
#> 8 8 23 0 150654.000 0.000000 133413.188 150654
#> 9 2 60 6 66877.806 3.350851 59673.410 61014
#> 10 7 31 0 125085.000 0.000000 133481.826 125085
#> 11 15 1 0 455113.000 0.000000 455113.000 455113
#> 12 6 47 6 43820.166 3.940172 35654.587 38599
#> 13 12 19 0 140472.000 0.000000 128837.905 140472
#> 14 16 10 1 17943.563 7.433995 14566.723 17205
#> 15 14 3 0 421320.000 0.000000 421320.000 421320
#> coef coefB nModel sigmaHat seEstimate seRobust
#> 1 -10137.78718 0.83213258 48 8493.4218 0.0000 0.0000
#> 2 1202.50248 0.18307262 29 1524.3632 2818.7977 2782.1583
#> 3 256.81705 0.09434425 32 494.8233 1445.3354 1528.1753
#> 4 978.64101 -0.02861212 20 952.8485 0.0000 0.0000
#> 5 -47.29828 0.30508825 12 355.7871 543.7153 632.7236
#> 6 2493.65434 -0.03470824 19 1341.0091 0.0000 0.0000
#> 7 -2002.56734 0.74011910 52 2974.9111 0.0000 0.0000
#> 8 287.03211 0.42372035 22 3760.1749 0.0000 0.0000
#> 9 241.65814 0.22951779 52 865.7626 2240.9758 2271.8790
#> 10 -2208.09044 0.51565781 30 2944.0026 0.0000 0.0000
#> 11 455113.00000 NA 1 NaN 0.0000 NaN
#> 12 151.44923 0.38072489 38 643.1724 1726.5900 2227.1423
#> 13 2151.41245 0.51799089 18 4210.4138 0.0000 0.0000
#> 14 -111.11756 0.88600725 8 1205.7532 1333.9236 1124.3507
#> 15 29778.53782 0.55572657 3 69950.4970 0.0000 0.0000
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 428 25 2969162 0.1510432
#>
w[w[,"Ny.kostragruppe"]>13,"Ny.kostragruppe"]=13 # Combine small strata
ImputeRegression(w, strataName = names(w)[2], method="ratio")
#> $micro
#> id x y strata category123 yHat yImputed rStud
#> 1 101 30544 2792 13 1 18508.52576 2792.0000 -1.866836238
#> 2 104 32182 11319 13 1 19501.09272 11319.0000 -0.926638518
#> 3 105 54678 32854 13 1 33132.83040 32854.0000 -0.024140454
#> 4 106 78967 42362 13 1 47851.05926 42362.0000 -0.397621001
#> 5 111 4511 3278 3 1 2586.87759 3278.0000 0.357803073
#> 6 118 1404 853 5 1 412.01137 853.0000 0.910601411
#> 7 119 3610 1531 1 1 934.16598 1531.0000 0.603405780
#> 8 121 672 103 4 1 209.27495 103.0000 -0.370447412
#> 9 122 5343 2226 10 1 1386.87240 2226.0000 0.641508673
#> 10 123 5736 2512 11 1 2829.39052 2512.0000 -0.130154158
#> 11 124 15615 6721 8 1 6968.96516 6721.0000 -0.060857215
#> 12 125 11396 10538 10 2 2958.03815 10538.0000 3.853000435
#> 13 127 3742 0 2 1 1133.05863 0.0000 -1.227867094
#> 14 128 8084 474 11 1 3987.58594 474.0000 -1.235349648
#> 15 135 7357 1507 7 1 2349.96334 1507.0000 -0.377809874
#> 16 136 15458 5491 7 1 4937.57420 5491.0000 0.172616216
#> 17 137 5186 331 1 1 1341.99025 331.0000 -0.872451561
#> 18 138 5382 811 1 1 1392.70951 811.0000 -0.486576801
#> 19 211 16732 9867 7 1 5344.51361 9867.0000 1.402719513
#> 20 213 30261 22914 13 1 18337.03831 22914.0000 0.531756536
#> 21 214 18992 9635 7 1 6066.39987 9635.0000 1.026571606
#> 22 215 15695 7751 8 1 7004.66911 7751.0000 0.182865388
#> 23 216 18623 10648 7 1 5948.53437 10648.0000 1.383956233
#> 24 217 26792 14146 13 1 16234.95358 14146.0000 -0.257301421
#> 25 219 122348 97383 13 1 74138.32865 97383.0000 1.383303274
#> 26 220 60106 53067 13 1 36421.99612 53067.0000 1.398743408
#> 27 221 15914 0 7 1 5083.22912 0.0000 -1.633022184
#> 28 226 17443 4400 7 1 5571.62031 4400.0000 -0.345456109
#> 29 227 11374 1353 7 1 3633.06824 1353.0000 -0.834005464
#> 30 228 17426 11010 7 1 5566.19019 11010.0000 1.678630517
#> 31 229 10870 2809 7 1 3472.08122 2809.0000 -0.245270412
#> 32 230 36368 23871 13 1 22037.65273 23871.0000 0.194085473
#> 33 231 52522 41227 13 1 31826.37475 41227.0000 0.835088255
#> 34 233 22857 9878 13 1 13850.49022 9878.0000 -0.530378110
#> 35 234 6323 400 7 1 2019.68441 400.0000 -0.788386110
#> 36 235 34189 23717 13 1 20717.25993 23717.0000 0.327604369
#> 37 236 20783 112 7 1 6638.47875 112.0000 -1.870854719
#> 38 237 23811 13445 13 1 14428.57867 13445.0000 -0.128390580
#> 39 238 12267 4830 7 1 3918.30914 4830.0000 0.318256273
#> 40 239 2837 1245 2 1 859.02922 1245.0000 0.473070784
#> 41 301 658390 455113 13 1 398959.80481 455113.0000 1.605283834
#> 42 402 17835 10354 8 1 7959.74983 10354.0000 0.556356896
#> 43 403 30120 23153 13 1 18251.59757 23153.0000 0.570979982
#> 44 412 33597 7146 13 1 20358.52999 7146.0000 -1.481373642
#> 45 415 7588 3649 7 1 2423.74906 3649.0000 0.542290114
#> 46 417 20119 616 10 1 5222.25075 616.0000 -2.088989370
#> 47 418 5131 2657 10 1 1331.84396 2657.0000 1.052529301
#> 48 419 7901 2904 7 1 2523.72711 2904.0000 0.164252768
#> 49 420 6142 1440 11 1 3029.65770 1440.0000 -0.632684675
#> 50 423 4763 1537 2 1 1442.21226 1537.0000 0.089985541
#> 51 425 7456 1500 11 1 3677.81306 1500.0000 -0.789684690
#> 52 426 3760 NA 2 3 1138.50894 1138.5089 NA
#> 53 427 21030 7919 13 1 12743.39631 7919.0000 -0.672291778
#> 54 428 6525 10 11 1 3218.57969 10.0000 -1.253870265
#> 55 429 4429 0 2 1 1341.07875 0.0000 -1.342396895
#> 56 430 2600 309 2 1 787.26682 309.0000 -0.612823142
#> 57 432 1881 742 3 1 1078.67806 742.0000 -0.266203250
#> 58 434 1305 409 6 1 681.48091 409.0000 -0.441279901
#> 59 436 1620 569 5 1 475.39774 569.0000 0.178051559
#> 60 437 5580 1909 12 1 4615.89146 1909.0000 -0.683226127
#> 61 438 2426 830 2 1 734.58050 830.0000 0.126056077
#> 62 439 1592 0 2 1 482.04953 0.0000 -0.788934721
#> 63 441 1956 1828 5 1 573.99875 1828.0000 2.374408823
#> 64 501 27476 20635 13 1 16649.43210 20635.0000 0.485525812
#> 65 502 30137 7666 13 1 18261.89893 7666.0000 -1.246936824
#> 66 511 2701 1256 2 1 817.84911 1256.0000 0.550592857
#> 67 512 2055 742 5 1 603.05084 742.0000 0.236004877
#> 68 513 2204 3199 3 1 1263.90561 3199.0000 1.467250713
#> 69 514 2347 NA 3 3 1345.91037 1345.9104 NA
#> 70 515 3664 1721 2 1 1109.44063 1721.0000 0.662610594
#> 71 516 5741 7149 12 1 4749.07399 7149.0000 0.595565689
#> 72 517 5935 4099 11 1 2927.55103 4099.0000 0.473350576
#> 73 519 3154 0 2 1 955.01521 0.0000 -1.122599533
#> 74 520 4462 1576 2 1 1351.07098 1576.0000 0.220508726
#> 75 521 5072 1535 11 1 2501.85995 1535.0000 -0.421982857
#> 76 522 6227 5721 11 1 3071.58556 5721.0000 1.054727595
#> 77 528 14906 824 10 1 3869.12221 824.0000 -1.503142959
#> 78 529 13180 1803 7 1 4209.93841 1803.0000 -0.819489142
#> 79 532 6629 3715 7 1 2117.42653 3715.0000 0.759185647
#> 80 533 9044 1433 7 1 2888.82268 1433.0000 -0.591888610
#> 81 534 13695 3384 10 1 3554.78523 3384.0000 -0.082620564
#> 82 536 5758 1961 10 1 1494.59316 1961.0000 0.341110840
#> 83 538 6751 445 11 1 3330.05847 445.0000 -1.104929247
#> 84 540 3058 0 2 1 925.94690 0.0000 -1.104636540
#> 85 541 1321 1097 6 1 689.83623 1097.0000 0.657569797
#> 86 542 6458 5303 11 1 3185.53068 5303.0000 0.824465571
#> 87 543 2168 801 2 1 656.45941 801.0000 0.201887327
#> 88 544 3220 0 2 1 974.99968 0.0000 -1.134811832
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#> 387 1903 24695 15689 13 1 14964.24973 15689.0000 0.092903420
#> 388 1911 3029 4104 6 1 1581.76681 4104.0000 3.031509034
#> 389 1913 3041 2090 2 1 920.79939 2090.0000 1.409065606
#> 390 1917 1403 891 6 1 732.65726 891.0000 0.247072495
#> 391 1919 1137 0 5 1 333.65878 0.0000 -0.760058761
#> 392 1920 1051 0 6 1 548.84018 0.0000 -0.998972131
#> 393 1922 4019 NA 3 3 2304.73532 2304.7353 NA
#> 394 1923 2230 3622 13 1 1351.29690 3622.0000 0.972765629
#> 395 1924 6741 5510 11 1 3325.12578 5510.0000 0.833062783
#> 396 1925 3452 NA 2 3 1045.24810 1045.2481 NA
#> 397 1926 1158 146 5 1 339.82135 146.0000 -0.434813422
#> 398 1927 1543 0 5 1 452.80167 0.0000 -0.892908699
#> 399 1928 913 0 4 1 284.32743 0.0000 -0.883175009
#> 400 1929 915 225 5 1 268.51169 225.0000 -0.109175013
#> 401 1931 11618 1766 12 1 9610.64999 1766.0000 -1.463670282
#> 402 1933 5701 712 11 1 2812.12610 712.0000 -0.870183029
#> 403 1936 2282 997 6 1 1191.67773 997.0000 -0.239933518
#> 404 1938 2861 591 6 1 1494.03593 591.0000 -1.011812540
#> 405 1939 1865 1061 6 1 973.91717 1061.0000 0.118235292
#> 406 1940 2150 595 6 1 1122.74633 595.0000 -0.672913105
#> 407 1941 2920 629 3 1 1674.50290 629.0000 -0.671331088
#> 408 1942 4895 969 3 1 2807.08619 969.0000 -0.927082042
#> 409 1943 1231 0 6 1 642.83755 0.0000 -1.085311028
#> 410 2002 2137 8367 3 2 1225.48380 8367.0000 5.282984755
#> 411 2003 6160 1913 12 1 5095.67946 1913.0000 -0.768630401
#> 412 2004 10455 17871 12 1 8648.59233 17871.0000 1.870167053
#> 413 2011 2956 1708 3 1 1695.14745 1708.0000 0.008138596
#> 414 2012 20097 14343 12 1 16624.65423 14343.0000 -0.314462192
#> 415 2014 951 0 6 1 496.61942 0.0000 -0.948240001
#> 416 2015 1054 24 6 1 550.40681 24.0000 -0.955734501
#> 417 2017 1035 530 6 1 540.48486 530.0000 -0.018974347
#> 418 2018 1215 653 6 1 634.48223 653.0000 0.030976007
#> 419 2019 3276 2742 3 1 1878.65462 2742.0000 0.522651781
#> 420 2020 3978 0 3 1 2281.22346 0.0000 -1.288026944
#> 421 2021 2668 4038 3 1 1529.99100 4038.0000 1.759144864
#> 422 2022 1318 1667 6 1 688.26961 1667.0000 1.628659626
#> 423 2023 1139 1569 6 1 594.79445 1569.0000 1.750282136
#> 424 2024 1000 1048 6 1 522.20760 1048.0000 0.980230076
#> 425 2025 2922 NA 6 3 1525.89060 1525.8906 NA
#> 426 2027 959 NA 13 3 581.11826 581.1183 NA
#> 427 2028 2211 NA 3 3 1267.91983 1267.9198 NA
#> 428 2030 10227 19083 12 1 8459.98601 19083.0000 2.260493537
#> dffits hii leaveOutResid
#> 1 -0.1891011964 0.0101564669 -15877.78799
#> 2 -0.0963743545 0.0107011334 -8270.59749
#> 3 -0.0032850690 0.0181814857 -283.99383
#> 4 -0.0652947956 0.0262580449 -5637.07791
#> 5 0.0756774021 0.0428191742 722.03955
#> 6 0.1667817690 0.0324571746 455.78202
#> 7 0.1412246394 0.0519327320 629.52708
#> 8 -0.0740410191 0.0384131702 -110.52039
#> 9 0.1113645266 0.0292545910 864.41573
#> 10 -0.0152811830 0.0135972824 -321.76566
#> 11 -0.0147990911 0.0558334615 -262.62862
#> 12 NaN NaN 7579.96185
#> 13 -0.1833900933 0.0218206416 -1158.33423
#> 14 -0.1726736911 0.0191632551 -3582.23319
#> 15 -0.0522780729 0.0187869316 -859.10326
#> 16 0.0349929997 0.0394737514 576.16937
#> 17 -0.2477199201 0.0746047502 -1092.49561
#> 18 -0.1409578411 0.0774243667 -630.52772
#> 19 0.2963496531 0.0427270545 4724.34368
#> 20 0.0536116200 0.0100623640 4623.48488
#> 21 0.2317647300 0.0484982201 3750.49234
#> 22 0.0445892277 0.0561195119 790.70486
#> 23 0.3092466385 0.0475559369 4934.11195
#> 24 -0.0243947475 0.0089088548 -2107.73105
#> 25 0.2848676672 0.0406830610 24230.43981
#> 26 0.1997511501 0.0199864000 16984.46213
#> 27 -0.3360996806 0.0406381990 -5298.55276
#> 28 -0.0745891004 0.0445426734 -1226.24033
#> 29 -0.1442458941 0.0290447955 -2348.27336
#> 30 0.3622563484 0.0444992620 5697.33711
#> 31 -0.0414429100 0.0277577745 -682.01237
#> 32 0.0214735128 0.0120930588 1855.78944
#> 33 0.1113364239 0.0174645742 9567.72144
#> 34 -0.0464152065 0.0076003917 -4002.91394
#> 35 -0.1009980262 0.0161464957 -1646.26584
#> 36 0.0351304761 0.0113684995 3034.23476
#> 37 -0.4429076620 0.0530717412 -6892.26316
#> 38 -0.0114698169 0.0079176150 -991.42842
#> 39 0.0572314431 0.0313251720 941.17328
#> 40 0.0613564250 0.0165433351 392.46343
#> 41 0.8498770398 0.2189273263 71892.40780
#> 42 0.1452029211 0.0637713599 2557.33489
#> 43 0.0574304921 0.0100154788 4950.98896
#> 44 -0.1574572931 0.0111716481 -13361.80336
#> 45 0.0762292803 0.0193768163 1249.46152
#> 46 -0.7350000265 0.1101577985 -5176.48044
#> 47 0.1789482519 0.0280938249 1363.46087
#> 48 0.0235698741 0.0201760972 388.10330
#> 49 -0.0769039332 0.0145597121 -1613.14462
#> 50 0.0152093747 0.0277743762 97.49562
#> 51 -0.1059254854 0.0176745708 -2216.99754
#> 52 NaN NaN NA
#> 53 -0.0564169532 0.0069928791 -4858.37030
#> 54 -0.1571626515 0.0154676199 -3258.98849
#> 55 -0.2185735170 0.0258267294 -1376.63267
#> 56 -0.0760363303 0.0151613223 -485.62961
#> 57 -0.0358924104 0.0178547698 -342.79865
#> 58 -0.0649561359 0.0212081322 -278.38494
#> 59 0.0351207331 0.0374505860 97.24411
#> 60 -0.1259368059 0.0328598686 -2798.86168
#> 61 0.0151002765 0.0141466800 96.78874
#> 62 -0.0763694646 0.0092833943 -486.56652
#> 63 0.5167251964 0.0452181150 1313.39028
#> 64 0.0466219560 0.0091362980 4022.31699
#> 65 -0.1254555477 0.0100211316 -10703.15667
#> 66 0.0696501541 0.0157502814 445.16232
#> 67 0.0527069325 0.0475067619 145.87942
#> 68 0.2144785816 0.0209207404 1976.44304
#> 69 NaN NaN NA
#> 70 0.0979056556 0.0213658019 624.91110
#> 71 0.1114057305 0.0338079759 2483.90170
#> 72 0.0565446476 0.0140690152 1188.16528
#> 73 -0.1536627106 0.0183918502 -972.90881
#> 74 0.0360410324 0.0260191616 230.93782
#> 75 -0.0465513798 0.0120232595 -978.62623
#> 76 0.1291012590 0.0147612060 2689.10894
#> 77 -0.4480978733 0.0816149980 -3315.73600
#> 78 -0.1529370542 0.0336566208 -2490.76928
#> 79 0.0996223685 0.0169279013 1625.08271
#> 80 -0.0910063331 0.0230948769 -1490.23958
#> 81 -0.0235233447 0.0749843954 -184.62957
#> 82 0.0615448880 0.0315268455 481.58985
#> 83 -0.1409104503 0.0160033567 -2931.97999
#> 84 -0.1488425603 0.0178320475 -942.75821
#> 85 0.0973983814 0.0214681553 416.09659
#> 86 0.1027999737 0.0153087953 2150.38919
#> 87 0.0228445856 0.0126422103 146.39130
#> 88 -0.1569819554 0.0187767145 -993.65730
#> 89 -0.1672439962 0.0258397933 -708.62069
#> 90 0.1793262806 0.0225763921 15320.03117
#> 91 -0.1980607418 0.0089823416 -16517.23479
#> 92 -0.0240943812 0.0099094051 -2081.92610
#> 93 -0.0228840645 0.0241962878 -405.93005
#> 94 0.3281025643 0.0248283515 850.95676
#> 95 0.1104529535 0.0199546327 703.88144
#> 96 0.2577739437 0.0266955898 1613.88851
#> 97 0.0887131520 0.0141233549 565.61912
#> 98 -0.2243899608 0.0447176080 -2105.73291
#> 99 -0.1511073023 0.0426862838 -1431.97483
#> 100 -0.1541918368 0.0204794477 -977.43309
#> 101 -0.0758309745 0.0327276912 -339.82748
#> 102 0.0350849113 0.0755264512 275.31077
#> 103 0.1258580493 0.0464885266 2061.83429
#> 104 -0.1110161134 0.0081237770 -9475.25039
#> 105 0.0626633637 0.0085560519 5396.14255
#> 106 -0.0970826801 0.0071465030 -8299.66467
#> 107 -0.1906903802 0.0240371602 -3064.34637
#> 108 0.1207907103 0.0388272697 538.48289
#> 109 -0.1028346522 0.0228170250 -439.20072
#> 110 0.1324041640 0.0414086750 565.84598
#> 111 -0.1618551921 0.0090372072 -13658.28798
#> 112 -0.0870239163 0.0274283584 -1427.01694
#> 113 0.0501413691 0.0140575824 4328.16294
#> 114 -0.0856521486 0.0152360305 -7374.57170
#> 115 -0.1487751219 0.0145866204 -12699.00281
#> 116 -0.0825835631 0.0168640610 -1351.22826
#> 117 0.0117844104 0.0509039740 92.50413
#> 118 0.2018147789 0.0184443317 1266.62162
#> 119 -0.0175981465 0.0334714718 -312.26052
#> 120 -0.0407474022 0.0325069263 -319.43986
#> 121 -0.0511572098 0.0297674680 -841.51346
#> 122 -0.0695761785 0.0071893980 -5980.51660
#> 123 -0.0343056907 0.0715118035 -154.39542
#> 124 -0.1499088404 0.0355904651 -663.82721
#> 125 -0.1062857817 0.0119557284 -9115.37102
#> 126 NaN NaN 39982.09854
#> 127 0.1749709717 0.0301458579 3649.10455
#> 128 -0.1157222697 0.0335908391 -515.54976
#> 129 -0.0109456291 0.0503734745 -194.25107
#> 130 -0.0149110734 0.0251440681 -313.99862
#> 131 0.0556374325 0.0241181650 356.23182
#> 132 -0.0575159568 0.0154889546 -1208.74125
#> 133 -0.1338321259 0.0144625209 -2784.70756
#> 134 -0.1617644008 0.0624055932 -720.51604
#> 135 -0.0512923198 0.0349798601 -1153.02351
#> 136 -0.1799364117 0.0372887625 -491.67760
#> 137 0.0173614836 0.0174413519 111.28126
#> 138 0.3538688594 0.0142749681 2094.65920
#> 139 -0.0173504923 0.0333587627 -48.05933
#> 140 0.2193432533 0.0215006582 915.80987
#> 141 0.1077551253 0.0213194115 1020.77132
#> 142 -0.2380011139 0.0353773137 -2215.66946
#> 143 -0.0666240531 0.0164039739 -1399.37625
#> 144 -0.0581288827 0.0074983083 -5005.99617
#> 145 -0.0337641889 0.0147349240 -2917.00856
#> 146 -0.1196690368 0.0144207500 -759.76829
#> 147 0.5432256171 0.0292894854 1968.80605
#> 148 -0.1601343659 0.0329285253 -1231.59728
#> 149 NaN NaN 8576.81522
#> 150 -0.0517444343 0.0250729526 -1088.59976
#> 151 -0.1905907607 0.0300135869 -1207.73394
#> 152 0.0257949345 0.0300164140 110.80865
#> 153 NaN NaN NA
#> 154 0.0377468428 0.0515299297 169.83101
#> 155 0.0368877091 0.0195667365 158.36066
#> 156 NaN NaN 2404.41817
#> 157 0.0428582439 0.0003142307 3531.47491
#> 158 0.3101711872 0.0294103270 26109.29698
#> 159 0.4925695685 0.0555259573 7959.36812
#> 160 0.3537922879 0.0230058623 7083.79393
#> 161 0.1218577460 0.0215622178 2549.19215
#> 162 0.0010895636 0.0511601131 19.33747
#> 163 0.2078407904 0.0351460266 1580.37626
#> 164 -0.1643801463 0.0287536836 -2666.32106
#> 165 1.3004848043 0.1309020236 1341.44344
#> 166 0.0483299043 0.0153088587 207.25326
#> 167 -0.0666637678 0.1000342975 -99.98920
#> 168 0.0024549895 0.0288240062 15.73829
#> 169 0.2262999598 0.0201422784 4651.38346
#> 170 -0.1728288805 0.0393462330 -473.07479
#> 171 -0.1935242036 0.0352213036 -4233.72424
#> 172 -0.0042966516 0.0006091752 -371.34995
#> 173 0.2798328519 0.0818121092 2145.02212
#> 174 0.0302570771 0.0248790877 2614.92515
#> 175 NaN NaN 58294.67904
#> 176 0.0702614349 0.0122869175 6053.44923
#> 177 -0.2045268777 0.0476601499 -900.21517
#> 178 NaN NaN 4102.03604
#> 179 -0.0459561807 0.0164733598 -294.24285
#> 180 -0.3987057862 0.0474742213 -6234.28058
#> 181 0.0741777012 0.0484420406 1219.71272
#> 182 -0.0983250440 0.0664065992 -1739.16449
#> 183 0.0114162555 0.0423819416 202.59976
#> 184 0.0807205731 0.0086774214 6933.96542
#> 185 0.4093988327 0.0383915386 6605.68576
#> 186 0.0073661041 0.0004116588 636.07998
#> 187 -0.1927765785 0.0445666515 -3355.20604
#> 188 0.0674598877 0.0259800664 643.14933
#> 189 0.0214804097 0.0012978225 1851.33014
#> 190 0.5332826689 0.0447081158 4622.67498
#> 191 -0.1570322808 0.0187825458 -993.97179
#> 192 0.0033114725 0.0283166850 21.22895
#> 193 0.0101639514 0.0299531268 15.27283
#> 194 -0.0885342586 0.0199967635 -243.71237
#> 195 -0.1884114029 0.0643358538 -4181.39999
#> 196 -0.1488391155 0.0140279881 -12697.87553
#> 197 NaN NaN 500.71579
#> 198 -0.0800535053 0.0208320987 -1680.86316
#> 199 0.4835940229 0.0922378377 41001.25852
#> 200 -0.0920494674 0.0590680880 -412.90636
#> 201 -0.0592404047 0.0132582986 -1244.35104
#> 202 -0.2781982824 0.0279199429 -5707.06217
#> 203 -0.1188575170 0.0671324521 -2099.19540
#> 204 -0.1984778415 0.0298054105 -1855.98239
#> 205 -0.1082574787 0.0163100840 -689.15764
#> 206 -0.2873253598 0.0314591240 -5902.87097
#> 207 -0.1385446320 0.0179415923 -587.04979
#> 208 0.0289578601 0.0408098368 651.96729
#> 209 0.0098983594 0.0198321758 63.45285
#> 210 0.0094012270 0.0003075803 810.73384
#> 211 0.0119034670 0.0181366096 51.14390
#> 212 -0.0909227102 0.0212682340 -250.30245
#> 213 0.0490799440 0.0341947000 1032.91611
#> 214 0.0475668393 0.0200901270 1000.64908
#> 215 0.0417442987 0.0226020328 267.41088
#> 216 -0.0892744665 0.0231893688 -848.64200
#> 217 -0.4265361098 0.0705900862 -7153.83244
#> 218 -0.1029229856 0.0485809207 -980.60651
#> 219 -0.1858579128 0.0249400188 -3192.56086
#> 220 -0.0922725212 0.0082697529 -7907.68783
#> 221 -0.0854574925 0.0094368953 -7339.48435
#> 222 0.1888218045 0.0391551970 1778.09978
#> 223 -0.0026722078 0.0001266898 -230.90105
#> 224 -0.1650825990 0.0435670561 -1274.92830
#> 225 -0.2096775009 0.0279328211 -3586.67693
#> 226 -0.0068434425 0.0460560038 -65.44138
#> 227 0.1128987088 0.0277981581 875.51029
#> 228 -0.2110914304 0.0919075213 -4694.93298
#> 229 NaN NaN 3138.61209
#> 230 NaN NaN 1133.96969
#> 231 0.1583133020 0.0276437034 672.31002
#> 232 0.4274356604 0.0282636678 8484.55945
#> 233 -0.2711598294 0.0547888203 -735.80307
#> 234 0.1608431600 0.0181473519 435.54144
#> 235 -0.0343186629 0.0797416257 -51.54246
#> 236 NaN NaN 9707.83337
#> 237 -0.1686554014 0.0255244423 -1582.42415
#> 238 0.2574149736 0.0299142335 688.87591
#> 239 0.2845501083 0.0134002764 1724.28312
#> 240 -0.1850556410 0.0280293631 -3190.98221
#> 241 -0.0123997039 0.0005865639 -1069.54562
#> 242 -0.2815124782 0.0352981327 -1175.73619
#> 243 0.1903323001 0.0315584293 4154.01862
#> 244 0.3887793172 0.0299919911 7718.45691
#> 245 -0.1854163024 0.0434882684 -817.83312
#> 246 0.0352507929 0.0165025162 225.81689
#> 247 -0.0966639042 0.0171556193 -616.39737
#> 248 NaN NaN NA
#> 249 0.0008705465 0.0461256262 15.45038
#> 250 -0.1225680319 0.0165608290 -778.83577
#> 251 -0.3166420413 0.0625030471 -1333.77544
#> 252 -0.0524789449 0.0143321425 -1103.11387
#> 253 -0.1692044046 0.0399062046 -747.66946
#> 254 0.0034195258 0.0142586565 72.01428
#> 255 -0.2809074359 0.0685949468 -401.22745
#> 256 0.2890665822 0.0137110672 5751.79583
#> 257 0.0558601799 0.0392470351 437.58991
#> 258 0.0942376665 0.0088889037 8078.21062
#> 259 -0.0644881246 0.0155442758 -5562.40349
#> 260 -0.0866955890 0.0081553663 -7436.48932
#> 261 0.0124193868 0.0189866405 79.61125
#> 262 -0.0594587451 0.0368132580 -267.02702
#> 263 -0.0338620419 0.0320805518 -600.46136
#> 264 0.0806249607 0.0199834538 1692.56634
#> 265 0.0569582503 0.0284113930 445.76592
#> 266 -0.1734105448 0.0214223573 -3602.85282
#> 267 0.1646645246 0.0584599043 1277.25980
#> 268 NaN NaN 2500.23728
#> 269 -0.0627004184 0.0268473827 -268.90638
#> 270 -0.1504880706 0.0268122154 -956.90792
#> 271 NaN NaN NA
#> 272 0.0785820142 0.0195989806 1287.69910
#> 273 0.6042078009 0.0664623883 2399.98317
#> 274 -0.0520029880 0.0228599445 -854.98098
#> 275 -0.0914778419 0.0191869603 -1918.32546
#> 276 -0.1734343547 0.0503728687 -1340.55415
#> 277 -0.0400308961 0.0156714843 -842.19933
#> 278 -0.0197070826 0.0177599094 -414.94003
#> 279 -0.0549057525 0.0173188951 -351.38657
#> 280 -0.5419230056 0.1193552075 -738.37622
#> 281 -0.1400891493 0.0293594100 -383.96123
#> 282 -0.0041902381 0.0011698026 -362.20060
#> 283 -0.1685063061 0.0532036049 -1304.63456
#> 284 0.2918660096 0.0498755628 1258.61238
#> 285 -0.0487987588 0.0138106289 -1025.95379
#> 286 0.0437447500 0.0151205034 280.08781
#> 287 0.0064225298 0.0180944550 41.17232
#> 288 0.0613796096 0.0421642758 1379.25515
#> 289 0.1337374896 0.0141496128 2782.04265
#> 290 -0.0980968797 0.0118724816 -623.89769
#> 291 0.1917787023 0.0357629979 522.71848
#> 292 -0.0031456410 0.0347943380 -13.51677
#> 293 -0.0284427711 0.0335643094 -271.87964
#> 294 -0.4584331720 0.0622984726 -38593.23586
#> 295 0.3348949609 0.0248412435 2058.22240
#> 296 NaN NaN NA
#> 297 -0.2981677754 0.0438728049 -2757.51140
#> 298 0.1307663404 0.0455529188 1242.56859
#> 299 0.1594887993 0.0186254563 2740.26510
#> 300 0.4222107122 0.0990625357 588.61722
#> 301 -0.1411126276 0.0157497114 -2935.51216
#> 302 0.0957692656 0.0278676766 611.99798
#> 303 -0.1592696248 0.0190799410 -1007.97716
#> 304 -0.1049480197 0.0222160575 -288.41815
#> 305 0.1033005342 0.0225628222 283.99527
#> 306 0.1041860352 0.0163233764 2179.93411
#> 307 0.1095246941 0.0149397337 696.64711
#> 308 -0.1941949829 0.0230568725 -1225.50753
#> 309 0.2704459775 0.0300790088 4284.43886
#> 310 -0.1355748793 0.0133578603 -2817.20215
#> 311 0.2147722461 0.0118433252 1326.73647
#> 312 0.6088409717 0.0344835138 3806.50161
#> 313 0.4937567377 0.0411029566 7437.33305
#> 314 -0.0398179435 0.0198032696 -655.06440
#> 315 -0.0472205095 0.0143819234 -992.94296
#> 316 0.5587854426 0.0491220041 8690.64050
#> 317 0.2268747660 0.0594421187 999.14656
#> 318 NaN NaN 2968.60134
#> 319 -0.1316654055 0.0072426010 -11156.27477
#> 320 0.1614990552 0.0308404192 3373.61507
#> 321 0.2869764655 0.0239487423 2593.26615
#> 322 0.1150291587 0.0077503579 9802.19107
#> 323 -0.1599748623 0.0378490354 -707.61084
#> 324 0.1603452953 0.2018406311 239.76696
#> 325 NaN NaN 17085.06873
#> 326 -0.2024310013 0.0532232516 -3528.99097
#> 327 -0.0463217967 0.0147356390 -296.53239
#> 328 -0.1809941277 0.0374968213 -494.52787
#> 329 -0.1329072053 0.0203037494 -1252.05207
#> 330 0.3908782066 0.0317867628 1007.52478
#> 331 0.0122174658 0.0076219264 52.48467
#> 332 -0.1080441598 0.0140900005 -459.22446
#> 333 0.5173923046 0.0400760568 2052.49185
#> 334 -0.1377932121 0.0288970571 -377.73466
#> 335 -0.1329947291 0.0223046376 -846.06171
#> 336 -0.0780351082 0.0361838345 -116.33913
#> 337 0.0301390865 0.0254987632 83.44648
#> 338 0.3068450718 0.0416421452 2826.95177
#> 339 -0.0930091875 0.0121512674 -1945.13230
#> 340 -0.0605952315 0.0129921169 -167.09282
#> 341 -0.1570845071 0.0160460259 -3259.23508
#> 342 0.0197000208 0.0167882301 1702.73944
#> 343 0.2332162264 0.0445348928 4855.18183
#> 344 -0.1626326488 0.0338673509 -444.98253
#> 345 0.0065368306 0.0192785952 62.50802
#> 346 0.0611273745 0.0188740521 1284.84307
#> 347 NaN NaN NA
#> 348 NaN NaN NA
#> 349 NaN NaN NA
#> 350 -0.0482148969 0.0437954915 -1084.53816
#> 351 -0.0121686731 0.0129221116 -78.00151
#> 352 -0.1073857206 0.0790697948 -2409.62041
#> 353 -0.1537693280 0.0337979980 -421.26986
#> 354 0.0866495687 0.0238083630 370.79387
#> 355 NaN NaN NA
#> 356 -0.1466932272 0.0298701510 -624.47059
#> 357 -0.0879273942 0.0425818700 -838.23469
#> 358 0.0518081665 0.0086584679 4467.01385
#> 359 NaN NaN NA
#> 360 NaN NaN NA
#> 361 -0.1344901735 0.0293131747 -368.91553
#> 362 -0.1562461448 0.0381068476 -3457.70742
#> 363 -0.0779042757 0.0332016967 -333.95809
#> 364 -0.1294914510 0.0168039914 -549.19126
#> 365 NaN NaN NA
#> 366 0.0126753713 0.0565566627 285.52057
#> 367 NaN NaN NA
#> 368 0.0936754939 0.0241385857 890.17915
#> 369 NaN NaN NA
#> 370 NaN NaN NA
#> 371 0.3552689752 0.0495642324 946.75691
#> 372 NaN NaN NA
#> 373 NaN NaN NA
#> 374 NaN NaN NA
#> 375 -0.0627676881 0.0089545447 -268.13743
#> 376 -0.1709841480 0.0437292786 -249.13145
#> 377 -0.0916774028 0.0308851747 -252.86622
#> 378 -0.1758372953 0.0265450434 -3661.82875
#> 379 -0.0886392598 0.0221643289 -1860.29661
#> 380 0.0446029602 0.0191585141 938.37854
#> 381 NaN NaN NA
#> 382 0.1181469017 0.0264098572 753.54271
#> 383 0.2244083460 0.0242124552 4632.92577
#> 384 0.0346564338 0.0118051720 729.12827
#> 385 -0.1163568791 0.0245509397 -319.49349
#> 386 -0.1512899000 0.0244335120 -12977.22082
#> 387 0.0084534710 0.0082115620 730.75088
#> 388 0.6897881405 0.0492256188 2652.81989
#> 389 0.1893243589 0.0177329158 1190.30825
#> 390 0.0377404987 0.0228007736 162.03732
#> 391 -0.1248772196 0.0262847632 -342.66567
#> 392 -0.1316866223 0.0170802659 -558.37742
#> 393 NaN NaN NA
#> 394 0.0264990376 0.0007415179 2272.38812
#> 395 0.1061596175 0.0159796515 2220.35471
#> 396 NaN NaN NA
#> 397 -0.0721142898 0.0267702337 -199.15271
#> 398 -0.1717311580 0.0356705273 -469.55080
#> 399 -0.2072415351 0.0521893221 -299.98335
#> 400 -0.0160490052 0.0211526458 -44.45196
#> 401 -0.3966559172 0.0684168374 -8420.77262
#> 402 -0.1018502792 0.0135143144 -2128.89668
#> 403 -0.0470869869 0.0370857914 -202.17558
#> 404 -0.2234310570 0.0464953765 -947.07032
#> 405 0.0209033459 0.0303089399 89.80472
#> 406 -0.1280404374 0.0349406010 -546.85373
#> 407 -0.1133481924 0.0277171334 -1075.30733
#> 408 -0.2046485810 0.0464641671 -1927.65298
#> 409 -0.1550662857 0.0200055255 -655.96038
#> 410 NaN NaN 7141.51620
#> 411 -0.1491239008 0.0362754105 -3302.47821
#> 412 0.4790235309 0.0615680871 9827.46595
#> 413 0.0013828161 0.0280588514 13.22359
#> 414 -0.1152129765 0.1183485266 -2587.93219
#> 415 -0.1188055494 0.0154551216 -504.41522
#> 416 -0.1261697575 0.0171290202 -535.58078
#> 417 -0.0024817985 0.0168202428 -10.66424
#> 418 0.0043963283 0.0197455024 18.89078
#> 419 0.0936325420 0.0310963455 891.05390
#> 420 -0.2551516199 0.0377598481 -2370.74234
#> 421 0.2835615606 0.0253251068 2573.17493
#> 422 0.2409548600 0.0214194010 1000.15307
#> 423 0.2403659937 0.0185103928 992.57857
#> 424 0.1259887957 0.0162514423 534.47845
#> 425 NaN NaN NA
#> 426 NaN NaN NA
#> 427 NaN NaN NA
#> 428 0.5722441528 0.0602254258 11303.78953
#>
#> $aggregates
#> strata N nImputed estimate cv estimateYHat estimateOrig
#> 1 13 63 1 2034267.118 0.07525468 1935990.341 2033686
#> 2 3 35 3 85793.566 3.24980390 68944.216 80875
#> 3 5 40 7 16670.379 8.25458104 15536.409 13997
#> 4 1 21 0 21086.000 0.00000000 18585.763 21086
#> 5 4 15 2 6767.753 8.42153244 6267.037 6011
#> 6 10 21 0 57945.000 0.00000000 50365.038 57945
#> 7 11 53 0 219433.000 0.00000000 210856.185 219433
#> 8 8 23 0 150654.000 0.00000000 133568.931 150654
#> 9 2 60 6 66837.049 3.35393273 59596.401 61014
#> 10 7 31 0 125085.000 0.00000000 125085.000 125085
#> 11 6 47 6 44514.045 4.44704297 39141.026 38599
#> 12 12 19 0 140472.000 0.00000000 140472.000 140472
#> coef coefB nModel sigmaHat seEstimate seRobust
#> 1 0.6059627 0 60 49.42685 1530.8812 2035.0264
#> 2 0.5734599 0 30 28.94997 2788.1226 2884.0368
#> 3 0.2934554 0 32 13.10330 1376.0699 1468.5026
#> 4 0.2587717 0 20 16.62183 0.0000 0.0000
#> 5 0.3114211 0 12 10.83400 569.9485 700.3329
#> 6 0.2595681 0 20 17.87921 0.0000 0.0000
#> 7 0.4932689 0 52 32.10537 0.0000 0.0000
#> 8 0.4462994 0 22 32.75132 0.0000 0.0000
#> 9 0.3027949 0 52 15.32818 2241.6697 2211.9606
#> 10 0.3194187 0 31 25.88260 0.0000 0.0000
#> 11 0.5222076 0 39 17.09308 1979.5587 2264.2091
#> 12 0.8272207 0 19 53.12696 0.0000 0.0000
#>
#> $total
#> Ntotal nImputedTotal estimateTotal cvTotal
#> 1 428 25 2969525 0.1553433
#>
ImputeRegressionTallSmall(w, strataName = names(w)[2], method="ratio")
#> ID estimate nImputed cv
#> 1 101 2792.0000 0 NA
#> 2 104 11319.0000 0 NA
#> 3 105 32854.0000 0 NA
#> 4 106 42362.0000 0 NA
#> 5 111 3278.0000 0 NA
#> 6 118 853.0000 0 NA
#> 7 119 1531.0000 0 NA
#> 8 121 103.0000 0 NA
#> 9 122 2226.0000 0 NA
#> 10 123 2512.0000 0 NA
#> 11 124 6721.0000 0 NA
#> 12 125 10538.0000 0 NA
#> 13 127 0.0000 0 NA
#> 14 128 474.0000 0 NA
#> 15 135 1507.0000 0 NA
#> 16 136 5491.0000 0 NA
#> 17 137 331.0000 0 NA
#> 18 138 811.0000 0 NA
#> 19 211 9867.0000 0 NA
#> 20 213 22914.0000 0 NA
#> 21 214 9635.0000 0 NA
#> 22 215 7751.0000 0 NA
#> 23 216 10648.0000 0 NA
#> 24 217 14146.0000 0 NA
#> 25 219 97383.0000 0 NA
#> 26 220 53067.0000 0 NA
#> 27 221 0.0000 0 NA
#> 28 226 4400.0000 0 NA
#> 29 227 1353.0000 0 NA
#> 30 228 11010.0000 0 NA
#> 31 229 2809.0000 0 NA
#> 32 230 23871.0000 0 NA
#> 33 231 41227.0000 0 NA
#> 34 233 9878.0000 0 NA
#> 35 234 400.0000 0 NA
#> 36 235 23717.0000 0 NA
#> 37 236 112.0000 0 NA
#> 38 237 13445.0000 0 NA
#> 39 238 4830.0000 0 NA
#> 40 239 1245.0000 0 NA
#> 41 301 455113.0000 0 NA
#> 42 402 10354.0000 0 NA
#> 43 403 23153.0000 0 NA
#> 44 412 7146.0000 0 NA
#> 45 415 3649.0000 0 NA
#> 46 417 616.0000 0 NA
#> 47 418 2657.0000 0 NA
#> 48 419 2904.0000 0 NA
#> 49 420 1440.0000 0 NA
#> 50 423 1537.0000 0 NA
#> 51 425 1500.0000 0 NA
#> 52 426 1138.5089 1 NA
#> 53 427 7919.0000 0 NA
#> 54 428 10.0000 0 NA
#> 55 429 0.0000 0 NA
#> 56 430 309.0000 0 NA
#> 57 432 742.0000 0 NA
#> 58 434 409.0000 0 NA
#> 59 436 569.0000 0 NA
#> 60 437 1909.0000 0 NA
#> 61 438 830.0000 0 NA
#> 62 439 0.0000 0 NA
#> 63 441 1828.0000 0 NA
#> 64 501 20635.0000 0 NA
#> 65 502 7666.0000 0 NA
#> 66 511 1256.0000 0 NA
#> 67 512 742.0000 0 NA
#> 68 513 3199.0000 0 NA
#> 69 514 1345.9104 1 NA
#> 70 515 1721.0000 0 NA
#> 71 516 7149.0000 0 NA
#> 72 517 4099.0000 0 NA
#> 73 519 0.0000 0 NA
#> 74 520 1576.0000 0 NA
#> 75 521 1535.0000 0 NA
#> 76 522 5721.0000 0 NA
#> 77 528 824.0000 0 NA
#> 78 529 1803.0000 0 NA
#> 79 532 3715.0000 0 NA
#> 80 533 1433.0000 0 NA
#> 81 534 3384.0000 0 NA
#> 82 536 1961.0000 0 NA
#> 83 538 445.0000 0 NA
#> 84 540 0.0000 0 NA
#> 85 541 1097.0000 0 NA
#> 86 542 5303.0000 0 NA
#> 87 543 801.0000 0 NA
#> 88 544 0.0000 0 NA
#> 89 545 140.0000 0 NA
#> 90 602 56116.0000 0 NA
#> 91 604 0.0000 0 NA
#> 92 605 15997.0000 0 NA
#> 93 612 2624.0000 0 NA
#> 94 615 1145.0000 0 NA
#> 95 616 1726.0000 0 NA
#> 96 617 2957.0000 0 NA
#> 97 618 1291.0000 0 NA
#> 98 619 690.0000 0 NA
#> 99 620 1208.0000 0 NA
#> 100 621 106.0000 0 NA
#> 101 622 260.0000 0 NA
#> 102 623 3835.0000 0 NA
#> 103 624 7781.0000 0 NA
#> 104 625 5406.0000 0 NA
#> 105 626 20942.0000 0 NA
#> 106 627 4783.0000 0 NA
#> 107 628 16.0000 0 NA
#> 108 631 1216.0000 0 NA
#> 109 632 304.0000 0 NA
#> 110 633 1873.0000 0 NA
#> 111 701 2934.0000 0 NA
#> 112 702 2043.0000 0 NA
#> 113 704 29885.0000 0 NA
#> 114 706 20503.0000 0 NA
#> 115 709 14068.0000 0 NA
#> 116 711 781.0000 0 NA
#> 117 713 2501.0000 0 NA
#> 118 714 2201.0000 0 NA
#> 119 716 3876.0000 0 NA
#> 120 719 1232.0000 0 NA
#> 121 720 2907.0000 0 NA
#> 122 722 7164.0000 0 NA
#> 123 723 1143.0000 0 NA
#> 124 728 0.0000 0 NA
#> 125 805 12781.0000 0 NA
#> 126 806 72675.0000 0 NA
#> 127 807 9812.0000 0 NA
#> 128 811 106.0000 0 NA
#> 129 814 6103.0000 0 NA
#> 130 815 4926.0000 0 NA
#> 131 817 1600.0000 0 NA
#> 132 819 2033.0000 0 NA
#> 133 821 265.0000 0 NA
#> 134 822 447.0000 0 NA
#> 135 826 3801.0000 0 NA
#> 136 827 0.0000 0 NA
#> 137 828 1015.0000 0 NA
#> 138 829 2806.0000 0 NA
#> 139 830 377.0000 0 NA
#> 140 831 1587.0000 0 NA
#> 141 833 2287.0000 0 NA
#> 142 834 0.0000 0 NA
#> 143 901 2037.0000 0 NA
#> 144 904 8696.0000 0 NA
#> 145 906 23978.0000 0 NA
#> 146 911 0.0000 0 NA
#> 147 912 2438.0000 0 NA
#> 148 914 370.0000 0 NA
#> 149 919 11348.0000 0 NA
#> 150 926 4156.0000 0 NA
#> 151 928 387.0000 0 NA
#> 152 929 1072.0000 0 NA
#> 153 935 386.4808 1 NA
#> 154 937 1088.0000 0 NA
#> 155 938 784.0000 0 NA
#> 156 940 3053.0000 0 NA
#> 157 941 4103.0000 0 NA
#> 158 1001 78937.0000 0 NA
#> 159 1002 14448.0000 0 NA
#> 160 1003 11708.0000 0 NA
#> 161 1004 6981.0000 0 NA
#> 162 1014 6404.0000 0 NA
#> 163 1017 3191.0000 0 NA
#> 164 1018 1007.0000 0 NA
#> 165 1021 1879.0000 0 NA
#> 166 1026 696.0000 0 NA
#> 167 1027 455.0000 0 NA
#> 168 1029 1512.0000 0 NA
#> 169 1032 8749.0000 0 NA
#> 170 1034 45.0000 0 NA
#> 171 1037 863.0000 0 NA
#> 172 1046 739.0000 0 NA
#> 173 1101 5848.0000 0 NA
#> 174 1102 47888.0000 0 NA
#> 175 1103 138672.0000 0 NA
#> 176 1106 28370.0000 0 NA
#> 177 1111 0.0000 0 NA
#> 178 1112 5084.0000 0 NA
#> 179 1114 566.0000 0 NA
#> 180 1119 0.0000 0 NA
#> 181 1120 7220.0000 0 NA
#> 182 1121 6665.0000 0 NA
#> 183 1122 5484.0000 0 NA
#> 184 1124 22687.0000 0 NA
#> 185 1127 11144.0000 0 NA
#> 186 1129 1386.0000 0 NA
#> 187 1130 2357.0000 0 NA
#> 188 1133 2196.0000 0 NA
#> 189 1134 4214.0000 0 NA
#> 190 1135 7117.0000 0 NA
#> 191 1141 0.0000 0 NA
#> 192 1142 1491.0000 0 NA
#> 193 1144 178.0000 0 NA
#> 194 1145 15.0000 0 NA
#> 195 1146 5125.0000 0 NA
#> 196 1149 13044.0000 0 NA
#> 197 1151 563.0000 0 NA
#> 198 1160 2689.0000 0 NA
#> 199 1201 205308.0000 0 NA
#> 200 1211 674.0000 0 NA
#> 201 1216 1531.0000 0 NA
#> 202 1219 262.0000 0 NA
#> 203 1221 6421.0000 0 NA
#> 204 1222 0.0000 0 NA
#> 205 1223 169.0000 0 NA
#> 206 1224 829.0000 0 NA
#> 207 1227 0.0000 0 NA
#> 208 1228 6358.0000 0 NA
#> 209 1231 1092.0000 0 NA
#> 210 1232 1371.0000 0 NA
#> 211 1233 633.0000 0 NA
#> 212 1234 25.0000 0 NA
#> 213 1235 8113.0000 0 NA
#> 214 1238 5161.0000 0 NA
#> 215 1241 1435.0000 0 NA
#> 216 1242 572.0000 0 NA
#> 217 1243 2162.0000 0 NA
#> 218 1244 2002.0000 0 NA
#> 219 1245 0.0000 0 NA
#> 220 1246 7228.0000 0 NA
#> 221 1247 9927.0000 0 NA
#> 222 1251 4074.0000 0 NA
#> 223 1252 0.0000 0 NA
#> 224 1253 846.0000 0 NA
#> 225 1256 0.0000 0 NA
#> 226 1259 2720.0000 0 NA
#> 227 1260 2169.0000 0 NA
#> 228 1263 8647.0000 0 NA
#> 229 1264 4004.0000 0 NA
#> 230 1265 1303.0000 0 NA
#> 231 1266 1542.0000 0 NA
#> 232 1401 14126.0000 0 NA
#> 233 1411 0.0000 0 NA
#> 234 1412 658.0000 0 NA
#> 235 1413 387.0000 0 NA
#> 236 1416 12094.0000 0 NA
#> 237 1417 0.0000 0 NA
#> 238 1418 1048.0000 0 NA
#> 239 1419 2397.0000 0 NA
#> 240 1420 397.0000 0 NA
#> 241 1421 0.0000 0 NA
#> 242 1422 0.0000 0 NA
#> 243 1424 8456.0000 0 NA
#> 244 1426 11700.0000 0 NA
#> 245 1428 0.0000 0 NA
#> 246 1429 1079.0000 0 NA
#> 247 1430 285.0000 0 NA
#> 248 1431 914.4407 1 NA
#> 249 1432 5772.0000 0 NA
#> 250 1433 94.0000 0 NA
#> 251 1438 758.0000 0 NA
#> 252 1439 1895.0000 0 NA
#> 253 1441 0.0000 0 NA
#> 254 1443 3038.0000 0 NA
#> 255 1444 0.0000 0 NA
#> 256 1445 8526.0000 0 NA
#> 257 1449 2281.0000 0 NA
#> 258 1502 24205.0000 0 NA
#> 259 1504 22851.0000 0 NA
#> 260 1505 7486.0000 0 NA
#> 261 1511 1064.0000 0 NA
#> 262 1514 405.0000 0 NA
#> 263 1515 3423.0000 0 NA
#> 264 1516 5817.0000 0 NA
#> 265 1517 1780.0000 0 NA
#> 266 1519 932.0000 0 NA
#> 267 1520 3974.0000 0 NA
#> 268 1523 3098.0000 0 NA
#> 269 1524 601.0000 0 NA
#> 270 1525 461.0000 0 NA
#> 271 1526 299.3245 1 NA
#> 272 1528 3714.0000 0 NA
#> 273 1529 3436.0000 0 NA
#> 274 1531 2024.0000 0 NA
#> 275 1532 2111.0000 0 NA
#> 276 1534 1115.0000 0 NA
#> 277 1535 2432.0000 0 NA
#> 278 1539 3288.0000 0 NA
#> 279 1543 554.0000 0 NA
#> 280 1545 0.0000 0 NA
#> 281 1546 0.0000 0 NA
#> 282 1547 1770.0000 0 NA
#> 283 1548 1287.0000 0 NA
#> 284 1551 2093.0000 0 NA
#> 285 1554 1862.0000 0 NA
#> 286 1557 1061.0000 0 NA
#> 287 1560 980.0000 0 NA
#> 288 1563 7244.0000 0 NA
#> 289 1566 5687.0000 0 NA
#> 290 1567 0.0000 0 NA
#> 291 1571 958.0000 0 NA
#> 292 1573 1105.0000 0 NA
#> 293 1576 1765.0000 0 NA
#> 294 1601 77340.0000 0 NA
#> 295 1612 3297.0000 0 NA
#> 296 1613 286.9994 1 NA
#> 297 1617 14.0000 0 NA
#> 298 1620 3938.0000 0 NA
#> 299 1621 5014.0000 0 NA
#> 300 1622 1070.0000 0 NA
#> 301 1624 388.0000 0 NA
#> 302 1627 2042.0000 0 NA
#> 303 1630 2.0000 0 NA
#> 304 1632 0.0000 0 NA
#> 305 1633 564.0000 0 NA
#> 306 1634 5541.0000 0 NA
#> 307 1635 1462.0000 0 NA
#> 308 1636 0.0000 0 NA
#> 309 1638 7918.0000 0 NA
#> 310 1640 0.0000 0 NA
#> 311 1644 1926.0000 0 NA
#> 312 1648 5310.0000 0 NA
#> 313 1653 12273.0000 0 NA
#> 314 1657 1835.0000 0 NA
#> 315 1662 2014.0000 0 NA
#> 316 1663 14395.0000 0 NA
#> 317 1664 2009.0000 0 NA
#> 318 1665 3413.0000 0 NA
#> 319 1702 2123.0000 0 NA
#> 320 1703 9687.0000 0 NA
#> 321 1711 3978.0000 0 NA
#> 322 1714 23850.0000 0 NA
#> 323 1717 0.0000 0 NA
#> 324 1718 1291.0000 0 NA
#> 325 1719 25837.0000 0 NA
#> 326 1721 3302.0000 0 NA
#> 327 1724 473.0000 0 NA
#> 328 1725 0.0000 0 NA
#> 329 1736 0.0000 0 NA
#> 330 1738 1379.0000 0 NA
#> 331 1739 297.0000 0 NA
#> 332 1740 0.0000 0 NA
#> 333 1742 3258.0000 0 NA
#> 334 1743 0.0000 0 NA
#> 335 1744 331.0000 0 NA
#> 336 1748 85.0000 0 NA
#> 337 1749 405.0000 0 NA
#> 338 1750 5225.0000 0 NA
#> 339 1751 607.0000 0 NA
#> 340 1755 0.0000 0 NA
#> 341 1756 132.0000 0 NA
#> 342 1804 32268.0000 0 NA
#> 343 1805 13906.0000 0 NA
#> 344 1811 0.0000 0 NA
#> 345 1812 1226.0000 0 NA
#> 346 1813 5188.0000 0 NA
#> 347 1815 649.6262 1 NA
#> 348 1816 157.8905 1 NA
#> 349 1818 527.7716 1 NA
#> 350 1820 5115.0000 0 NA
#> 351 1822 594.0000 0 NA
#> 352 1824 8888.0000 0 NA
#> 353 1825 22.0000 0 NA
#> 354 1826 1127.0000 0 NA
#> 355 1827 411.4245 1 NA
#> 356 1828 354.0000 0 NA
#> 357 1832 1770.0000 0 NA
#> 358 1833 20207.0000 0 NA
#> 359 1834 598.8627 1 NA
#> 360 1835 140.2717 1 NA
#> 361 1836 14.0000 0 NA
#> 362 1837 2027.0000 0 NA
#> 363 1838 744.0000 0 NA
#> 364 1839 0.0000 0 NA
#> 365 1840 1423.1362 1 NA
#> 366 1841 8214.0000 0 NA
#> 367 1845 1025.0935 1 NA
#> 368 1848 2327.0000 0 NA
#> 369 1849 952.5067 1 NA
#> 370 1850 1030.8378 1 NA
#> 371 1851 1529.0000 0 NA
#> 372 1852 376.5033 1 NA
#> 373 1853 731.0906 1 NA
#> 374 1854 773.9438 1 NA
#> 375 1856 22.0000 0 NA
#> 376 1857 0.0000 0 NA
#> 377 1859 147.0000 0 NA
#> 378 1860 1959.0000 0 NA
#> 379 1865 2793.0000 0 NA
#> 380 1866 4907.0000 0 NA
#> 381 1867 772.3746 1 NA
#> 382 1868 2105.0000 0 NA
#> 383 1870 9559.0000 0 NA
#> 384 1871 3177.0000 0 NA
#> 385 1874 0.0000 0 NA
#> 386 1902 31866.0000 0 NA
#> 387 1903 15689.0000 0 NA
#> 388 1911 4104.0000 0 NA
#> 389 1913 2090.0000 0 NA
#> 390 1917 891.0000 0 NA
#> 391 1919 0.0000 0 NA
#> 392 1920 0.0000 0 NA
#> 393 1922 2304.7353 1 NA
#> 394 1923 3622.0000 0 NA
#> 395 1924 5510.0000 0 NA
#> 396 1925 1045.2481 1 NA
#> 397 1926 146.0000 0 NA
#> 398 1927 0.0000 0 NA
#> 399 1928 0.0000 0 NA
#> 400 1929 225.0000 0 NA
#> 401 1931 1766.0000 0 NA
#> 402 1933 712.0000 0 NA
#> 403 1936 997.0000 0 NA
#> 404 1938 591.0000 0 NA
#> 405 1939 1061.0000 0 NA
#> 406 1940 595.0000 0 NA
#> 407 1941 629.0000 0 NA
#> 408 1942 969.0000 0 NA
#> 409 1943 0.0000 0 NA
#> 410 2002 8367.0000 0 NA
#> 411 2003 1913.0000 0 NA
#> 412 2004 17871.0000 0 NA
#> 413 2011 1708.0000 0 NA
#> 414 2012 14343.0000 0 NA
#> 415 2014 0.0000 0 NA
#> 416 2015 24.0000 0 NA
#> 417 2017 530.0000 0 NA
#> 418 2018 653.0000 0 NA
#> 419 2019 2742.0000 0 NA
#> 420 2020 0.0000 0 NA
#> 421 2021 4038.0000 0 NA
#> 422 2022 1667.0000 0 NA
#> 423 2023 1569.0000 0 NA
#> 424 2024 1048.0000 0 NA
#> 425 2025 1525.8906 1 NA
#> 426 2027 581.1183 1 NA
#> 427 2028 1267.9198 1 NA
#> 428 2030 19083.0000 0 NA
#> 429 13 2034267.1183 1 0.07525468
#> 430 3 85793.5655 3 3.24980390
#> 431 5 16670.3786 7 8.25458104
#> 432 1 21086.0000 0 0.00000000
#> 433 4 6767.7532 2 8.42153244
#> 434 10 57945.0000 0 0.00000000
#> 435 11 219433.0000 0 0.00000000
#> 436 8 150654.0000 0 0.00000000
#> 437 2 66837.0493 6 3.35393273
#> 438 7 125085.0000 0 0.00000000
#> 439 6 44514.0454 6 4.44704297
#> 440 12 140472.0000 0 0.00000000
#> 441 Total 2969524.9104 25 0.15534326
ImputeRegressionWideSmall(w, strataName = names(w)[2], method="ratio")
#> id strata estimate Strata_estimate Strata_cv Strata_nImputed
#> 1 101 13 2792.0000 2034267.118 0.07525468 1
#> 2 104 13 11319.0000 2034267.118 0.07525468 1
#> 3 105 13 32854.0000 2034267.118 0.07525468 1
#> 4 106 13 42362.0000 2034267.118 0.07525468 1
#> 5 111 3 3278.0000 85793.566 3.24980390 3
#> 6 118 5 853.0000 16670.379 8.25458104 7
#> 7 119 1 1531.0000 21086.000 0.00000000 0
#> 8 121 4 103.0000 6767.753 8.42153244 2
#> 9 122 10 2226.0000 57945.000 0.00000000 0
#> 10 123 11 2512.0000 219433.000 0.00000000 0
#> 11 124 8 6721.0000 150654.000 0.00000000 0
#> 12 125 10 10538.0000 57945.000 0.00000000 0
#> 13 127 2 0.0000 66837.049 3.35393273 6
#> 14 128 11 474.0000 219433.000 0.00000000 0
#> 15 135 7 1507.0000 125085.000 0.00000000 0
#> 16 136 7 5491.0000 125085.000 0.00000000 0
#> 17 137 1 331.0000 21086.000 0.00000000 0
#> 18 138 1 811.0000 21086.000 0.00000000 0
#> 19 211 7 9867.0000 125085.000 0.00000000 0
#> 20 213 13 22914.0000 2034267.118 0.07525468 1
#> 21 214 7 9635.0000 125085.000 0.00000000 0
#> 22 215 8 7751.0000 150654.000 0.00000000 0
#> 23 216 7 10648.0000 125085.000 0.00000000 0
#> 24 217 13 14146.0000 2034267.118 0.07525468 1
#> 25 219 13 97383.0000 2034267.118 0.07525468 1
#> 26 220 13 53067.0000 2034267.118 0.07525468 1
#> 27 221 7 0.0000 125085.000 0.00000000 0
#> 28 226 7 4400.0000 125085.000 0.00000000 0
#> 29 227 7 1353.0000 125085.000 0.00000000 0
#> 30 228 7 11010.0000 125085.000 0.00000000 0
#> 31 229 7 2809.0000 125085.000 0.00000000 0
#> 32 230 13 23871.0000 2034267.118 0.07525468 1
#> 33 231 13 41227.0000 2034267.118 0.07525468 1
#> 34 233 13 9878.0000 2034267.118 0.07525468 1
#> 35 234 7 400.0000 125085.000 0.00000000 0
#> 36 235 13 23717.0000 2034267.118 0.07525468 1
#> 37 236 7 112.0000 125085.000 0.00000000 0
#> 38 237 13 13445.0000 2034267.118 0.07525468 1
#> 39 238 7 4830.0000 125085.000 0.00000000 0
#> 40 239 2 1245.0000 66837.049 3.35393273 6
#> 41 301 13 455113.0000 2034267.118 0.07525468 1
#> 42 402 8 10354.0000 150654.000 0.00000000 0
#> 43 403 13 23153.0000 2034267.118 0.07525468 1
#> 44 412 13 7146.0000 2034267.118 0.07525468 1
#> 45 415 7 3649.0000 125085.000 0.00000000 0
#> 46 417 10 616.0000 57945.000 0.00000000 0
#> 47 418 10 2657.0000 57945.000 0.00000000 0
#> 48 419 7 2904.0000 125085.000 0.00000000 0
#> 49 420 11 1440.0000 219433.000 0.00000000 0
#> 50 423 2 1537.0000 66837.049 3.35393273 6
#> 51 425 11 1500.0000 219433.000 0.00000000 0
#> 52 426 2 1138.5089 66837.049 3.35393273 6
#> 53 427 13 7919.0000 2034267.118 0.07525468 1
#> 54 428 11 10.0000 219433.000 0.00000000 0
#> 55 429 2 0.0000 66837.049 3.35393273 6
#> 56 430 2 309.0000 66837.049 3.35393273 6
#> 57 432 3 742.0000 85793.566 3.24980390 3
#> 58 434 6 409.0000 44514.045 4.44704297 6
#> 59 436 5 569.0000 16670.379 8.25458104 7
#> 60 437 12 1909.0000 140472.000 0.00000000 0
#> 61 438 2 830.0000 66837.049 3.35393273 6
#> 62 439 2 0.0000 66837.049 3.35393273 6
#> 63 441 5 1828.0000 16670.379 8.25458104 7
#> 64 501 13 20635.0000 2034267.118 0.07525468 1
#> 65 502 13 7666.0000 2034267.118 0.07525468 1
#> 66 511 2 1256.0000 66837.049 3.35393273 6
#> 67 512 5 742.0000 16670.379 8.25458104 7
#> 68 513 3 3199.0000 85793.566 3.24980390 3
#> 69 514 3 1345.9104 85793.566 3.24980390 3
#> 70 515 2 1721.0000 66837.049 3.35393273 6
#> 71 516 12 7149.0000 140472.000 0.00000000 0
#> 72 517 11 4099.0000 219433.000 0.00000000 0
#> 73 519 2 0.0000 66837.049 3.35393273 6
#> 74 520 2 1576.0000 66837.049 3.35393273 6
#> 75 521 11 1535.0000 219433.000 0.00000000 0
#> 76 522 11 5721.0000 219433.000 0.00000000 0
#> 77 528 10 824.0000 57945.000 0.00000000 0
#> 78 529 7 1803.0000 125085.000 0.00000000 0
#> 79 532 7 3715.0000 125085.000 0.00000000 0
#> 80 533 7 1433.0000 125085.000 0.00000000 0
#> 81 534 10 3384.0000 57945.000 0.00000000 0
#> 82 536 10 1961.0000 57945.000 0.00000000 0
#> 83 538 11 445.0000 219433.000 0.00000000 0
#> 84 540 2 0.0000 66837.049 3.35393273 6
#> 85 541 6 1097.0000 44514.045 4.44704297 6
#> 86 542 11 5303.0000 219433.000 0.00000000 0
#> 87 543 2 801.0000 66837.049 3.35393273 6
#> 88 544 2 0.0000 66837.049 3.35393273 6
#> 89 545 6 140.0000 44514.045 4.44704297 6
#> 90 602 13 56116.0000 2034267.118 0.07525468 1
#> 91 604 13 0.0000 2034267.118 0.07525468 1
#> 92 605 13 15997.0000 2034267.118 0.07525468 1
#> 93 612 8 2624.0000 150654.000 0.00000000 0
#> 94 615 5 1145.0000 16670.379 8.25458104 7
#> 95 616 2 1726.0000 66837.049 3.35393273 6
#> 96 617 2 2957.0000 66837.049 3.35393273 6
#> 97 618 2 1291.0000 66837.049 3.35393273 6
#> 98 619 3 690.0000 85793.566 3.24980390 3
#> 99 620 3 1208.0000 85793.566 3.24980390 3
#> 100 621 2 106.0000 66837.049 3.35393273 6
#> 101 622 1 260.0000 21086.000 0.00000000 0
#> 102 623 10 3835.0000 57945.000 0.00000000 0
#> 103 624 7 7781.0000 125085.000 0.00000000 0
#> 104 625 13 5406.0000 2034267.118 0.07525468 1
#> 105 626 13 20942.0000 2034267.118 0.07525468 1
#> 106 627 13 4783.0000 2034267.118 0.07525468 1
#> 107 628 7 16.0000 125085.000 0.00000000 0
#> 108 631 1 1216.0000 21086.000 0.00000000 0
#> 109 632 6 304.0000 44514.045 4.44704297 6
#> 110 633 6 1873.0000 44514.045 4.44704297 6
#> 111 701 13 2934.0000 2034267.118 0.07525468 1
#> 112 702 7 2043.0000 125085.000 0.00000000 0
#> 113 704 13 29885.0000 2034267.118 0.07525468 1
#> 114 706 13 20503.0000 2034267.118 0.07525468 1
#> 115 709 13 14068.0000 2034267.118 0.07525468 1
#> 116 711 7 781.0000 125085.000 0.00000000 0
#> 117 713 10 2501.0000 57945.000 0.00000000 0
#> 118 714 2 2201.0000 66837.049 3.35393273 6
#> 119 716 8 3876.0000 150654.000 0.00000000 0
#> 120 719 10 1232.0000 57945.000 0.00000000 0
#> 121 720 7 2907.0000 125085.000 0.00000000 0
#> 122 722 13 7164.0000 2034267.118 0.07525468 1
#> 123 723 1 1143.0000 21086.000 0.00000000 0
#> 124 728 1 0.0000 21086.000 0.00000000 0
#> 125 805 13 12781.0000 2034267.118 0.07525468 1
#> 126 806 13 72675.0000 2034267.118 0.07525468 1
#> 127 807 11 9812.0000 219433.000 0.00000000 0
#> 128 811 1 106.0000 21086.000 0.00000000 0
#> 129 814 8 6103.0000 150654.000 0.00000000 0
#> 130 815 11 4926.0000 219433.000 0.00000000 0
#> 131 817 2 1600.0000 66837.049 3.35393273 6
#> 132 819 11 2033.0000 219433.000 0.00000000 0
#> 133 821 11 265.0000 219433.000 0.00000000 0
#> 134 822 1 447.0000 21086.000 0.00000000 0
#> 135 826 12 3801.0000 140472.000 0.00000000 0
#> 136 827 5 0.0000 16670.379 8.25458104 7
#> 137 828 2 1015.0000 66837.049 3.35393273 6
#> 138 829 2 2806.0000 66837.049 3.35393273 6
#> 139 830 5 377.0000 16670.379 8.25458104 7
#> 140 831 6 1587.0000 44514.045 4.44704297 6
#> 141 833 3 2287.0000 85793.566 3.24980390 3
#> 142 834 3 0.0000 85793.566 3.24980390 3
#> 143 901 11 2037.0000 219433.000 0.00000000 0
#> 144 904 13 8696.0000 2034267.118 0.07525468 1
#> 145 906 13 23978.0000 2034267.118 0.07525468 1
#> 146 911 2 0.0000 66837.049 3.35393273 6
#> 147 912 1 2438.0000 21086.000 0.00000000 0
#> 148 914 10 370.0000 57945.000 0.00000000 0
#> 149 919 11 11348.0000 219433.000 0.00000000 0
#> 150 926 11 4156.0000 219433.000 0.00000000 0
#> 151 928 2 387.0000 66837.049 3.35393273 6
#> 152 929 6 1072.0000 44514.045 4.44704297 6
#> 153 935 5 386.4808 16670.379 8.25458104 7
#> 154 937 1 1088.0000 21086.000 0.00000000 0
#> 155 938 6 784.0000 44514.045 4.44704297 6
#> 156 940 6 3053.0000 44514.045 4.44704297 6
#> 157 941 13 4103.0000 2034267.118 0.07525468 1
#> 158 1001 13 78937.0000 2034267.118 0.07525468 1
#> 159 1002 8 14448.0000 150654.000 0.00000000 0
#> 160 1003 11 11708.0000 219433.000 0.00000000 0
#> 161 1004 11 6981.0000 219433.000 0.00000000 0
#> 162 1014 8 6404.0000 150654.000 0.00000000 0
#> 163 1017 10 3191.0000 57945.000 0.00000000 0
#> 164 1018 7 1007.0000 125085.000 0.00000000 0
#> 165 1021 4 1879.0000 6767.753 8.42153244 2
#> 166 1026 6 696.0000 44514.045 4.44704297 6
#> 167 1027 4 455.0000 6767.753 8.42153244 2
#> 168 1029 2 1512.0000 66837.049 3.35393273 6
#> 169 1032 11 8749.0000 219433.000 0.00000000 0
#> 170 1034 5 45.0000 16670.379 8.25458104 7
#> 171 1037 12 863.0000 140472.000 0.00000000 0
#> 172 1046 13 739.0000 2034267.118 0.07525468 1
#> 173 1101 10 5848.0000 57945.000 0.00000000 0
#> 174 1102 13 47888.0000 2034267.118 0.07525468 1
#> 175 1103 13 138672.0000 2034267.118 0.07525468 1
#> 176 1106 13 28370.0000 2034267.118 0.07525468 1
#> 177 1111 1 0.0000 21086.000 0.00000000 0
#> 178 1112 2 5084.0000 66837.049 3.35393273 6
#> 179 1114 2 566.0000 66837.049 3.35393273 6
#> 180 1119 7 0.0000 125085.000 0.00000000 0
#> 181 1120 7 7220.0000 125085.000 0.00000000 0
#> 182 1121 8 6665.0000 150654.000 0.00000000 0
#> 183 1122 8 5484.0000 150654.000 0.00000000 0
#> 184 1124 13 22687.0000 2034267.118 0.07525468 1
#> 185 1127 8 11144.0000 150654.000 0.00000000 0
#> 186 1129 13 1386.0000 2034267.118 0.07525468 1
#> 187 1130 8 2357.0000 150654.000 0.00000000 0
#> 188 1133 3 2196.0000 85793.566 3.24980390 3
#> 189 1134 13 4214.0000 2034267.118 0.07525468 1
#> 190 1135 3 7117.0000 85793.566 3.24980390 3
#> 191 1141 2 0.0000 66837.049 3.35393273 6
#> 192 1142 2 1491.0000 66837.049 3.35393273 6
#> 193 1144 4 178.0000 6767.753 8.42153244 2
#> 194 1145 5 15.0000 16670.379 8.25458104 7
#> 195 1146 12 5125.0000 140472.000 0.00000000 0
#> 196 1149 13 13044.0000 2034267.118 0.07525468 1
#> 197 1151 4 563.0000 6767.753 8.42153244 2
#> 198 1160 11 2689.0000 219433.000 0.00000000 0
#> 199 1201 13 205308.0000 2034267.118 0.07525468 1
#> 200 1211 1 674.0000 21086.000 0.00000000 0
#> 201 1216 11 1531.0000 219433.000 0.00000000 0
#> 202 1219 11 262.0000 219433.000 0.00000000 0
#> 203 1221 8 6421.0000 150654.000 0.00000000 0
#> 204 1222 3 0.0000 85793.566 3.24980390 3
#> 205 1223 2 169.0000 66837.049 3.35393273 6
#> 206 1224 11 829.0000 219433.000 0.00000000 0
#> 207 1227 6 0.0000 44514.045 4.44704297 6
#> 208 1228 12 6358.0000 140472.000 0.00000000 0
#> 209 1231 2 1092.0000 66837.049 3.35393273 6
#> 210 1232 13 1371.0000 2034267.118 0.07525468 1
#> 211 1233 6 633.0000 44514.045 4.44704297 6
#> 212 1234 5 25.0000 16670.379 8.25458104 7
#> 213 1235 11 8113.0000 219433.000 0.00000000 0
#> 214 1238 11 5161.0000 219433.000 0.00000000 0
#> 215 1241 2 1435.0000 66837.049 3.35393273 6
#> 216 1242 3 572.0000 85793.566 3.24980390 3
#> 217 1243 8 2162.0000 150654.000 0.00000000 0
#> 218 1244 3 2002.0000 85793.566 3.24980390 3
#> 219 1245 8 0.0000 150654.000 0.00000000 0
#> 220 1246 13 7228.0000 2034267.118 0.07525468 1
#> 221 1247 13 9927.0000 2034267.118 0.07525468 1
#> 222 1251 3 4074.0000 85793.566 3.24980390 3
#> 223 1252 13 0.0000 2034267.118 0.07525468 1
#> 224 1253 10 846.0000 57945.000 0.00000000 0
#> 225 1256 8 0.0000 150654.000 0.00000000 0
#> 226 1259 3 2720.0000 85793.566 3.24980390 3
#> 227 1260 10 2169.0000 57945.000 0.00000000 0
#> 228 1263 12 8647.0000 140472.000 0.00000000 0
#> 229 1264 2 4004.0000 66837.049 3.35393273 6
#> 230 1265 5 1303.0000 16670.379 8.25458104 7
#> 231 1266 6 1542.0000 44514.045 4.44704297 6
#> 232 1401 11 14126.0000 219433.000 0.00000000 0
#> 233 1411 5 0.0000 16670.379 8.25458104 7
#> 234 1412 5 658.0000 16670.379 8.25458104 7
#> 235 1413 4 387.0000 6767.753 8.42153244 2
#> 236 1416 3 12094.0000 85793.566 3.24980390 3
#> 237 1417 3 0.0000 85793.566 3.24980390 3
#> 238 1418 5 1048.0000 16670.379 8.25458104 7
#> 239 1419 2 2397.0000 66837.049 3.35393273 6
#> 240 1420 8 397.0000 150654.000 0.00000000 0
#> 241 1421 13 0.0000 2034267.118 0.07525468 1
#> 242 1422 6 0.0000 44514.045 4.44704297 6
#> 243 1424 12 8456.0000 140472.000 0.00000000 0
#> 244 1426 12 11700.0000 140472.000 0.00000000 0
#> 245 1428 1 0.0000 21086.000 0.00000000 0
#> 246 1429 2 1079.0000 66837.049 3.35393273 6
#> 247 1430 2 285.0000 66837.049 3.35393273 6
#> 248 1431 2 914.4407 66837.049 3.35393273 6
#> 249 1432 8 5772.0000 150654.000 0.00000000 0
#> 250 1433 2 94.0000 66837.049 3.35393273 6
#> 251 1438 6 758.0000 44514.045 4.44704297 6
#> 252 1439 11 1895.0000 219433.000 0.00000000 0
#> 253 1441 1 0.0000 21086.000 0.00000000 0
#> 254 1443 11 3038.0000 219433.000 0.00000000 0
#> 255 1444 4 0.0000 6767.753 8.42153244 2
#> 256 1445 11 8526.0000 219433.000 0.00000000 0
#> 257 1449 10 2281.0000 57945.000 0.00000000 0
#> 258 1502 13 24205.0000 2034267.118 0.07525468 1
#> 259 1504 13 22851.0000 2034267.118 0.07525468 1
#> 260 1505 13 7486.0000 2034267.118 0.07525468 1
#> 261 1511 2 1064.0000 66837.049 3.35393273 6
#> 262 1514 1 405.0000 21086.000 0.00000000 0
#> 263 1515 8 3423.0000 150654.000 0.00000000 0
#> 264 1516 11 5817.0000 219433.000 0.00000000 0
#> 265 1517 10 1780.0000 57945.000 0.00000000 0
#> 266 1519 11 932.0000 219433.000 0.00000000 0
#> 267 1520 10 3974.0000 57945.000 0.00000000 0
#> 268 1523 1 3098.0000 21086.000 0.00000000 0
#> 269 1524 6 601.0000 44514.045 4.44704297 6
#> 270 1525 2 461.0000 66837.049 3.35393273 6
#> 271 1526 5 299.3245 16670.379 8.25458104 7
#> 272 1528 7 3714.0000 125085.000 0.00000000 0
#> 273 1529 1 3436.0000 21086.000 0.00000000 0
#> 274 1531 7 2024.0000 125085.000 0.00000000 0
#> 275 1532 11 2111.0000 219433.000 0.00000000 0
#> 276 1534 10 1115.0000 57945.000 0.00000000 0
#> 277 1535 11 2432.0000 219433.000 0.00000000 0
#> 278 1539 11 3288.0000 219433.000 0.00000000 0
#> 279 1543 2 554.0000 66837.049 3.35393273 6
#> 280 1545 4 0.0000 6767.753 8.42153244 2
#> 281 1546 5 0.0000 16670.379 8.25458104 7
#> 282 1547 13 1770.0000 2034267.118 0.07525468 1
#> 283 1548 10 1287.0000 57945.000 0.00000000 0
#> 284 1551 1 2093.0000 21086.000 0.00000000 0
#> 285 1554 11 1862.0000 219433.000 0.00000000 0
#> 286 1557 2 1061.0000 66837.049 3.35393273 6
#> 287 1560 2 980.0000 66837.049 3.35393273 6
#> 288 1563 12 7244.0000 140472.000 0.00000000 0
#> 289 1566 11 5687.0000 219433.000 0.00000000 0
#> 290 1567 2 0.0000 66837.049 3.35393273 6
#> 291 1571 5 958.0000 16670.379 8.25458104 7
#> 292 1573 6 1105.0000 44514.045 4.44704297 6
#> 293 1576 3 1765.0000 85793.566 3.24980390 3
#> 294 1601 13 77340.0000 2034267.118 0.07525468 1
#> 295 1612 2 3297.0000 66837.049 3.35393273 6
#> 296 1613 5 286.9994 16670.379 8.25458104 7
#> 297 1617 3 14.0000 85793.566 3.24980390 3
#> 298 1620 3 3938.0000 85793.566 3.24980390 3
#> 299 1621 8 5014.0000 150654.000 0.00000000 0
#> 300 1622 4 1070.0000 6767.753 8.42153244 2
#> 301 1624 11 388.0000 219433.000 0.00000000 0
#> 302 1627 2 2042.0000 66837.049 3.35393273 6
#> 303 1630 2 2.0000 66837.049 3.35393273 6
#> 304 1632 5 0.0000 16670.379 8.25458104 7
#> 305 1633 5 564.0000 16670.379 8.25458104 7
#> 306 1634 11 5541.0000 219433.000 0.00000000 0
#> 307 1635 2 1462.0000 66837.049 3.35393273 6
#> 308 1636 2 0.0000 66837.049 3.35393273 6
#> 309 1638 7 7918.0000 125085.000 0.00000000 0
#> 310 1640 11 0.0000 219433.000 0.00000000 0
#> 311 1644 2 1926.0000 66837.049 3.35393273 6
#> 312 1648 10 5310.0000 57945.000 0.00000000 0
#> 313 1653 7 12273.0000 125085.000 0.00000000 0
#> 314 1657 7 1835.0000 125085.000 0.00000000 0
#> 315 1662 11 2014.0000 219433.000 0.00000000 0
#> 316 1663 8 14395.0000 150654.000 0.00000000 0
#> 317 1664 1 2009.0000 21086.000 0.00000000 0
#> 318 1665 6 3413.0000 44514.045 4.44704297 6
#> 319 1702 13 2123.0000 2034267.118 0.07525468 1
#> 320 1703 11 9687.0000 219433.000 0.00000000 0
#> 321 1711 3 3978.0000 85793.566 3.24980390 3
#> 322 1714 13 23850.0000 2034267.118 0.07525468 1
#> 323 1717 1 0.0000 21086.000 0.00000000 0
#> 324 1718 4 1291.0000 6767.753 8.42153244 2
#> 325 1719 8 25837.0000 150654.000 0.00000000 0
#> 326 1721 8 3302.0000 150654.000 0.00000000 0
#> 327 1724 2 473.0000 66837.049 3.35393273 6
#> 328 1725 5 0.0000 16670.379 8.25458104 7
#> 329 1736 3 0.0000 85793.566 3.24980390 3
#> 330 1738 5 1379.0000 16670.379 8.25458104 7
#> 331 1739 6 297.0000 44514.045 4.44704297 6
#> 332 1740 6 0.0000 44514.045 4.44704297 6
#> 333 1742 6 3258.0000 44514.045 4.44704297 6
#> 334 1743 5 0.0000 16670.379 8.25458104 7
#> 335 1744 2 331.0000 66837.049 3.35393273 6
#> 336 1748 4 85.0000 6767.753 8.42153244 2
#> 337 1749 5 405.0000 16670.379 8.25458104 7
#> 338 1750 3 5225.0000 85793.566 3.24980390 3
#> 339 1751 11 607.0000 219433.000 0.00000000 0
#> 340 1755 5 0.0000 16670.379 8.25458104 7
#> 341 1756 11 132.0000 219433.000 0.00000000 0
#> 342 1804 13 32268.0000 2034267.118 0.07525468 1
#> 343 1805 11 13906.0000 219433.000 0.00000000 0
#> 344 1811 5 0.0000 16670.379 8.25458104 7
#> 345 1812 3 1226.0000 85793.566 3.24980390 3
#> 346 1813 11 5188.0000 219433.000 0.00000000 0
#> 347 1815 6 649.6262 44514.045 4.44704297 6
#> 348 1816 4 157.8905 6767.753 8.42153244 2
#> 349 1818 2 527.7716 66837.049 3.35393273 6
#> 350 1820 12 5115.0000 140472.000 0.00000000 0
#> 351 1822 2 594.0000 66837.049 3.35393273 6
#> 352 1824 12 8888.0000 140472.000 0.00000000 0
#> 353 1825 5 22.0000 16670.379 8.25458104 7
#> 354 1826 6 1127.0000 44514.045 4.44704297 6
#> 355 1827 5 411.4245 16670.379 8.25458104 7
#> 356 1828 6 354.0000 44514.045 4.44704297 6
#> 357 1832 3 1770.0000 85793.566 3.24980390 3
#> 358 1833 13 20207.0000 2034267.118 0.07525468 1
#> 359 1834 4 598.8627 6767.753 8.42153244 2
#> 360 1835 5 140.2717 16670.379 8.25458104 7
#> 361 1836 5 14.0000 16670.379 8.25458104 7
#> 362 1837 12 2027.0000 140472.000 0.00000000 0
#> 363 1838 6 744.0000 44514.045 4.44704297 6
#> 364 1839 6 0.0000 44514.045 4.44704297 6
#> 365 1840 2 1423.1362 66837.049 3.35393273 6
#> 366 1841 12 8214.0000 140472.000 0.00000000 0
#> 367 1845 6 1025.0935 44514.045 4.44704297 6
#> 368 1848 3 2327.0000 85793.566 3.24980390 3
#> 369 1849 6 952.5067 44514.045 4.44704297 6
#> 370 1850 6 1030.8378 44514.045 4.44704297 6
#> 371 1851 5 1529.0000 16670.379 8.25458104 7
#> 372 1852 5 376.5033 16670.379 8.25458104 7
#> 373 1853 6 731.0906 44514.045 4.44704297 6
#> 374 1854 2 773.9438 66837.049 3.35393273 6
#> 375 1856 6 22.0000 44514.045 4.44704297 6
#> 376 1857 4 0.0000 6767.753 8.42153244 2
#> 377 1859 5 147.0000 16670.379 8.25458104 7
#> 378 1860 11 1959.0000 219433.000 0.00000000 0
#> 379 1865 11 2793.0000 219433.000 0.00000000 0
#> 380 1866 11 4907.0000 219433.000 0.00000000 0
#> 381 1867 5 772.3746 16670.379 8.25458104 7
#> 382 1868 2 2105.0000 66837.049 3.35393273 6
#> 383 1870 11 9559.0000 219433.000 0.00000000 0
#> 384 1871 11 3177.0000 219433.000 0.00000000 0
#> 385 1874 5 0.0000 16670.379 8.25458104 7
#> 386 1902 13 31866.0000 2034267.118 0.07525468 1
#> 387 1903 13 15689.0000 2034267.118 0.07525468 1
#> 388 1911 6 4104.0000 44514.045 4.44704297 6
#> 389 1913 2 2090.0000 66837.049 3.35393273 6
#> 390 1917 6 891.0000 44514.045 4.44704297 6
#> 391 1919 5 0.0000 16670.379 8.25458104 7
#> 392 1920 6 0.0000 44514.045 4.44704297 6
#> 393 1922 3 2304.7353 85793.566 3.24980390 3
#> 394 1923 13 3622.0000 2034267.118 0.07525468 1
#> 395 1924 11 5510.0000 219433.000 0.00000000 0
#> 396 1925 2 1045.2481 66837.049 3.35393273 6
#> 397 1926 5 146.0000 16670.379 8.25458104 7
#> 398 1927 5 0.0000 16670.379 8.25458104 7
#> 399 1928 4 0.0000 6767.753 8.42153244 2
#> 400 1929 5 225.0000 16670.379 8.25458104 7
#> 401 1931 12 1766.0000 140472.000 0.00000000 0
#> 402 1933 11 712.0000 219433.000 0.00000000 0
#> 403 1936 6 997.0000 44514.045 4.44704297 6
#> 404 1938 6 591.0000 44514.045 4.44704297 6
#> 405 1939 6 1061.0000 44514.045 4.44704297 6
#> 406 1940 6 595.0000 44514.045 4.44704297 6
#> 407 1941 3 629.0000 85793.566 3.24980390 3
#> 408 1942 3 969.0000 85793.566 3.24980390 3
#> 409 1943 6 0.0000 44514.045 4.44704297 6
#> 410 2002 3 8367.0000 85793.566 3.24980390 3
#> 411 2003 12 1913.0000 140472.000 0.00000000 0
#> 412 2004 12 17871.0000 140472.000 0.00000000 0
#> 413 2011 3 1708.0000 85793.566 3.24980390 3
#> 414 2012 12 14343.0000 140472.000 0.00000000 0
#> 415 2014 6 0.0000 44514.045 4.44704297 6
#> 416 2015 6 24.0000 44514.045 4.44704297 6
#> 417 2017 6 530.0000 44514.045 4.44704297 6
#> 418 2018 6 653.0000 44514.045 4.44704297 6
#> 419 2019 3 2742.0000 85793.566 3.24980390 3
#> 420 2020 3 0.0000 85793.566 3.24980390 3
#> 421 2021 3 4038.0000 85793.566 3.24980390 3
#> 422 2022 6 1667.0000 44514.045 4.44704297 6
#> 423 2023 6 1569.0000 44514.045 4.44704297 6
#> 424 2024 6 1048.0000 44514.045 4.44704297 6
#> 425 2025 6 1525.8906 44514.045 4.44704297 6
#> 426 2027 13 581.1183 2034267.118 0.07525468 1
#> 427 2028 3 1267.9198 85793.566 3.24980390 3
#> 428 2030 12 19083.0000 140472.000 0.00000000 0
#> Total_estimate Total_cv Total_nImputed
#> 1 2969525 0.1553433 25
#> 2 2969525 0.1553433 25
#> 3 2969525 0.1553433 25
#> 4 2969525 0.1553433 25
#> 5 2969525 0.1553433 25
#> 6 2969525 0.1553433 25
#> 7 2969525 0.1553433 25
#> 8 2969525 0.1553433 25
#> 9 2969525 0.1553433 25
#> 10 2969525 0.1553433 25
#> 11 2969525 0.1553433 25
#> 12 2969525 0.1553433 25
#> 13 2969525 0.1553433 25
#> 14 2969525 0.1553433 25
#> 15 2969525 0.1553433 25
#> 16 2969525 0.1553433 25
#> 17 2969525 0.1553433 25
#> 18 2969525 0.1553433 25
#> 19 2969525 0.1553433 25
#> 20 2969525 0.1553433 25
#> 21 2969525 0.1553433 25
#> 22 2969525 0.1553433 25
#> 23 2969525 0.1553433 25
#> 24 2969525 0.1553433 25
#> 25 2969525 0.1553433 25
#> 26 2969525 0.1553433 25
#> 27 2969525 0.1553433 25
#> 28 2969525 0.1553433 25
#> 29 2969525 0.1553433 25
#> 30 2969525 0.1553433 25
#> 31 2969525 0.1553433 25
#> 32 2969525 0.1553433 25
#> 33 2969525 0.1553433 25
#> 34 2969525 0.1553433 25
#> 35 2969525 0.1553433 25
#> 36 2969525 0.1553433 25
#> 37 2969525 0.1553433 25
#> 38 2969525 0.1553433 25
#> 39 2969525 0.1553433 25
#> 40 2969525 0.1553433 25
#> 41 2969525 0.1553433 25
#> 42 2969525 0.1553433 25
#> 43 2969525 0.1553433 25
#> 44 2969525 0.1553433 25
#> 45 2969525 0.1553433 25
#> 46 2969525 0.1553433 25
#> 47 2969525 0.1553433 25
#> 48 2969525 0.1553433 25
#> 49 2969525 0.1553433 25
#> 50 2969525 0.1553433 25
#> 51 2969525 0.1553433 25
#> 52 2969525 0.1553433 25
#> 53 2969525 0.1553433 25
#> 54 2969525 0.1553433 25
#> 55 2969525 0.1553433 25
#> 56 2969525 0.1553433 25
#> 57 2969525 0.1553433 25
#> 58 2969525 0.1553433 25
#> 59 2969525 0.1553433 25
#> 60 2969525 0.1553433 25
#> 61 2969525 0.1553433 25
#> 62 2969525 0.1553433 25
#> 63 2969525 0.1553433 25
#> 64 2969525 0.1553433 25
#> 65 2969525 0.1553433 25
#> 66 2969525 0.1553433 25
#> 67 2969525 0.1553433 25
#> 68 2969525 0.1553433 25
#> 69 2969525 0.1553433 25
#> 70 2969525 0.1553433 25
#> 71 2969525 0.1553433 25
#> 72 2969525 0.1553433 25
#> 73 2969525 0.1553433 25
#> 74 2969525 0.1553433 25
#> 75 2969525 0.1553433 25
#> 76 2969525 0.1553433 25
#> 77 2969525 0.1553433 25
#> 78 2969525 0.1553433 25
#> 79 2969525 0.1553433 25
#> 80 2969525 0.1553433 25
#> 81 2969525 0.1553433 25
#> 82 2969525 0.1553433 25
#> 83 2969525 0.1553433 25
#> 84 2969525 0.1553433 25
#> 85 2969525 0.1553433 25
#> 86 2969525 0.1553433 25
#> 87 2969525 0.1553433 25
#> 88 2969525 0.1553433 25
#> 89 2969525 0.1553433 25
#> 90 2969525 0.1553433 25
#> 91 2969525 0.1553433 25
#> 92 2969525 0.1553433 25
#> 93 2969525 0.1553433 25
#> 94 2969525 0.1553433 25
#> 95 2969525 0.1553433 25
#> 96 2969525 0.1553433 25
#> 97 2969525 0.1553433 25
#> 98 2969525 0.1553433 25
#> 99 2969525 0.1553433 25
#> 100 2969525 0.1553433 25
#> 101 2969525 0.1553433 25
#> 102 2969525 0.1553433 25
#> 103 2969525 0.1553433 25
#> 104 2969525 0.1553433 25
#> 105 2969525 0.1553433 25
#> 106 2969525 0.1553433 25
#> 107 2969525 0.1553433 25
#> 108 2969525 0.1553433 25
#> 109 2969525 0.1553433 25
#> 110 2969525 0.1553433 25
#> 111 2969525 0.1553433 25
#> 112 2969525 0.1553433 25
#> 113 2969525 0.1553433 25
#> 114 2969525 0.1553433 25
#> 115 2969525 0.1553433 25
#> 116 2969525 0.1553433 25
#> 117 2969525 0.1553433 25
#> 118 2969525 0.1553433 25
#> 119 2969525 0.1553433 25
#> 120 2969525 0.1553433 25
#> 121 2969525 0.1553433 25
#> 122 2969525 0.1553433 25
#> 123 2969525 0.1553433 25
#> 124 2969525 0.1553433 25
#> 125 2969525 0.1553433 25
#> 126 2969525 0.1553433 25
#> 127 2969525 0.1553433 25
#> 128 2969525 0.1553433 25
#> 129 2969525 0.1553433 25
#> 130 2969525 0.1553433 25
#> 131 2969525 0.1553433 25
#> 132 2969525 0.1553433 25
#> 133 2969525 0.1553433 25
#> 134 2969525 0.1553433 25
#> 135 2969525 0.1553433 25
#> 136 2969525 0.1553433 25
#> 137 2969525 0.1553433 25
#> 138 2969525 0.1553433 25
#> 139 2969525 0.1553433 25
#> 140 2969525 0.1553433 25
#> 141 2969525 0.1553433 25
#> 142 2969525 0.1553433 25
#> 143 2969525 0.1553433 25
#> 144 2969525 0.1553433 25
#> 145 2969525 0.1553433 25
#> 146 2969525 0.1553433 25
#> 147 2969525 0.1553433 25
#> 148 2969525 0.1553433 25
#> 149 2969525 0.1553433 25
#> 150 2969525 0.1553433 25
#> 151 2969525 0.1553433 25
#> 152 2969525 0.1553433 25
#> 153 2969525 0.1553433 25
#> 154 2969525 0.1553433 25
#> 155 2969525 0.1553433 25
#> 156 2969525 0.1553433 25
#> 157 2969525 0.1553433 25
#> 158 2969525 0.1553433 25
#> 159 2969525 0.1553433 25
#> 160 2969525 0.1553433 25
#> 161 2969525 0.1553433 25
#> 162 2969525 0.1553433 25
#> 163 2969525 0.1553433 25
#> 164 2969525 0.1553433 25
#> 165 2969525 0.1553433 25
#> 166 2969525 0.1553433 25
#> 167 2969525 0.1553433 25
#> 168 2969525 0.1553433 25
#> 169 2969525 0.1553433 25
#> 170 2969525 0.1553433 25
#> 171 2969525 0.1553433 25
#> 172 2969525 0.1553433 25
#> 173 2969525 0.1553433 25
#> 174 2969525 0.1553433 25
#> 175 2969525 0.1553433 25
#> 176 2969525 0.1553433 25
#> 177 2969525 0.1553433 25
#> 178 2969525 0.1553433 25
#> 179 2969525 0.1553433 25
#> 180 2969525 0.1553433 25
#> 181 2969525 0.1553433 25
#> 182 2969525 0.1553433 25
#> 183 2969525 0.1553433 25
#> 184 2969525 0.1553433 25
#> 185 2969525 0.1553433 25
#> 186 2969525 0.1553433 25
#> 187 2969525 0.1553433 25
#> 188 2969525 0.1553433 25
#> 189 2969525 0.1553433 25
#> 190 2969525 0.1553433 25
#> 191 2969525 0.1553433 25
#> 192 2969525 0.1553433 25
#> 193 2969525 0.1553433 25
#> 194 2969525 0.1553433 25
#> 195 2969525 0.1553433 25
#> 196 2969525 0.1553433 25
#> 197 2969525 0.1553433 25
#> 198 2969525 0.1553433 25
#> 199 2969525 0.1553433 25
#> 200 2969525 0.1553433 25
#> 201 2969525 0.1553433 25
#> 202 2969525 0.1553433 25
#> 203 2969525 0.1553433 25
#> 204 2969525 0.1553433 25
#> 205 2969525 0.1553433 25
#> 206 2969525 0.1553433 25
#> 207 2969525 0.1553433 25
#> 208 2969525 0.1553433 25
#> 209 2969525 0.1553433 25
#> 210 2969525 0.1553433 25
#> 211 2969525 0.1553433 25
#> 212 2969525 0.1553433 25
#> 213 2969525 0.1553433 25
#> 214 2969525 0.1553433 25
#> 215 2969525 0.1553433 25
#> 216 2969525 0.1553433 25
#> 217 2969525 0.1553433 25
#> 218 2969525 0.1553433 25
#> 219 2969525 0.1553433 25
#> 220 2969525 0.1553433 25
#> 221 2969525 0.1553433 25
#> 222 2969525 0.1553433 25
#> 223 2969525 0.1553433 25
#> 224 2969525 0.1553433 25
#> 225 2969525 0.1553433 25
#> 226 2969525 0.1553433 25
#> 227 2969525 0.1553433 25
#> 228 2969525 0.1553433 25
#> 229 2969525 0.1553433 25
#> 230 2969525 0.1553433 25
#> 231 2969525 0.1553433 25
#> 232 2969525 0.1553433 25
#> 233 2969525 0.1553433 25
#> 234 2969525 0.1553433 25
#> 235 2969525 0.1553433 25
#> 236 2969525 0.1553433 25
#> 237 2969525 0.1553433 25
#> 238 2969525 0.1553433 25
#> 239 2969525 0.1553433 25
#> 240 2969525 0.1553433 25
#> 241 2969525 0.1553433 25
#> 242 2969525 0.1553433 25
#> 243 2969525 0.1553433 25
#> 244 2969525 0.1553433 25
#> 245 2969525 0.1553433 25
#> 246 2969525 0.1553433 25
#> 247 2969525 0.1553433 25
#> 248 2969525 0.1553433 25
#> 249 2969525 0.1553433 25
#> 250 2969525 0.1553433 25
#> 251 2969525 0.1553433 25
#> 252 2969525 0.1553433 25
#> 253 2969525 0.1553433 25
#> 254 2969525 0.1553433 25
#> 255 2969525 0.1553433 25
#> 256 2969525 0.1553433 25
#> 257 2969525 0.1553433 25
#> 258 2969525 0.1553433 25
#> 259 2969525 0.1553433 25
#> 260 2969525 0.1553433 25
#> 261 2969525 0.1553433 25
#> 262 2969525 0.1553433 25
#> 263 2969525 0.1553433 25
#> 264 2969525 0.1553433 25
#> 265 2969525 0.1553433 25
#> 266 2969525 0.1553433 25
#> 267 2969525 0.1553433 25
#> 268 2969525 0.1553433 25
#> 269 2969525 0.1553433 25
#> 270 2969525 0.1553433 25
#> 271 2969525 0.1553433 25
#> 272 2969525 0.1553433 25
#> 273 2969525 0.1553433 25
#> 274 2969525 0.1553433 25
#> 275 2969525 0.1553433 25
#> 276 2969525 0.1553433 25
#> 277 2969525 0.1553433 25
#> 278 2969525 0.1553433 25
#> 279 2969525 0.1553433 25
#> 280 2969525 0.1553433 25
#> 281 2969525 0.1553433 25
#> 282 2969525 0.1553433 25
#> 283 2969525 0.1553433 25
#> 284 2969525 0.1553433 25
#> 285 2969525 0.1553433 25
#> 286 2969525 0.1553433 25
#> 287 2969525 0.1553433 25
#> 288 2969525 0.1553433 25
#> 289 2969525 0.1553433 25
#> 290 2969525 0.1553433 25
#> 291 2969525 0.1553433 25
#> 292 2969525 0.1553433 25
#> 293 2969525 0.1553433 25
#> 294 2969525 0.1553433 25
#> 295 2969525 0.1553433 25
#> 296 2969525 0.1553433 25
#> 297 2969525 0.1553433 25
#> 298 2969525 0.1553433 25
#> 299 2969525 0.1553433 25
#> 300 2969525 0.1553433 25
#> 301 2969525 0.1553433 25
#> 302 2969525 0.1553433 25
#> 303 2969525 0.1553433 25
#> 304 2969525 0.1553433 25
#> 305 2969525 0.1553433 25
#> 306 2969525 0.1553433 25
#> 307 2969525 0.1553433 25
#> 308 2969525 0.1553433 25
#> 309 2969525 0.1553433 25
#> 310 2969525 0.1553433 25
#> 311 2969525 0.1553433 25
#> 312 2969525 0.1553433 25
#> 313 2969525 0.1553433 25
#> 314 2969525 0.1553433 25
#> 315 2969525 0.1553433 25
#> 316 2969525 0.1553433 25
#> 317 2969525 0.1553433 25
#> 318 2969525 0.1553433 25
#> 319 2969525 0.1553433 25
#> 320 2969525 0.1553433 25
#> 321 2969525 0.1553433 25
#> 322 2969525 0.1553433 25
#> 323 2969525 0.1553433 25
#> 324 2969525 0.1553433 25
#> 325 2969525 0.1553433 25
#> 326 2969525 0.1553433 25
#> 327 2969525 0.1553433 25
#> 328 2969525 0.1553433 25
#> 329 2969525 0.1553433 25
#> 330 2969525 0.1553433 25
#> 331 2969525 0.1553433 25
#> 332 2969525 0.1553433 25
#> 333 2969525 0.1553433 25
#> 334 2969525 0.1553433 25
#> 335 2969525 0.1553433 25
#> 336 2969525 0.1553433 25
#> 337 2969525 0.1553433 25
#> 338 2969525 0.1553433 25
#> 339 2969525 0.1553433 25
#> 340 2969525 0.1553433 25
#> 341 2969525 0.1553433 25
#> 342 2969525 0.1553433 25
#> 343 2969525 0.1553433 25
#> 344 2969525 0.1553433 25
#> 345 2969525 0.1553433 25
#> 346 2969525 0.1553433 25
#> 347 2969525 0.1553433 25
#> 348 2969525 0.1553433 25
#> 349 2969525 0.1553433 25
#> 350 2969525 0.1553433 25
#> 351 2969525 0.1553433 25
#> 352 2969525 0.1553433 25
#> 353 2969525 0.1553433 25
#> 354 2969525 0.1553433 25
#> 355 2969525 0.1553433 25
#> 356 2969525 0.1553433 25
#> 357 2969525 0.1553433 25
#> 358 2969525 0.1553433 25
#> 359 2969525 0.1553433 25
#> 360 2969525 0.1553433 25
#> 361 2969525 0.1553433 25
#> 362 2969525 0.1553433 25
#> 363 2969525 0.1553433 25
#> 364 2969525 0.1553433 25
#> 365 2969525 0.1553433 25
#> 366 2969525 0.1553433 25
#> 367 2969525 0.1553433 25
#> 368 2969525 0.1553433 25
#> 369 2969525 0.1553433 25
#> 370 2969525 0.1553433 25
#> 371 2969525 0.1553433 25
#> 372 2969525 0.1553433 25
#> 373 2969525 0.1553433 25
#> 374 2969525 0.1553433 25
#> 375 2969525 0.1553433 25
#> 376 2969525 0.1553433 25
#> 377 2969525 0.1553433 25
#> 378 2969525 0.1553433 25
#> 379 2969525 0.1553433 25
#> 380 2969525 0.1553433 25
#> 381 2969525 0.1553433 25
#> 382 2969525 0.1553433 25
#> 383 2969525 0.1553433 25
#> 384 2969525 0.1553433 25
#> 385 2969525 0.1553433 25
#> 386 2969525 0.1553433 25
#> 387 2969525 0.1553433 25
#> 388 2969525 0.1553433 25
#> 389 2969525 0.1553433 25
#> 390 2969525 0.1553433 25
#> 391 2969525 0.1553433 25
#> 392 2969525 0.1553433 25
#> 393 2969525 0.1553433 25
#> 394 2969525 0.1553433 25
#> 395 2969525 0.1553433 25
#> 396 2969525 0.1553433 25
#> 397 2969525 0.1553433 25
#> 398 2969525 0.1553433 25
#> 399 2969525 0.1553433 25
#> 400 2969525 0.1553433 25
#> 401 2969525 0.1553433 25
#> 402 2969525 0.1553433 25
#> 403 2969525 0.1553433 25
#> 404 2969525 0.1553433 25
#> 405 2969525 0.1553433 25
#> 406 2969525 0.1553433 25
#> 407 2969525 0.1553433 25
#> 408 2969525 0.1553433 25
#> 409 2969525 0.1553433 25
#> 410 2969525 0.1553433 25
#> 411 2969525 0.1553433 25
#> 412 2969525 0.1553433 25
#> 413 2969525 0.1553433 25
#> 414 2969525 0.1553433 25
#> 415 2969525 0.1553433 25
#> 416 2969525 0.1553433 25
#> 417 2969525 0.1553433 25
#> 418 2969525 0.1553433 25
#> 419 2969525 0.1553433 25
#> 420 2969525 0.1553433 25
#> 421 2969525 0.1553433 25
#> 422 2969525 0.1553433 25
#> 423 2969525 0.1553433 25
#> 424 2969525 0.1553433 25
#> 425 2969525 0.1553433 25
#> 426 2969525 0.1553433 25
#> 427 2969525 0.1553433 25
#> 428 2969525 0.1553433 25