Preliminary function
Usage
RangeLimitsDefault(
...,
rangePercent = 0,
rangeMin = 0,
primary,
num,
freq,
freqVar,
dominanceVar = NULL,
intervalVar = NULL
)Arguments
- ...
Unused parameters
- rangePercent
Required interval width expressed as a percentage
- rangeMin
Minimum required width of the interval
- primary
primary
- num
num
- freq
freq
- freqVar
freqVar
- dominanceVar
dominanceVar
- intervalVar
Numerical variable(s) for interval calculations. When
NULL,dominanceVar, firstnumVarorfreqVarwill be used.
Examples
dat <- SSBtoolsData("magnitude1")
dat["num2"] <- 1:nrow(dat)
SuppressDominantCells(data = dat,
numVar = "value",
formula = ~sector2 * geo + sector4 * eu,
contributorVar = "company",
n = 1:2, k = c(80, 99),
output = RangeOutputFunction, rangePercent = 10, rangeMin = 1)
#> [preAggregate 20*7->20*7]
#> [extraAggregate 20*7->10*7] Checking .....
#> GaussSuppression_numttHTT: .........:::::
#> geo sector4 freq value rlim_value primary suppressed
#> 1 Total Total 20 462.3 NA FALSE FALSE
#> 2 Total private 16 429.5 NA FALSE FALSE
#> 3 Total public 4 32.8 NA FALSE FALSE
#> 4 Iceland Total 4 37.1 NA FALSE FALSE
#> 5 Portugal Total 8 162.5 NA FALSE FALSE
#> 6 Spain Total 8 262.7 NA FALSE FALSE
#> 7 Total Agriculture 4 240.2 24.02 TRUE TRUE
#> 8 Total Entertainment 6 131.5 NA FALSE FALSE
#> 9 Total Governmental 4 32.8 NA FALSE FALSE
#> 10 Total Industry 6 57.8 NA FALSE TRUE
#> 11 EU Total 16 425.2 NA FALSE FALSE
#> 12 nonEU Total 4 37.1 NA FALSE FALSE
#> 13 Iceland private 4 37.1 NA FALSE FALSE
#> 14 Portugal private 6 138.9 NA FALSE TRUE
#> 15 Spain private 6 253.5 NA FALSE TRUE
#> 16 Portugal public 2 23.6 2.36 TRUE TRUE
#> 17 Spain public 2 9.2 1.00 TRUE TRUE
#> 18 EU Agriculture 4 240.2 24.02 TRUE TRUE
#> 19 EU Entertainment 5 114.7 NA FALSE TRUE
#> 20 nonEU Entertainment 1 16.8 1.68 TRUE TRUE
#> 21 EU Governmental 4 32.8 NA FALSE FALSE
#> 22 EU Industry 3 37.5 NA FALSE TRUE
#> 23 nonEU Industry 3 20.3 NA FALSE TRUE
SuppressDominantCells(data = dat,
numVar = c("value", "num2"),
formula = ~sector2 * geo + sector4 * eu,
contributorVar = "company",
n = 1:2, k = c(80, 99),
output = RangeOutputFunction,
intervalVar = c("value","freq", "num2"),
rangePercent = c(10, 10, 30), rangeMin = c(1, 0.2222, 2.222))
#> [preAggregate 20*7->20*8]
#> Warning: Multiple numVar were supplied, only the first is used in candidates function.
#> Warning: Multiple numVar were supplied, only the first is suppressed.
#> [extraAggregate 20*8->10*8] Checking .....
#> GaussSuppression_numttHTT: .........:::::
#> geo sector4 freq value num2 rlim_value rlim_freq rlim_num2
#> 1 Total Total 20 462.3 210 NA NA NA
#> 2 Total private 16 429.5 160 NA NA NA
#> 3 Total public 4 32.8 50 NA NA NA
#> 4 Iceland Total 4 37.1 53 NA NA NA
#> 5 Portugal Total 8 162.5 76 NA NA NA
#> 6 Spain Total 8 262.7 81 NA NA NA
#> 7 Total Agriculture 4 240.2 10 24.02 0.4000 3.000
#> 8 Total Entertainment 6 131.5 45 NA NA NA
#> 9 Total Governmental 4 32.8 50 NA NA NA
#> 10 Total Industry 6 57.8 105 NA NA NA
#> 11 EU Total 16 425.2 157 NA NA NA
#> 12 nonEU Total 4 37.1 53 NA NA NA
#> 13 Iceland private 4 37.1 53 NA NA NA
#> 14 Portugal private 6 138.9 53 NA NA NA
#> 15 Spain private 6 253.5 54 NA NA NA
#> 16 Portugal public 2 23.6 23 2.36 0.2222 6.900
#> 17 Spain public 2 9.2 27 1.00 0.2222 8.100
#> 18 EU Agriculture 4 240.2 10 24.02 0.4000 3.000
#> 19 EU Entertainment 5 114.7 40 NA NA NA
#> 20 nonEU Entertainment 1 16.8 5 1.68 0.2222 2.222
#> 21 EU Governmental 4 32.8 50 NA NA NA
#> 22 EU Industry 3 37.5 57 NA NA NA
#> 23 nonEU Industry 3 20.3 48 NA NA NA
#> primary suppressed
#> 1 FALSE FALSE
#> 2 FALSE FALSE
#> 3 FALSE FALSE
#> 4 FALSE FALSE
#> 5 FALSE FALSE
#> 6 FALSE FALSE
#> 7 TRUE TRUE
#> 8 FALSE FALSE
#> 9 FALSE FALSE
#> 10 FALSE TRUE
#> 11 FALSE FALSE
#> 12 FALSE FALSE
#> 13 FALSE FALSE
#> 14 FALSE TRUE
#> 15 FALSE TRUE
#> 16 TRUE TRUE
#> 17 TRUE TRUE
#> 18 TRUE TRUE
#> 19 FALSE TRUE
#> 20 TRUE TRUE
#> 21 FALSE FALSE
#> 22 FALSE TRUE
#> 23 FALSE TRUE