Rounding after suppression
PLSroundingSuppressed.Rd
Within PLSrounding
within the current function, the suppressed combinations are not treated as publishable and
are not in output from that function, but they are in output from the current function as suppressed cells.
Usage
PLSroundingSuppressed(
data,
freqVar,
dataSuppressed = NULL,
hierarchies = NULL,
formula = NULL,
numVar = NULL,
output = "data.frame",
printPLSrounded = FALSE,
rndSeed = 123,
allowTotal = FALSE,
...
)
Arguments
- data
Input data as a data frame (inner cells)
- freqVar
Variable holding counts (inner cells frequencies)
- dataSuppressed
Data frame specifying combinations to be suppressed
- hierarchies
List of hierarchies
- formula
A model formula
- numVar
Other numerical variables to be aggregated
- output
If not "data.frame" (default), more content in output
- printPLSrounded
When TRUE, output from print
PLSrounding
within the function is printed- rndSeed
If non-NULL, a random generator seed to be used locally within the function without affecting the random value stream in R.
- allowTotal
When TRUE, no suppression when other variables are
"Total"
.- ...
Further parameters sent to
PLSrounding
within the function is printed
Examples
z1 <- SmallCountRounding::SmallCountData("z1")
sup <- GaussSuppression::GaussSuppressionFromData(z1, 1:2, 3)
#> GaussSuppression_anySum: ..........................................
sup <- sup[sup$suppressed, !(names(sup) %in% c("ant", "primary", "suppressed"))]
a <- PLSroundingSuppressed(z1, "ant", sup, roundBase = 20)
aNoSuppression <- PLSroundingSuppressed(z1, "ant", roundBase = 20)
z3 <- SmallCountRounding::SmallCountData("z3")
sup <- GaussSuppression::GaussSuppressionFromData(z3, c(1, 2, 4), 7)
#> GaussSuppression_anySum: ...........................
sup <- sup[sup$suppressed, !(names(sup) %in% c("ant", "primary", "suppressed"))]
b <- PLSroundingSuppressed(z3[, -c(3, 6)], "ant", sup, roundBase = 3)
if (FALSE) {
if (require(easySdcTable)) {
sup <- ProtectTable(EasyData("z1"), 1:2, 3, method = "Gauss")$data
sup <- sup[is.na(sup$suppressed), !(names(sup) %in% c("freq", "sdcStatus", "suppressed"))]
a_ <- PLSroundingSuppressed(z1, "ant", sup, roundBase = 20)
print(identical(a, a_))
sup <- ProtectTable(EasyData("z3"), c(1, 2, 4), 7, method = "Gauss")$data
sup <- sup[is.na(sup$suppressed), !(names(sup) %in% c("freq", "sdcStatus", "suppressed"))]
b_ <- PLSroundingSuppressed(z3[, -c(3, 6)], "ant", sup, roundBase = 3)
print(identical(b, b_))
}
}