globalRecode: Global Recoding

In sdcTools/sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Global Recoding

Description

Global recoding of variables

Usage

globalRecode(obj, ...)

Arguments

obj

a numeric vector, a data.frame or an object of class sdcMicroObj-class

...

see possible arguments below column: which keyVar should be changed. Character vector of length 1 specifying the variable name that should be recoded (required if obj is a data.frame or an object of class sdcMicroObj-class. breaks: either a numeric vector of cut points or number giving the number of intervals which x is to be cut into. labels: labels for the levels of the resulting category. By default, labels are constructed using "(a,b]" interval notation. If labels = FALSE, simple integer codes are returned instead of a factor. method: The following arguments are supported: “equidistant:” for equal sized intervalls “logEqui:” for equal sized intervalls for log-transformed data “equalAmount:” for intervalls with approxiomately the same amount of observations

Details

If a labels parameter is specified, its values are used to name the factor levels. If none is specified, the factor level labels are constructed.

Value

the modified sdcMicroObj-class or a factor, unless labels = FALSE which results in the mere integer level codes.

Note

globalRecode can not be applied to vectors stored as factors from sdcMicro >= 4.7.0!

Author(s)

Matthias Templ and Bernhard Meindl

References

Templ, M. and Kowarik, A. and Meindl, B. Statistical Disclosure Control for Micro-Data Using the R Package sdcMicro. Journal of Statistical Software, 67 (4), 1–36, 2015. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v067.i04")}

Templ, M. Statistical Disclosure Control for Microdata: Methods and Applications in R. Springer International Publishing, 287 pages, 2017. ISBN 978-3-319-50272-4. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-319-50272-4")} \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-319-50272-4")}

See Also

cut

Examples

data(free1)
free1 <- as.data.frame(free1)

## application to a vector
head(globalRecode(free1$AGE, breaks=c(1,9,19,29,39,49,59,69,100), labels=1:8))
table(globalRecode(free1$AGE, breaks=c(1,9,19,29,39,49,59,69,100), labels=1:8))

## application to a data.frame
# automatic labels
table(globalRecode(free1, column="AGE", breaks=c(1,9,19,29,39,49,59,69,100))$AGE)

## calculation of brea-points using different algorithms
table(globalRecode(free1$AGE, breaks=6))
table(globalRecode(free1$AGE, breaks=6, method="logEqui"))
table(globalRecode(free1$AGE, breaks=6, method="equalAmount"))

## for objects of class sdcMicro:
data(testdata2)
sdc <- createSdcObj(testdata2,
  keyVars=c('urbrur','roof','walls','water','electcon','relat','sex'),
  numVars=c('expend','income','savings'), w='sampling_weight')
sdc <- globalRecode(sdc, column="water", breaks=3)
table(get.sdcMicroObj(sdc, type="manipKeyVars")$water)

sdcTools/sdcMicro documentation built on March 15, 2024, 12:32 p.m.