groupAndRename: Join levels of a variables in an object of class...

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

Join levels of a variables in an object of class sdcMicroObj-class or factor or data.frame

Description

If the input is an object of class sdcMicroObj-class, the specified factor-variable is recoded into a factor with less levels and risk-measures are automatically recomputed.

Usage

groupAndRename(obj, var, before, after, addNA = FALSE)

Arguments

obj	object of class sdcMicroObj-class
var	name of the keyVariable to change
before	vector of levels before recoding
after	name of new level after recoding
addNA	logical, if TRUE missing values in the input variables are added to the level specified in argument after.

Details

If the input is of class data.frame, the result is a data.frame with a modified column specified by var.

If the input is of class factor, the result is a factor with different levels.

Value

the modified sdcMicroObj-class

Author(s)

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")}

Examples

## for objects of class sdcMicro:
data(testdata2)
testdata2$urbrur <- as.factor(testdata2$urbrur)
sdc <- createSdcObj(testdata2,
  keyVars=c('urbrur','roof','walls','water','electcon','relat','sex'),
  numVars=c('expend','income','savings'), w='sampling_weight')
sdc <- groupAndRename(sdc, var="urbrur", before=c("1","2"), after=c("1"))

sdcMicro documentation built on Sept. 27, 2023, 5:07 p.m.