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

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.

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.

Value

the modified sdcMicroObj-class

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.

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. 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. doi:10.1007/978-3-319-50272-4 doi:10.1007/978-3-319-50272-4

Author

Bernhard Meindl

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"))