dsldFrequencyByS {dsld} | R Documentation |
dsldFrequencyByS
Description
Informal assessment of C as a possible confounder in a relationship between a sensitive variable S and a variable Y.
Usage
dsldFrequencyByS(data, cName, sName)
Arguments
data |
Data frame or equivalent. |
cName |
Name of the "C" column, an R factor. |
sName |
Name of the sensitive variable column, an R factor |
Details
Essentially an informal assessment of the between S and C.
Consider the svcensus
dataset. If for instance we are studying
the effect of gender S on wage income Y, say C is occupation. If
different genders have different occupation patterns, then C is a
potential confounder. (Y does not explicitly appear here.)
Value
Data frame, one for each level of the sensitive variable S, and one column for each level of the confounder C. Each row sums to 1.0.
Author(s)
N. Matloff, T. Abdullah, A. Ashok, J. Tran
Examples
data(svcensus)
dsldFrequencyByS(svcensus, cName = "educ", sName = "gender")
# not much difference in education between genders
dsldFrequencyByS(svcensus, cName = "occ", sName = "gender")
# substantial difference in occupation between genders
data(lsa)
lsa$faminc <- as.factor(lsa$fam_inc)
dsldFrequencyByS(lsa,'faminc','race1')
# distribution of family income by race
[Package dsld version 0.2.2 Index]