stdz produces a standardized copy of any input variable. It can also standardize a weighted variable to produce a copy of the original variable standardized around its weighted mean and variance.
stdz(x, weight=NULL)A vector of length equal to x with a (weighted) mean of zero and a (weighted) standard deviation of 1.
x should be a numerical vector which the researcher wishes to standardize.
weight is an optional vector of weights to be used to determining the weighted mean and variance for standardization.
Josh Pasek, Professor of Communication & Media and Political Science at the University of Michigan (www.joshpasek.com).
wtd.cor
wtd.chi.sq
wtd.t.test
test <- c(1,1,1,1,1,1,2,2,2,3,3,3,4,4)
weight <- c(.5,.5,.5,.5,.5,1,1,1,1,2,2,2,2,2)
summary(stdz(test))
summary(stdz(test, weight))
Hmisc::wtd.mean(stdz(test, weight), weight)
Hmisc::wtd.var(stdz(test, weight), weight)
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