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2009 May 26
0
Bootstrapping and estimation of standard error
...ad-count index (as one of the simplest measures of poverty) which is calculated as a proportion: q/n, where q is the number of poor and n is the size of population. This can be easily programmed e. g. as: headcount <- function(x=1:10) { y <- x[x < 90000] H <- (length(y)/length(x)) c(h_index = H) } There are probably also other ways how to do it, but I'm just the beginner :-) . (FYI: x is the vector of income data and 90000 is the poverty line). Then one of possibilities how to estimate the standard deviation is bootstrapping. I found a simple program: resamples.h <- lappl...