boot.sd2.sub | R Documentation |
Calculates the bootstrap standard errors in subpopulation.
boot.sd2.sub(x.sub,x,weight.sub,weight,k,alpha,nsim,boot.index=c("r.cha","r.fgt"),gamma)
x |
income vector of subpopulation |
x.sub |
income vector of population |
weight.sub |
weight vector of subpopulation |
weight |
weight vector of population |
k |
multiple of the median income |
alpha |
parameter of the index: |
nsim |
the number of replications |
boot.index |
the index for which the error is estimated |
gamma |
confidence level |
The function uses quantile method of calculating bootstrap confidence intervals.
se.r |
the bootstrap error |
summary |
bootstrap summary |
Alicja Wolny-Dominiak
Brzezinski M. (2010) Income affluence in Poland. Social Indicators Research, 99, pp. 285-299.
data(affluence)
affluence$weight <- rep(1, nrow(affluence))
aff.sub <- subset(affluence, education == 2)
x <- aff.sub$income
boot.sd2.sub(x, affluence$income, aff.sub$weight, affluence$weight, 2, 2, 10, "r.cha", 0.95)
boot.sd2.sub(x, affluence$income, aff.sub$weight, affluence$weight, 2, 2, 10, "r.fgt", 0.95)
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