boot.sd2 | R Documentation |
Calculates the bootstrap standard errors.
boot.sd2(x, weight, k, alpha, nsim, boot.index = c("r.cha", "r.fgt"), gamma)
x |
income vector |
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 |
boot.ind |
vector of bootstraped index |
Alicja Wolny-Dominiak
Brzezinski M. (2010) Income affluence in Poland. Social Indicators Research, 99, pp. 285-299.
data(affluence)
boot.sd2(affluence$income, weight = NULL, 2, 2, 10, "r.cha", 0.95)
boot.sd2(affluence$income, weight = NULL, 2, 2, 10, "r.fgt", 0.95)
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