Dear R-experts,
Here below, my R code working BUT I get a strange result I was not expecting!
Indeed, the 95% percentile bootstrap CIs is (-54.81, -54.81 ). Is anything
going wrong?
Best,
##########################################
Score=c(345,564,467,675,432,346,476,512,567,543,234,435,654,411,356,658,432,345,432,345,
345,456,543,501)
Country=c("Italy", "Italy", "Italy", "Turkey", "Turkey", "Turkey", "USA",
"USA", "USA", "Korea", "Korea", "Korea", "Portugal", "Portugal", "Portugal",
"UK", "UK", "UK", "Poland", "Poland", "Poland", "Austria", "Austria", "Austria")
Time=c(1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3,1,2,3)
e=data.frame(Score, Country, Time)
library(boot)
func= function(data, idx) {
coef(lm(Score~ Time + factor(Country)),data=data[idx,])
}
B= boot(e, func, R=1000)
boot.ci(B, index=2, type="perc")
#############################################################
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