[R] Speed up studentized confidence intervals ?
varin sacha
v@r|n@@ch@ @end|ng |rom y@hoo@|r
Sun Dec 19 12:45:38 CET 2021
Dear R-experts,
Here below my R code working but really really slowly ! I need 2 hours with my computer to finally get an answer ! Is there a way to improve my R code to speed it up ? At least to win 1 hour ;=)
Many thanks
########################################################
library(boot)
s<- sample(178:798, 100000, replace=TRUE)
mean(s)
N <- 1000
out <- replicate(N, {
a<- sample(s,size=5)
mean(a)
dat<-data.frame(a)
med<-function(d,i) {
temp<-d[i,]
f<-mean(temp)
g<-var(replicate(50,mean(sample(temp,replace=T))))
return(c(f,g))
}
boot.out <- boot(data = dat, statistic = med, R = 10000)
boot.ci(boot.out, type = "stud")$stud[, 4:5]
})
mean(out[1,] < mean(s) & mean(s) < out[2,])
########################################################
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