Hello. How can I compute the Bootstrap p-value for a two-sided test problem like H_0: beta=0 vs. H_1: beta!=0 ?
Example for the sample mean: x <- rnorm(100) bootsample <- numeric(1000) for(i in 1:1000) { idx <- sample(1:100,100,replace=TRUE) bootsample[i] <- mean(x[idx]) } How can I compute the Bootstrap p-value for the mean of x? H_0: "mean of x" = 0 vs. H_1: "mean of x" != 0 Thank you in advance. Sincerely, Andreas Klein. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.