Dear R group, I have some question regarding bootstrapping in R. I wish to use independent samples bootstrapped T-test. I would like to know: 1 how I can calculate p and t values.2. for means and CI of each sample, should I report the bootstrapped mean and CI of each group? and not the ones obtained from t-test?
I used the following code with regard to t-test (t value and p value), So, I wonder if it is correct with regard to t and p values? AVGMR=Names_first_last$`Avg_ Readars-Mendeley` B <- 1000 t.star = numeric(B) t.vect <- vector(length=B) p.vect <- vector(length=B) for(i in 1:B){ boot.c <- sample(subset(AVGMR, Gender==1), replace=T) boot.c <- sample(subset(AVGMR, Gender==2), replace=T) ttest <- t.test(boot.c, boot.p) t.vect[i] <- ttest$statistic p.vect[i] <- ttest$p.value } I would be really grateful if you could please help me with regard to my both questions. Kind regards, Tahereh Dehdarirad, PhD Department of Library and Information Science University of Barcelona, Spain [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.