On Wed, Oct 31, 2007 at 03:56:37PM -0400, Zembower, Kevin wrote: > I'm looking for a function in R similar to t.test() which was generously > pointed out to me yesterday, but which can be used for normally > distributed data. ... > > x100<-sample(x, 100, replace=TRUE) > > I think that I should be able to use a normal distribution, because of > the n>30 rule-of-thumb. > > I can compute the 95% CI using: > > mean(x100) - qnorm(alpha/2)*sd(x100)/sqrt(length(x100))
You can compute quantiles of the particular normal distribution itself rather than transforming from the standardized normal by hand. qnorm(c(.025,.975),mean=mean(x100),sd=sd(x100)/sqrt(length(x100))) -- Daniel Lakeland [EMAIL PROTECTED] http://www.street-artists.org/~dlakelan ______________________________________________ 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.
