Inverse cumulative probability
Hello all, (First of all, I'd like to thank all who replied to my previous question. I have never encountered such a helpful community before. Thanks for making a R so welcoming.) To calculate a quantile for normal distributions, one simply uses qnorm(1-a). But if I would want to do the same for a t-test function, how would I go about doing that? Is there a simple way to do it? (Yes, I could look in a table, but it's the procedure I'm looking for, not the values :-) I'm studying interference theory, and we got a few exercises to solve in MiniTab. That was pretty simple, but now I want to solve them in R instead (this is not a part of the course, so you won't be helping me with my home work).
Kind Regards, Jan Danielsson Te audire non possum. Musa sapientum fixa est in aure. -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 187 bytes Desc: OpenPGP digital signature Url : https://stat.ethz.ch/pipermail/r-help/attachments/20060214/f75c5648/signature.bin