Hi! Try something like this:
subset(example, disease==TRUE) subset(example, disease==FALSE) On Mon, Sep 12, 2011 at 4:54 AM, C.H. <chainsawti...@gmail.com> wrote: > Dear R experts, > > Suppose I have an data frame likes this: > > > example <- data.frame(age=c(1,2,3, 4,5,6), > height=c(100,110,120,130,140,150), disease=c(TRUE, TRUE, TRUE, FALSE, FALSE, > FALSE)) > > > example > age height disease > 1 1 100 TRUE > 2 2 110 TRUE > 3 3 120 TRUE > 4 4 130 FALSE > 5 5 140 FALSE > 6 6 150 FALSE > > Is there anyway to compare the age and height between those with > disease=TRUE and disease=FALSE using t.test and extract the p-values > quickly? > > I can do this individually > > t.test(example$age~example$disease)[3] > > But when the number of variable grow to something like 200 it is not > easy any more. > > Thanks! > > Regards, > > CH > > -- > CH Chan > > ______________________________________________ > 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. > -- Atenciosamente, Raphael Saldanha saldanha.plan...@gmail.com [[alternative HTML version deleted]] ______________________________________________ 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.
