Re: [R] Multiple t.test

2011-09-12 Thread Greg Snow
enter Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > project.org] On Behalf Of C.H. > Sent: Monday, September 12, 2011 1:54 AM > To: R-help > Subject: [R] Multiple t.test > >

Re: [R] Multiple t.test

2011-09-12 Thread Mihovil Pletikos
Thank you for your help Yes i wanted to do the t test for all columns except for the grouping column. 2011/9/12 Uwe Ligges > > > On 12.09.2011 13:16, Raphael Saldanha wrote: > >> Hi! >> >> Try something like this: >> >> subset(example, disease==TRUE) >> subset(example, disease==FALSE)

Re: [R] Multiple t.test

2011-09-12 Thread Uwe Ligges
On 12.09.2011 13:16, Raphael Saldanha wrote: Hi! Try something like this: subset(example, disease==TRUE) subset(example, disease==FALSE) Hmmm, I think the actual answer to the question is something along this line: sapply(example[names(example)!="disease"], function(x) t.test(x ~

Re: [R] Multiple t.test

2011-09-12 Thread Raphael Saldanha
Hi! Try something like this: subset(example, disease==TRUE) subset(example, disease==FALSE) On Mon, Sep 12, 2011 at 4:54 AM, C.H. 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

[R] Multiple t.test

2011-09-12 Thread C.H.
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 1100TRUE 2 2110TRUE 3 3120TRUE 4 4130