Hi!

Try something like this:

subset(example, disease==TRUE)
subset(example, disease==FALSE)


On Mon, Sep 12, 2011 at 4:54 AM, C.H. <chainsawtiney@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
>
> ______________________________________________
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> 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.plangeo@gmail.com

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