| To: | Luis Apiolaza <luis.apiolaza@forestrytas.com.au> |
|---|---|
| Subject: | Re: Using apply for functions with more than one argument |
| From: | Sarah Goslee <sarah.goslee@gmail.com> |
| Date: | Tue, 7 Jun 2005 08:39:26 -0400 |
| Cc: | s-news@lists.biostat.wustl.edu |
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| In-reply-to: | <s2a5b886.096@ft-gateway.forestrytas.com.au> |
| References: | <s2a5b886.096@ft-gateway.forestrytas.com.au> |
| Reply-to: | Sarah Goslee <sarah.goslee@gmail.com> |
On 6/7/05, Luis Apiolaza <luis.apiolaza@forestrytas.com.au> wrote:
> All examples that I have seen for 'apply' use functions with only a
> single argument. Is there a more general way of using apply for more
> complex functions? I just want to avoid using an explicit loop.
Did you look at the help for apply?
It gives an example for what you are trying to do.
x <- cbind(x1 = 3, x2 = c(4:1, 2:5))
##- function with extra args:
cave <- function(x, c1,c2) c(mean(x[c1]),mean(x[c2]))
apply(x,1, cave, c1="x1", c2=c("x1","x2"))
You do need to provide an argument x to your function even if you
don't use it, because of the way apply functions. I think.
Sarah
--
Sarah Goslee
http://www.stringpage.com
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