It depends on what you are assigning. A simple example of assigning the values
1 through 100:
mylist <- lapply(1:100, I)
names(mylist) <- paste('var',1:100, sep='')
Or if you have 100 files named dat1.txt, dat2.txt, ..., dat100.txt and you want
to read them in:
mylist <- lapply( paste('dat', 1:100, '.txt', sep=''), function(fname)
read.table(fname, header=TRUE) )
names(mylist) <- paste('dat',1:100, sep='')
if I want to use dataset 1 I can do it with:
> mylist$dat1
Or
> mylist[['dat1']]
Or
> milyst[[1]]
Then if I want to do the same regression on each of the 100 datasets (assuming
the names are the same) I can do that with a simple:
out1 <- lapply( mylist, function(dat) lm( y ~ x, data=dat ) )
then maybe I want all the slopes in a single vector:
slopes <- sapply( out1, function(fit) coef(fit)[1] )
hope this helps,
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
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 hypermonkey22
> Sent: Wednesday, February 02, 2011 4:57 PM
> To: r-help@r-project.org
> Subject: Re: [R] looping variable names
>
>
> Thanks for the reply!
>
> This sounds great. Is there a nice way to store these 100 variable
> names in
> a list without typing them all out?
> --
> View this message in context: http://r.789695.n4.nabble.com/looping-
> variable-names-tp3255711p3256356.html
> Sent from the R help mailing list archive at Nabble.com.
>
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