Hi:
This is basically Scott's idea with a few added details.
Let's assume your files have similar names - e.g., they differ only by
number.
The example below creates ten files of similar structure to yours. There are
then two paths one can follow: (1) put all the files into a specific
directory,
Hi Richard, This may be a bit ugly, but it should work if you have all your
files in a folder you are calling from. Use dir() within the lapply call in
combination with read.table as the function
require(plyr)
setwd("/Mac/R_stuff/files") # where your files are in this directory, and no
files y
Hi Richard,
If you haven't tried it already, maybe you could
read the files into separate data frames with
read.table(), and then combine them with merge().
Type
?merge
to learn more.
Good luck,
Kingsley
On 03/05/11 18:39, Richard Green wrote:
> Hello R users,
> I am fairly new to R and w
Hello R users,
I am fairly new to R and was hoping you could point me in the right
direction I have a set of text files (36).
Each file has only two columns (id and count) , I am trying to figure out a
way to load all the files together and
then have them ordered by id into a matrix data frame. For
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