On Apr 27, 2012, at 1:30 PM, R. Michael Weylandt wrote:
list.files() will give you all the file names in your working
directory (you can also give it a pattern argument) then can loop over
those with something like:
lapply(list.files(), read.table)
which will put all your files in a list object. This is generally
considered much more convenient than trying to create a whole bunch of
objects with different names programmatically.
And if you wanted to have them named, then something like:
inputfils <- lapply(list.files(patt=".txt"), read.table)
names(inputfils) <- sub("\\.txt", "", list.files(patt=.txt) )
Then this will let you access a particular file by name:
inputfils[["Oil_20030801"]]
--
David.
Michael
On Fri, Apr 27, 2012 at 11:23 AM, jiangxijixzy
<jiangxiji...@163.com> wrote:
I want to import data from about 2000 text files, and hope to
create a data
frame to make it easy to quote the data.
For example, the files like this
Oil_20030801.txt, Oil_20030804.txt, Oil_20030805.txt …
Oil_20120427.txt
The dates aren’t continuous. I want to create the data frame called
“Oil”,
like that
Oil20030801<-read.table(“E:/Oil/ Oil_20030801.txt”)
Oil20030804<-read.table(“E:/Oil/ Oil_20030804.txt”)
Oil20030805<-read.table(“E:/Oil/ Oil_20030805.txt”)
…
Oil20120427<-read.table(“E:/Oil/ Oil_20120427.txt”)
It is a time consuming way. How can I perform a convenient way?
Thank you!
--
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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David Winsemius, MD
West Hartford, CT
______________________________________________
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