[R] Reading a bunch of csv files into R
Nutter, Benjamin
NutterB at ccf.org
Fri May 25 21:08:12 CEST 2012
For example:
myDir <- "some file path"
filenames <- list.files(myDir)
filenames <- filenames[grep("[.]csv", filenames)]
data_names <- gsub("[.]csv", "", filenames)
for(i in 1:length(filenames)) assign(data_names[i], read.csv(file.path(myDir, filenames[i])))
Benjamin Nutter | Biostatistician | Quantitative Health Sciences
Cleveland Clinic | 9500 Euclid Ave. | Cleveland, OH 44195 | (216) 445-1365
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Kevin Wright
Sent: Friday, May 25, 2012 2:55 PM
To: HJ YAN
Cc: r-help at r-project.org
Subject: Re: [R] Reading a bunch of csv files into R
See ?dir
Assign the value to a vector and loop over the elements of the vector.
Kevin
On Fri, May 25, 2012 at 12:16 PM, HJ YAN <yhj204 at googlemail.com> wrote:
> Dear R users
>
>
> I am struggling from a data importing issue:
>
> I have some hundreds of csv files needed to be read into R for futher
> analysis. All those csv files are named in one of the three formats:
>
> (1) strings: e.g. London_Oxford street
> (2) Integer: e.g. 1234_5678
> (3) combined: e.g. London_1234
>
> I intend to use read.csv("xxxx_xxx.csv") but I only dealt with sigle
> documents before and if there are only no more than 20 files, I do not
> bother to search a more efficient way.
>
>
> Is there any claver way that I do not have to type in all these
> hundreds names by hand, maybe using a R package or write some code in
> some other languages if it is not too difficult to learn.
>
> Any thoughts/hints please??
>
> Many thanks in advance!
>
> HJ
>
> [[alternative HTML version deleted]]
>
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--
Kevin Wright
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