Presumably using read.table instead of read.csv.
Get the import working with one sample file first, then do whatever you
had to do with one file over and over.
You still need to go read up on regex patterns... to get you started the
pattern for matching the csv files would be something like
"Bdat[0-9]*\\.csv$", and the pattern for matching txt files would be
"Bdat[0-9]*\\.txt$", but understanding regular expressions is a topic in
its own right, separate from R. Google is your friend.
On Tue, 29 Nov 2016, Val wrote:
Thank you Sarah,
Some of the files are not csv but some are *txt with space delimited.
Bdat.txt
Bdat123.txt
Bdat456.txt
How do I do that?
On Tue, Nov 29, 2016 at 8:28 PM, Sarah Goslee <sarah.gos...@gmail.com> wrote:
Something like this:
filelist <- list.files(pattern="^test")
myfiles <- lapply(filelist, read.csv)
myfiles <- do.call(rbind, myfiles)
On Tue, Nov 29, 2016 at 9:11 PM, Val <valkr...@gmail.com> wrote:
Hi all,
In one folder I have several files and I want
combine/concatenate(rbind) based on some condition .
Here is the sample of the files in one folder
test.csv
test123.csv
test456.csv
Adat.csv
Adat123.csv
Adat456.csv
I want to create 2 files as follows
test_all = rbind(test.csv, test123.csv,test456.csv)
Adat_al l= rbind(Adat.csv, Adat123.csv,Adat456.csv)
The actual number of of files are many and is there an efficient way
of doing it?
Thank you
--
Sarah Goslee
http://www.functionaldiversity.org
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