Hi,
On Aug 6, 2009, at 9:26 AM, Inchallah Yarab wrote:
hi,
i have a file with 49000 lines i want to do a classification in two
tables
suppose data <- read.csv2("c:/total.csv", sep=",")
if the second colonne contains ( A,B,C,D)------------> tab1
if the second colonne contains ( E,F,G,H)------------> tab2
How can do this ?
One easy way is to read the data into a table first, then split it in
two after loading. I'm going to take you literally when you say you
want the column to contain, rather than the column be equal to, so
I'll use some regular expression mojo:
dat <- read.csv2(...)
tab1 <- dat[grep('[ABCD]', dat[,2], ]
tab2 <- dat[grep('[EFGH]', dat[,2]), ]
optionally rm the dat variable if you're hurting for RAM.
-steve
--
Steve Lianoglou
Graduate Student: Computational Systems Biology
| Memorial Sloan-Kettering Cancer Center
| Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos/contact
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
