Hi,
set.seed(15)
dat1<-data.frame(col1=rnorm(6),col2=rep(1:2,each=3),col3=rep(letters[1:3],2),col4=runif(6),col5=rep(LETTERS[3:5],2))
dat1[,sapply(dat1,class)!="factor"]
# col1 col2 col4
#1 0.2588229 1 0.5090904
#2 1.8311207 1 0.7066286
#3 -0.3396186 1 0.8623137
#4 0.8971982 2 0.8417851
#5 0.4880163 2 0.4474437
#6 -1.2553858 2 0.9646670
#or
dat1[,grep("numeric|integer",sapply(dat1,class))]
# col1 col2 col4
#1 0.2588229 1 0.5090904
#2 1.8311207 1 0.7066286
#3 -0.3396186 1 0.8623137
#4 0.8971982 2 0.8417851
#5 0.4880163 2 0.4474437
#6 -1.2553858 2 0.9646670
A.K.
----- Original Message -----
From: Barry DeCicco <bdecicco2...@yahoo.com>
To: "r-help@R-project.org" <r-help@r-project.org>
Cc:
Sent: Saturday, February 16, 2013 1:15 PM
Subject: [R] Extracting Numeric Columns from Data Fram
Hello,
I've got a data frame with a mix of numeric, integer and factor columns.
I'd like to pull out (or just operate only on) the numeric/integer columns.
Every thing I've found in searches is about how to subset by rows,
or how to operate assuming you have the column names. I'd like to pull
by type.
Thanks!
Barry
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and provide commented, minimal, self-contained, reproducible code.
