Hi,
You could try:
df[df>0]<-1
#or
df[]<-as.integer(df!=0)
df
# V1 V2 V3
#yes 1 0 1
#no 0 1 1
A.K.
----- Original Message -----
From: Wim Kreinen <wkrei...@gmail.com>
To: r-help@r-project.org
Cc:
Sent: Monday, February 4, 2013 1:33 PM
Subject: [R] Transform every integer to 1 or 0
Hello,
I have a dataframe with positive integers and
for every value > 0
I would like to have 1 and the rest should be zero.
For instance
1 0 1
0 1 1
with df as reference.
> df
V1 V2 V3
yes 23 0 5
no 0 5 7
> dput (df)
structure(list(V1 = c(23, 0), V2 = c(0, 5), V3 = c(5, 7)), .Names = c("V1",
"V2", "V3"), row.names = c("yes", "no"), class = "data.frame")
Is there a special function?
Thanks
Wim
[[alternative HTML version deleted]]
______________________________________________
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.
______________________________________________
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.
