one way is the following:
DF <- data.frame(id = 1:6,
sex = gl(2, 3, labels = c("M", "F")),
x = sample(0:1, 6, TRUE), y = sample(0:1, 6, TRUE),
z = rnorm(6))
f <- function (x) {
if (all(unique(x) %in% 0:1))
factor(x, levels = 0:1, labels = c("No", "Yes"))
else
x
}
DF[] <- lapply(DF, f)
I hope it helps.
Best,
Dimitris
On 4/19/2011 10:57 AM, dereksloan wrote:
This is probably very simple but I'm new to R so apologies for being stupid.
I have some data with No coded as 0 and yes coded as 1.
e.g.
id sex alcohol smoker
1 M 0 1
2 F 1 0
3 M 0 0
I realise I can covert the numerical variable back to a factor by
falcohol<-factor(alcohol,levels=0:1)
levels<-c("No","Yes")
fsmoker<-factor(smoker,levels=0:1)
levels<-c("No","Yes")
but can I do this for all factors using the same levels in a single command
to make it easier (i.e. switch all 0/1, no/yes variables without having to
recode the same factor levels for them all)?
Derek
--
View this message in context:
http://r.789695.n4.nabble.com/Several-factors-same-levels-tp3459878p3459878.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
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.
--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center
Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014
Web: http://www.erasmusmc.nl/biostatistiek/
______________________________________________
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.
