Re: [R] Several factors same levels

From: Dimitris Rizopoulos <d.rizopoulos_at_erasmusmc.nl>
Date: Tue, 19 Apr 2011 13:58:40 +0200

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.
>
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>

-- 
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/

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Received on Tue 19 Apr 2011 - 12:03:19 GMT

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