The thing is I have about 10 cases. I saw the ifelse statement but was
wondering if there was a cleaner method of doing it. The coding will get
really messy when I write all 10 cases.
Cheers,
Sachin
On Mon, Aug 13, 2012 at 11:04 AM, arun <smartpink...@yahoo.com> wrote:
> Hi,
> Try this:
> dat1<-data.frame(col1=c(rep("high",3),rep("Neutral",3),rep("low",4)))
>
>
> dat1$col2<-ifelse(dat1$col1=="high",dat1$col2<-"H",ifelse(dat1$col1=="Neutral",dat1$col2<-"N","L"))
> dat1
> col1 col2
> 1 high H
> 2 high H
> 3 high H
> 4 Neutral N
> 5 Neutral N
> 6 Neutral N
> 7 low L
> 8 low L
> 9 low L
> 10 low L
>
> A.K.
>
>
>
>
> ----- Original Message -----
> From: Sachinthaka Abeywardana <sachin.abeyward...@gmail.com>
> To: r-help@r-project.org
> Cc:
> Sent: Sunday, August 12, 2012 8:43 PM
> Subject: [R] if else elseif for data frames
>
> Hi all,
>
> It seems like I cannot use normal 'if' for data frames. What would be the
> best way to do the following.
>
> if data$col1='high'
> data$col2='H'
> else if data$col1='Neutral'
> data$col2='N'
> else if data$col='low'
> data$col2='L'
> else
> #chuch a warning?
>
>
> Note that col2 was not an existing column and was newly assigned for this
> task.
>
> Thanks,
> Sachin
>
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>
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