[R] Replace column values in R conditional on values from different column

[Pascal Oettli]

Hello,

No need for a loop. "else if" doesn't exist in R. And Health2$CohenM and 
Health2_CohenF have to be created first, in case of a loop

If Health2$q_5a only have 1 and 2 as possible values, just use "which" 
and "-". And I would suggest to not add new variables in your data 
frame, because you will include some NA. Create 2 new variables, then do 
your different calculations on.

CohenM <- Health2$CohenSum[w]
CohenF <- Health2$CohenSum[-w]

Regards
Pascal


Le 12/10/13 20:59, GradStudentDD a écrit :
> Dear List,
>
> I am working on a stats project and have been stumped by the issue of
> replacing values in a column conditional on values from a different column.
> I searched the forum and google in general, and was able to put some code
> together, but it's not working the way it's supposed to... I appreciate any
> help you can offer! A detailed description of the issue, and the code I came
> up with, is below.
>
> I am trying to separate one variable (CohenSum) into separate values for
> males and females, in two separate columns, so I can do computations on them
> (i.e. mean, sd). I tried the code below, but the values I got didn't make
> sense - the length of the M and F columns should have been about half of the
> initial column length and NA for the rest (I have about half men and half
> women in the sample) but instead every cell has values in it, except for the
> initial NAs. I think R somehow inserted 0 instead of NAs for the gender
> values which were not supposed to be in that column (i.e. replaced values
> for females with 0 in the male column) but I don't know why.
>
> Thanks!!!!!
>
> for(i in 1:length(Health2$CohenSum)){
>    if (Health2$q_5a[i]==1) Health2$CohenM[i] <- Health2$CohenSum[i]
>    else if (Health2$q_5a[i]==2) Health2$CohenF[i] <- Health2$CohenSum[i]
>    else Health2$CohenF[i] <- NA
>    }
>
>
>
> --
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>
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