Hi:
This also works on your example data. Using the 'x' data frame from Jim
Holtman's post,
subset(transform(x, diffAB = A - B, diffCD = C - D), select = c('diffAB',
'diffCD'))
diffAB diffCD
1 -0.6 0.10
2 -0.4 0.10
3 -0.4 -0.06
transform() allows you to do the subtractions in one line, and subset() is
used to select the difference variables. Not necessarily a 'better'
solution, but rather another alternative.
If you need to be taking numerous differences between odd numbered and even
numbered columns of your data frame, then Jim's solution is ideal.
HTH,
Dennis
On Sun, Jan 30, 2011 at 5:32 PM, Ramya <ramya.vict...@gmail.com> wrote:
>
> Hi,
>
> I have a Dataframe.
>
> A B C D
> 0.1 0.7 0.9 0.8
> 0.20 0.60 0.80 0.70
> 0.40 0.80 0.70 0.76
>
> I need a resultant dataframe
>
> (A-B) (C-D)
> -0.6 0.1
> -0.40 0.1
> -0.40 -0.06
>
> Any suggestion would be of a great help
>
> Thanks
> Ramya
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/Finding-a-Diff-within-a-Dataframe-columns-tp3247943p3247943.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
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