Dimitri Shvorob
2010-Jan-30 20:34 UTC
[R] Applying a transformation to multiple data frame columns
How can one simplify the folowing? t$aum[is.na(t$aum)] = 0; t$aum.core[is.na(t$aum.core)] = 0 t$num[is.na(t$num)] = 0; t$num.core[is.na(t$num.core)] = 0 Thank you. -- View this message in context: http://n4.nabble.com/Applying-a-transformation-to-multiple-data-frame-columns-tp1457641p1457641.html Sent from the R help mailing list archive at Nabble.com.
Brad Patrick Schneid
2010-Jan-30 21:20 UTC
[R] Applying a transformation to multiple data frame columns
look at plyr package colwise (column wise) function -- View this message in context: http://n4.nabble.com/Applying-a-transformation-to-multiple-data-frame-columns-tp1457641p1457666.html Sent from the R help mailing list archive at Nabble.com.
jim holtman
2010-Jan-31 00:07 UTC
[R] Applying a transformation to multiple data frame columns
for (i in c('aum', 'num','aum.core','num.core'))
t[[i]][is.na(t[[i]])] <- 0
On Sat, Jan 30, 2010 at 3:34 PM, Dimitri Shvorob
<dimitri.shvorob at gmail.com> wrote:>
> How can one simplify the folowing?
>
> t$aum[is.na(t$aum)] = 0; t$aum.core[is.na(t$aum.core)] = 0
> t$num[is.na(t$num)] = 0; t$num.core[is.na(t$num.core)] = 0
>
> Thank you.
> --
> View this message in context:
http://n4.nabble.com/Applying-a-transformation-to-multiple-data-frame-columns-tp1457641p1457641.html
> Sent from the R help mailing list archive at Nabble.com.
>
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--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?