Hi Mark, Have a look at colwise (and numcolwise and catcolwise) in the plyr package.
Hadley On Tue, Jun 23, 2009 at 4:23 PM, Mark Na<[email protected]> wrote: > Hi R-helpers, > > I have a dataframe with 60columns and I would like to convert several > columns to factor, others to numeric, and yet others to dates. Rather > than having 60 lines like this: > > data$Var1<-as.factor(data$Var1) > > I wonder if it's possible to write one line of code (per data type, > e.g. factor) that would apply a function (e.g., as.factor) to several > (non-contiguous) columns. So, I could then use 3 or 4 lines of code > (for 3 or 4 data types) instead of 60. > > I have tried writing an apply function, but it failed. > > Thanks for any help you might be able to provide. > > Mark Na > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- http://had.co.nz/ ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
