Wacek helped me out on a similar topic a while back,
ize =
function (d, columns = names(d), izer = as.factor)
{
d[columns] = lapply(d[columns], izer)
d
}
d = data.frame(x=1:10, y=1:10, z =1:10)
str( ize(d, 'y') ) # y is now a factor
str( ize(d, 1:2, `cumsum`) ) # x and y are affected
etc.
HTH,
baptiste
Mark Na 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
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--
_____________________________
Baptiste Auguié
School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK
Phone: +44 1392 264187
http://newton.ex.ac.uk/research/emag
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
