myDF[! names(myDF) %in% not_wanted] if I understand you aright. E.g.
library(MASS) hills[! names(hills) %in% "climb"] which can also be done by subset(hills, select=-climb) On Mon, 5 Jul 2004, Rado Bonk wrote: > I'm coming back to R after while. I have a data frame with 200 columns, > each column has a name. How to extract all columns to a new dataset, but > the specified (by names) ones? -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
