Hi all, I am just starting to use data.table and finding it very convenient for handling large datasets.
I am used to logical indexing of columns for wide data.frames, and wondering why the same cannot be achieved with data.table even after specifying with=FALSE. Here is a toy example. --- a = data.frame(x=1:3,y=4:6,z=7:9) logidx = c(TRUE,TRUE,FALSE) a[,logidx] # x y # 1 1 4 # 2 2 5 # 3 3 6 a = data.table(a) a[,c(1,2),with=FALSE] #works a[,-3,with=FALSE] #works a[,which(logidx),with=FALSE] #works a[,logidx,with=FALSE] #doesn't work # Error in `[.data.table`(a, , logidx, with = FALSE) : j out of bounds --- I'm trying to understand why the last command doesn't work? I'm using data.table 1.8.2 and R 2.15.0. Any help is appreciated. Thanks, Mani PS: Apologies if you receive multiple copies, as I was having trouble subscribing to the email list. _______________________________________________ datatable-help mailing list [email protected] https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help
