HI, If I understand correctly, you could also try: set.seed(48) d2 <- as.data.frame(matrix(sample(c("",letters[1:2]),26*245,replace=TRUE),26,245)) d2[3,] <- "" names1 <-paste0("V",13:239) res <- d2[rowSums(d2[,names1]=="") < ncol(d2[,names1]),names1] A.K.
On Thursday, January 2, 2014 1:20 AM, Luca Meyer <lucam1...@gmail.com> wrote: Happy new year fellows, I am trying to do something I believe should be fairly straightforward but I cannot find my way out. My dataset d2 is 26 rows by 245 columns, exclusively char variables. I would like to check whether at least one column from V13 till V239 (they are in numerical sequence) has been filled in, so I try d2$check <- c(d2$V13:d2$V239) and/or d2$check <- paste(d2$V13:d2$V239,sep="") but I get (translated from Italian): Error in d2$V13:d2$V239 : argument NA/NaN I have tried nchar but the same error occurs. I have also tried to run the above functions on a smaller variable subset (V13, V14, V15, see below for details) just to double check in case some variable would erroneously be in another format, but the same occur. > d2$V13 [1] "" "" "" "" "" "" "da -5.1% a -10%" "" [9] "" "" "" "" "" "" "" "" [17] "" "" "" "" "" "" "" "" [25] "" "" > d2$V14 [1] "" "" "" "" "" "" "da -10.1% a -15%" "" [9] "" "" "" "" "" "" "" "" [17] "" "" "" "" "" "" "" "" [25] "" "" > d2$V15 [1] "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" Can anyone suggest an alternative function for me to create a variable that checks whether there is at least one value for each of the 26 records I need to analyze? Thank you in advance, Luca [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.