Hi, Suggestion 1: read http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example and bookmark it for future reference.
Suggestion 2: set.seed(123) countrydiff <- letters[1:5] long_df <- data.frame(country_name = sample(letters[1:8], 20, replace=TRUE)) long_df$povdat <- as.numeric(long_df$country_name %in% countrydiff) Sarah On Wed, Dec 18, 2013 at 8:57 AM, Adel <adel.da...@sociology.gu.se> wrote: > > Dear list-members, > > I have the following problem: I have a vector (countrydiff) with length 72 > and another vector (long_df$country_name) which is about 12000 long. > Basically what I want to do is to if the factor level (or string name) in > long_df$country_name appears on the countrydiff, then long_df$povdat should > be equal to 1, if it does not appear on the countrydiff vector then > long_df$povdat should be equal to zero. I have tried different combinations > and read some. The following code should in my mind do it, but it doesn’t: > > long_df$povdat<-ifelse(long_df$country_name == countrydiff, 1, 0) > > long_df$povdat<-ifelse(long_df$country_name %in% countrydiff, 1, 0) > > Additional information: the factor vector countrydiff contains unique > country names (Albania, Zimbabwe etc.), whereas long_df$country_name also > contains country names albeit not unique since it is in longform. The unique > names that appear in long_df$country_name is around 200. > > > Any suggestions? > Thanks in advance. > > Best > Adel > > -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ 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.
