Dear R Helpers, I am re-phrasing a question that I put forth earlier today due to some particulars in the solution that I am searching for. Many thanks to those who answered the previous post and to any who would be willing to answer this one.
I have a set of data frames. I need to perform some data scrubbing on each of them. I am trying to figure out how to perform the same steps on each data frame using some sort of loop or something along those lines. Because my actual data frames are quite large and the steps I am taking moderately complicated, I would very much prefer not to put them all together in a list because when I get an error, I can't determine which part of the list is the source of the error. So, I would really appreciate it if someone could post a way to perform the following sub setting function on the three simple data frames in the example below with some sort of loop or something along those lines, which would work directly on the data frames in question. Many thanks in advance. Please let me know if there is anything I can do to make the question more clear. --John Sparks x=as.data.frame(matrix(c(1,2,3, 1,2,3, 1,2,2, 1,2,2, 1,1,1),ncol=3,byrow=T)) y=as.data.frame(matrix(c(1,2,3, 1,2,3, 1,2,2, 1,2,2, 1,1,1),ncol=3,byrow=T)) z=as.data.frame(matrix(c(1,2,3, 1,2,3, 1,2,2, 1,2,2, 1,1,1),ncol=3,byrow=T)) #Want to build some sort of loop for this. x<-subset(x,select=-c(V1)) y<-subset(y,select=-c(V1)) z<-subset(z,select=-c(V1)) ______________________________________________ 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.