
Dear List Members,I have 55 data frames, each of which with 272 variables and 267 observations. Some of these variables are blanks but the blanks are not the same for every data frame. I would like to write a procedure in which I import a data frame, see which variables are blank, and delete those variables. My data frames have variables named P1 to P136 and Q1 to Q136. 
I have a couple of questions regarding this issue:
1) Is a loop an efficient way to address this problem? If not, what are my alternatives and how do I implement them?2) I have been playing with a single data frame to try to figure out a way of having R go through the columns and see which ones it should delete. I have figured out how to delete rows with missing data (newdata <- na.omit(olddata)) but how do I do it for columns???
Thank you very much for your help and have a great weekend!
Rita ________________________________________ "If you think education is expensive, try ignorance"--Derek Bok


 		 	   		  
	[[alternative HTML version deleted]]

