try this: > x Col1 Col2 Col3 Col4 1 1 1 1 1 2 2 1 1 1 3 4 1 4 1 4 3 3 3 3 > apply(x, 1, function(a) sum(a > 1)) [1] 0 1 2 4 > x$count <- apply(x, 1, function(a) sum(a > 1)) > x Col1 Col2 Col3 Col4 count 1 1 1 1 1 0 2 2 1 1 1 1 3 4 1 4 1 2 4 3 3 3 3 4 >
On Thu, Nov 10, 2011 at 10:24 AM, JL Villanueva <jlpost...@gmail.com> wrote: > Hi, > > I am a little new in R but I'm finding it extremely useful :) > > Here's my tiny question: > > I've got a table with a lot of columns. What I am interested now is to > evaluate how many of 4 columns have a value greater than 1. > I think it can be done with subset() but it will take a very long condition > and become unfeasible if I want to compare more than 4 columns. > > I put here a small example > > Col1 Col2 Col3 Col 4 > 1 1 1 1 <-0 columns greater than 1 > 2 1 1 1 <-1 column greater than 1 > 4 1 4 1 <-2 columns greater than 1 > 3 3 3 3 <-3 columns greater than 1 > > Then I want to filter by that number, my idea is to create a new column > storing the number calculated and subset() by it. > > Any hints? > Thanks in advance > > JL > > [[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. > -- Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. ______________________________________________ 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.
