I am working with a dataframe that has 65 variables in it. The first variable catalogs a person, and the next 64 variables indicate the geographic distance that person is fr
I'd approach this with apply but transform or other approach could work.
#fake data set ID=LETTERS[1:5], distance=matrixsample( DF <- as.data.frame(matrix(sample(1:100, rep=T, 100), 5, 20)) DF <- data.frame(ID=LETTERS[1:5], DF) #solution DF$newvar <- apply(DF[,-1], 1, min)