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Alex Rivera
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I have a data.frame consisting of numeric and factor variables as seen below. testFrame <- data.frame(First=sample(1:10, 20, replace=T), Second=sample(1:20, 20, replace=T), Third=sample(1:10, 20, replace=T), Fourth=rep(c("Alice","Bob","Charlie","David"), 5), Fifth=rep(c("Edward","Frank","Georgia","Hank","Isaac"),4)) I want to build out a matrix that assigns dummy variables to the factor and leaves the numeric variables alone. model.matrix(~ First + Second + Third + Fourth + Fifth, data=testFrame) As expected when running lm this leaves out one level of each factor as the reference level. However, I want to build out a matrix with a dummy/indicator variable for every level of all the factors. I am building this matrix for glmnet so I am not worried about multicollinearity. Is there a way to have model.matrix create the dummy for every level of the factor?
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