On 5 Sep 2003 at 8:31, Francisco J. Bido wrote: Yes, model matrix is the answer, and if it has many arguments, it also has many reasonable defaults. When I am trying out a new function, I just accept the dafaults for a starter.
> > x <- c(1:10) #data to be broken up into dummy variables > v <- c(3,5,7) #breakpoints > p = 1 #drop this column to avoid dummy variable trap > What about f <- cut(x, breaks=c(0,3,5,7,10) y <- model.matrix( ~ f) (model matrix will drop the first column for you), and make a column for the intercept) If you want all the columns, and no intercept, replace with y <- model.matrix( ~ y - 1) or even y <- model.matrix( ~y + 0) Kjetil Halvorsen > How can I get a matrix "y" that has the associated dummy variables for > columns? > Thank You, > -Francisco > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
