> On 03 Feb 2017, at 21:07 , Art U <art.tem...@gmail.com> wrote: > > Hello, > > I have a vector of coefficients from backward selection model that looks > like: > > [,1] > (Intercept) -0.15 > s1[, 1] 2.65 > s1[, 2] 1.81 > s1[, 5] 2.35 > > > I'd like to get a new vector that contains zeroes for variables that were > not included in the final model. For example here it suppose to be: > > [,1] > (Intercept) -0.15 > s1[, 1] 2.65 > s1[, 2] 1.81 > s1[, 3] 0 > s1[, 4] 0 > s1[, 5] 2.35 > > s1[, 6] 0 > > s1[, 7] 0 > > s1[, 8] 0 > > > Is there simple function I can use to get such result?
I wouldn't waste time looking for it... It goes something like fullnames <- ... extended <- matrix(0,length(fullnames),1) rownames(extended) <- fullnames extended[rownames(reduced),] <- reduced where, presumably, you can find fullnames fromm the fit of a full model. -pd -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Office: A 4.23 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
