Re: [R] apply lm() to each row of a matrix

Reread ?lm and note that the lhs can be a matrix. I believe this is exactly what you want. -- Bert On Sun, Jan 29, 2012 at 2:05 PM, Martin Batholdy wrote: > Hi, > > > I would like to fit lm-models to a matrix with 'samples' of a dependent > variable (each row represents one sample of the depend

Re: [R] apply lm() to each row of a matrix

If it's a simple one variable OLS regression and you only need regression coefficients, you'll probably get best performance by hard-coding the closed form solutions. apply() might help a little (since it's a very good loop) but ultimately you'll be best served by deciding exactly what you want and

[R] apply lm() to each row of a matrix

Hi, I would like to fit lm-models to a matrix with 'samples' of a dependent variable (each row represents one sample of the dependent variable). The independent variable is a vector that stays the same: y <- c(1:10) x <- matrix(rnorm(5*10,0,1), 5, 10) now I would like to avoid looping over