cbind always produces a matrix or data frame. What the FAQ says is that a subsetting operation *on* a matrix will result in redundant dimensions being dropped, not that you can't get a matrix with a "redundant" dimension as a result of a function.
So, > vec<-1:10 > vec [1] 1 2 3 4 5 6 7 8 9 10 > cbind(vec) vec [1,] 1 [2,] 2 [3,] 3 [4,] 4 [5,] 5 [6,] 6 [7,] 7 [8,] 8 [9,] 9 [10,] 10 > mat<-cbind(vec) > dim(mat) [1] 10 1 > mat[,1] [1] 1 2 3 4 5 6 7 8 9 10 takes us back to a vector again. On 04/10/06, Alberto Monteiro <[EMAIL PROTECTED]> wrote: > Gavin Simpson wrote: > > > > Did you even try to use cbind on your vector? I guess not as, > > > > > vec <- 1:10 > > > mat <- cbind(vec) > > > mat > > > Why does mat remain a matrix instead of "losing" one dimension? > I am reading the FAQ at... > http://cran.us.r-project.org/doc/FAQ/R-FAQ.html#Why-do-my-matrices-lose- > dimensions_003f > ... and it seems that anything you do to mat should turn it back > into a one-dimensional vector. > > Alberto Monteiro > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > 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. > -- ================================= David Barron Said Business School University of Oxford Park End Street Oxford OX1 1HP ______________________________________________ R-help@stat.math.ethz.ch mailing list 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.