Hi, I am trying to do multinomial regression using the glmnet package, but the following gives me an error (for no reason apparent to me):
library(glmnet) cv.glmnet(x=matrix(c(1,2,3,4,5,6,1,2,3,4,5,6), nrow=6),y=as.factor(c(1,2,1,2,3,3)),family='multinomial',alpha=0.5, nfolds=2) The error i get is: Error in if (outlist$msg != "Unknown error") return(outlist) : argument is of length zero If i change the number of folds to 1, i get a seg fault: *** caught segfault *** address 0x0, cause 'memory not mapped' Traceback: 1: .Fortran("lognet", parm = alpha, nobs, nvars, nc, as.double(x), y, offset, jd, vp, ne, nx, nlam, flmin, ulam, thresh, isd, maxit, kopt, lmu = integer(1), a0 = double(nlam * nc), ca = double(nx * nlam * nc), ia = integer(nx), nin = integer(nlam), nulldev = double(1), dev = double(nlam), alm = double(nlam), nlp = integer(1), jerr = integer(1), PACKAGE = "glmnet") 2: lognet(x, is.sparse, ix, jx, y, weights, offset, type, alpha, nobs, nvars, jd, vp, ne, nx, nlam, flmin, ulam, thresh, isd, vnames, maxit, HessianExact, family) 3: glmnet(x[!which, ], y_sub, lambda = lambda, offset = offset_sub, weights = weights[!which], ...) 4: cv.glmnet(x = matrix(c(1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6), nrow = 6), y = as.factor(c(1, 2, 1, 2, 3, 3)), family = "multinomial", alpha = 0.5, nfolds = 1) Possible actions: any ideas? Brian. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org 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.