search for: nxr

...2) rect() does not work either. Unfortunately, do_rect() in "plot.c" overrides the yt() function... What about this (lines 983-1031): SEXP do_rect(SEXP call, SEXP op, SEXP args, SEXP env) { SEXP sxl, sxr, syb, sys, col, lty, border; double *xl, *xr, *yb, *ys; int i, n, nxl, nxr, nyb, nys; int ncol, nlty, nborder; int colsave, ltysave; GCheckState(); if(length(args) < 4) errorcall(call, "too few arguments\n"); xypoints(call, args, &n); sxl = CAR(args); nxl = length(sxl); args = CDR(args); syb = CAR(args); nyb = length(syb); a...

...sociated with levels i1,...,ip of W where (i1,...,ip) is a permutation of levels (1,...,p) of W). I'm wondering, too, how to represent this in R. In the univariate case, for instance, the matrix representation for a factor when regressing y on r levels of a factor F represents the factor as an Nxr matrix with zeros except for 1s in col j for rows where y has the level j of F. In the multivariate case, each row of Y would by analogy be associated with a matrix of factor levels, one row for each variate in Y, so as to pick out the factor levels by columns as in the univariate case for that var...

...sociated with levels i1,...,ip of W where (i1,...,ip) is a permutation of levels (1,...,p) of W). I'm wondering, too, how to represent this in R. In the univariate case, for instance, the matrix representation for a factor when regressing y on r levels of a factor F represents the factor as an Nxr matrix with zeros except for 1s in col j for rows where y has the level j of F. In the multivariate case, each row of Y would by analogy be associated with a matrix of factor levels, one row for each variate in Y, so as to pick out the factor levels by columns as in the univariate case for that var...