similar to: plot.formula and pch= (PR#149)

I would like to suggest a slight modification to diag(). In the case where x is a matrix with both row names and column names the same, it would be reasonable if the resulting vector also had those names. I often use diag() on variance matrices, where this modification is helpful. The modification requires replacing if (is.matrix(x) && nargs() == 1) return(c(x)[1 +

Hi Everyone, Can I suggest a couple of new `codes' methods. I know codes is a bit dodgy (at least, according to the comments in codes.factor), but for what it's worth I like to extract codes from data frames of factors, for which the following two functions (which operate recursively) are helpful: "codes.default" <- function(x) { if (is.list(x)) lapply(x, codes)

In an effort to encapsulate my dependence on class in order to deal with oldclass/class in Splus I defined the functions tfclass <- class "tfclass<-" <- function(x, value){ class(x) <- value ; x } and also the function classed <- function(x, cls) {class(x) <- cls; x} This last allows me to end a function definition with ... classed(somecalc,

I've just started digging into Andreas's old report: > a <- array(0,c(2,2,2)); > dimnames(a)<-list(hansi=1:2, pepi=c("a","b"), karli=3:4) > dimnames(a[,,1]) # losing component names [[1]] [1] "1" "2" [[2]] [1] "a" "b" Now, this would be fairly easily fixed (I think) which would also make it compatible with S3.

I note that the CRAN at .at land still refers to 0.63.2. Is this just a typo? I don't want to download a whole lot only to find I still have it! Does 0.63.3 live elsewhere? And I note the new function kronecker - very useful but can it be applied to non-numerics as in factors, data frames etc preserving the class, levels and names? John

I note that the CRAN at .at land still refers to 0.63.2. Is this just a typo? I don't want to download a whole lot only to find I still have it! Does 0.63.3 live elsewhere? And I note the new function kronecker - very useful but can it be applied to non-numerics as in factors, data frames etc preserving the class, levels and names? John

I want the indices i for which x[i] < 0 (say): > x <- c(1, -1, 3, 3, -2) > where.negative(x) [1] 2 5 Surely where.negative is something simple, but how? G?ran -------------------------------------------------------------- G?ran Brostr?m Department of Statistics tel: +46 90 786-5223 Ume? University fax: +46 90 786-6614 S-90187 Ume?, Sweden

I wonder if it isn't time to change the reply-to-list policy of R-help and adopt the alternative convention of replying to the author and asking him/her to summarize to the list. Recently R-help has been too busy for me to keep up with. There were quite a few identical responses in the "Finding indices with a certain property" thread, rather than an extended discussion. I think

>>>>> "JonR" == Jonathan Rougier <J.C.Rougier@durham.ac.uk> writes: JonR> ... By the way, I have `solve' JonR> methods for triangular matrices and variance matrices -- would JonR> you be interested? { Jonathan, I hope it's okay if I CC this to R-devel; this must be of a wider interest } Ye.e..s; for triangular ones,

Hi everyone I'm trying to generate a vector of the form a <- c(1,2,3,4,1,2,3,1,2,1) where n = 5 in a general way, where n can be any positive integer. I've run out of ideas. Does anyone have any suggestions? Thanks Karen Karen Kotschy Centre for Water in the Environment University of the Witwatersrand Johannesburg Tel: 011 716-2218

Hi everyone I'm trying to generate a vector of the form a <- c(1,2,3,4,1,2,3,1,2,1) where n = 5 in a general way, where n can be any positive integer. I've run out of ideas. Does anyone have any suggestions? Thanks Karen Karen Kotschy Centre for Water in the Environment University of the Witwatersrand Johannesburg Tel: 011 716-2218

I think we are long overdue for a revision of the header files used in R. This is going to be especially important for a clean build of the CORBA and R/Java stuff which I have been looking over Duncan's shoulder at. It will also let us integrate some of the features Duncan has had to find creative ways around and also to let us integrate things like the PROBLEM buffer problem. I would propose

Dear R users, Does anyone have a function for putting a legend on an image plot? I couldn't locate an R equivalent of image.legend....has anyone written such a thing? kind regards andy --------------------------------------------------------------------- J. Andy Royle, U.S. Fish and Wildlife Service - Office of Migratory Bird Management; 11510 American Holly Drive , Laurel, MD

Just a minor point, but the adj argument in ?text is described wrongly (0.64.1). Perhaps the following might be added to the details. Values of 0, 0.5, and 1 specify left/top, middle and right/bottom, respectively. The default is for centred text, ie \code{adj = c(0.5, 0.5)}. Cheers, Jonathan. Jonathan Rougier Science Laboratories Department of

This is a minor question, but is there any difference between the two objects fred <- structure(1:10, dim = c(2,5)) and fred <- structure(1:10, .Dim = c(2,5)) Should I be using one rather than the other? Thanks, Jonathan. Jonathan Rougier Science Laboratories Department of Mathematical Sciences South Road University of Durham Durham DH1 3LE

Am I right in thinking that there a discrepancy between the ?library documentation and the library() function? If I have a library called "patches", then according to the documentation (0.62.4) patches/R should contain source files like fred.R and george.R, but in practice the library only loads if both fred.R and george.R are given in a file called patches in the R subdirectory of

I wonder if we might also include an "equiv" function along with the other set functions (ie "union", "intersect", etc), perhaps along the lines of "equiv" <- function(x, y) all(c(match(x, y, 0)>0, match(y, x, 0)>0)) (which I think might be the quickest implementation). I use this type of function quite frequently: is there some reason why it is

I wonder if we might also include an "equiv" function along with the other set functions (ie "union", "intersect", etc), perhaps along the lines of "equiv" <- function(x, y) all(c(match(x, y, 0)>0, match(y, x, 0)>0)) (which I think might be the quickest implementation). I use this type of function quite frequently: is there some reason why it is

In legend() is it possibly to mix lines and boxes? I would like to do something like legend(locator(1), legend = c("al", "ben", "chris", "dave"), lty = c(1, 2, 3, NA), fill = c(NA, NA, NA, "gray")) to indicate that "al", "ben" and "chris" have lines, and "dave" has a gray shading. Many thanks,

Hi Everyone, Just a minor point, but could chol() be changed to include the dimnames of the original matrix? This will ensure that x and t(R) %*% R have the same dimnames, where R <- chol(x). So we just need to insert if (!is.null(dx <- dimnames(x))) dimnames(z$v) <- dx ahead of the return. Cheers, Jonathan. Jonathan Rougier Science Laboratories