similar to: Does matmult exist?

Has anyone tried to build r-devel on a RedHat 7.1 with the gcc 3.1.1 compiler? I didn't have problems with gcc 2.95.x or gcc 3.0.4, but when I ran the configure with gcc 3.1.1 I got the following error: [...] checking whether gcc accepts -M for generating dependencies... yes checking whether gcc supports -c -o FILE.lo... yes checking how to get verbose linking output from g77... -v checking

I'm trying to write a package which uses classes/methods as defined in the `methods' package. I have a single .R file which defines the class and various methods for that class. At the top of the file I have require(methods) and then setClass("myclass", ...) setGeneric("intersect") setMethod("intersect", "myclass", function(x,y) ...) I noticed

I ran into a problem trying to make a plot from a file that's read using source. Basically, I have the following code in a file "plot.R" : library(nlme) data(Loblolly) fm1 <- nlme(height ~ SSasymp(age, Asym, R0, lrc), data = Loblolly, fixed = Asym + R0 + lrc ~ 1, random = Asym ~ 1, start = c(Asym = 103, R0 = -8.5, lrc = -3.3))

In the current R-devel sources, the `pgamma' function gives a warning when the `shape' argument is passed as a vector of length > 1. That is, > pgamma(3, 1) [1] 0.950213 > pgamma(3, c(1, 2)) [1] 0.9502129 0.8008517 Warning message: the condition has length > 1 and only the first element will be used in: if (shape <= 0) stop("shape must be strictly positive")

Hello!! At first thank you all for your suggestions and your help. But I would like to get another group of datas from the density estimation. I don't know if these information are provided by locfit or I should use an other function like plot(). Description: Each number between 1 and 100 (only integer) for example should have only one density value. But I also would like to have the density

Quick question about installing packages on a system where you do not have root access. Suppose a person is using R on a shared system where he cannot write to the installation directory (i.e. /usr/local/lib/R). What general advice would you give regarding where to install packages from CRAN. Should he use the R_LIBS environment variable or maybe .libPaths() in R or .Renviron? Thanks, -roger

Recently, while using R-patched and now R-1.6.1 (on RedHat Linux 7.1) I've been getting the following warning in the course of everyday activity: [... some R activity ...] In addition: Warning message: An unusual circumstance has arisen in the nesting of readline input. Please report using bug.report() > The warning is difficult to reproduce because it seems to appear at random times,

The file ftp://gifi.stat.ucla.edu/pub/R-1.5.1.dmg has grown to 60 MB. It consists of a meta-package and its packages and it will allow you to install binaries for R-1.5.1 and about 300 packages, just by clicking the R-1.5.1.mpkg file. It also install quite a few dylibs in /sw, but not the ones for X11R6 and gnome yet. You can choose which of the packages to install, of course. The same

The file ftp://gifi.stat.ucla.edu/pub/R-1.5.1.dmg has grown to 60 MB. It consists of a meta-package and its packages and it will allow you to install binaries for R-1.5.1 and about 300 packages, just by clicking the R-1.5.1.mpkg file. It also install quite a few dylibs in /sw, but not the ones for X11R6 and gnome yet. You can choose which of the packages to install, of course. The same

I have just uploaded a package to CRAN called `gpclib' for clipping large and complex polygons. This package provides an R interface to Alan Murta's very fast General Polygon Clipper library (written in C), which has an optimized version of the Vatti algorithm. Not all features of Murta's library are implemented -- right now you can do intersections, differences, and unions. There

I have just uploaded a package to CRAN called `gpclib' for clipping large and complex polygons. This package provides an R interface to Alan Murta's very fast General Polygon Clipper library (written in C), which has an optimized version of the Vatti algorithm. Not all features of Murta's library are implemented -- right now you can do intersections, differences, and unions. There

Venables and Ripley's MASS 3ed mentions a function predplot, used for plotting results of lda and qda. But even with the library MASS loaded, R (1.4.1) tells me predplot doesn't exist, and when I search the 1.4.1 documentation for predplot, it finds nothing. Does predplot still exist somewhere, or has it been replaced by a new and improved version with a different name? Thanks.

R 1.6.1 on Windows NT4: The boxplot() function appears to draw its own tick marks and axis values even when called with add=TRUE. As a toy example, try x <- rnorm(100) f <- factor(rep(1:4, each=25)) plot(c(0,4), c(-3,3), type="n", xaxt="n", yaxt="n") boxplot(x ~ f, add=TRUE) My expectation is that a high-level plotting function will not mess with the axes

The system.file() and .path.package() functions appear to be unaware of package versions and can return incorrect information or fail if a package is installed using `installWithVers = TRUE' of install.packages(). For example, I can run > install.packages("session", "~/R-local/libs", installWithVers = TRUE) and > library(session, version = "1.0.1")

Dear list I have a very simple question which is causing me problems! I have a matrix A and simply want to rbind this matrix together n times (n is a large number) How can I write this in R? I know I could do new<-rbind(z,z,z,...z) with z written n times but this will take forever as n is so large. Is there a simple way to write this? Cheers Mick

r-help, I can't seem to get the below data organized in such a manner so as to generate a contour plot using any of the functions {lattice.contourplot, base.contour, base.filled.contour}. I was wondering if anyone could please tell me what I need to do to accomplish this. X,Y,Level -31.105,86.911,3843 -3.385,86.911,3896 24.335,86.911,3874 -24.175,79.700,3900 -3.385,79.700,3927

Hi, I'm a new R user. My goal is to do a variogram using geoR. I started by trying to do the example in the geoR Illustrative Session using my own data. I am able to read in my Ascii data using: D <- matrix(scan("file.dat", n=530*3), 530,3, byrow=TRUE). Then I use: as.geodata(D, coords.col=1:2, data.col=3) to make the object D geodata. I check the descriptive statistics,

Dear Experts, I need to calculate the cdf of the standard normal distribution, i.e. H(x) = 1/sqrt(2*pi) integral(exp(-z^2/2) dz), where z is b/w -infi to infi. I know there should be a way to do it in R, but did not know to do it. I'd appreciate any help you could offer. Charlie Liu Graduate student intern at EPA/ECO

Huan, If you have not already received an answer, try this, it helped me immensely and solved my problem. Mike -----Original Message----- From: Roger Peng [mailto:rpeng at stat.ucla.edu] Sent: Wednesday, January 15, 2003 9:30 AM To: mhoward Cc: 'r-help at lists.R-project.org' Subject: Re: [R] Contour Plots I believe this was discussed about two days ago -- check the archives under

Hi all, Although R seems to have jpeg() and png() functions that converts data into jpeg and png formated files, it doesn't have functions the other way around. Does one of R contributed packages have gif, jpeg and png image readers? I did help.search() but no luck Regards, Jonathan -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read