similar to: Call C routine problem

Hi All, I a C function code, which has been successed in integrating with Splus on Unix. Now I want to move it on windows. So I want to integrate this C function with R on windows XP. I download tools.zip and saved it in c:\bin directory, download MinGW and saved it in c:\MinGw directory, download Perl and saved it in c:\Perl directory. My path is set as:

I was looking for an R function to turn a matrix into a LaTeX table; did an R site search using Jon Barron's machine and turned up the latex() function in the Hmisc package. But the Hmisc package is an Splus package, and appears not to be available for R --- there is no hint of it in the list of contributed packages on CRAN. I had a look at the Hmisc package (via statlib) and there was no

Dear helpers I have a list where each element is a matrix (the list is obtained with lapply). I want to sum those matrices. Is there a function to do that? The sum function sums all the elements... -- http://adsl.sapo.pt

Hi. I am trying some S-Plus scripts that I used a few years ago on R. Many things have worked flawlesly and I am very impressed with the work the developers have done. (As I remember, the license fee on S-Plus at that time was ~$4500 per seat (AIX) ouch!!) So, thank you. My question relates to the intrp function, which takes irregularly spaced xyz data and produces a regular xyz grid

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

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

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

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

_ platform i686-pc-linux-gnu arch i686 os linux-gnu system i686, linux-gnu status major 1 minor 6.2 year 2003 month 01 day 10 language R > Until this version, I've not had to explicitly start the x11 device. Now,

Hi, I have a dataset which has more than two clusters (say 3 clusters). I used kmeans to cluster the dataset. I am wondering how I can plot the clustering result on a two-dimensional figure???? The example in the kmeans help file is as follows: x <- rbind(matrix(rnorm(100, sd = 0.3), ncol = 2), matrix(rnorm(100, mean = 1, sd = 0.3), ncol = 2)) cl <- kmeans(x, 2, 20)

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

Hello List, I've built and checked successfully dovecot and dovecot-pigeonhole on CentOS 6 x86_64 Immediately below are the successful make check (ok) tests of dovecot 'lib-master' (x86_64). Below that are the unsuccessful (fails) tests of dovecot 'lib-master' on i686. Does anyone have a clue as to why these test would fail on i686? (x86_64): Making check in lib-master

<!doctype html> <html> <head> <meta charset="UTF-8"> </head> <body> <div> Can you try if https://github.com/dovecot/core/commit/de42b54aaf165d4f62b45be864dde36bdbbc4276.patch helps? </div> <div> <br> </div> <div> Aki </div> <blockquote type="cite"> <div>

Hi, I am a new R user and am trying to construct a palaeoenvironmental transfer function (weighted averaging method) using the package rioja. I've managed to insert the two matrices (the species abundance and the environmental data) and have assigned them to the y and x values respectively. When I try and enter the 'WA' function though, I get an 'Error in FUN' message (see

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")

Does the function 'matmult' still exist in R? It has a help page and is referenced in the help page for 'kronecker', but I can't seem to access the function itself. Obviously, not an issue of great concern but just a curiosity. > version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status

>From "R Installation and Administration:" Note that the BLAS library will be used for several add-on packages as well as for R itself. This means that it is better to use a shared BLAS library, as most of a static library will be compiled into the R executable and each BLAS-using package. Is there an idiots guide on how to do this (or should idiots just not try).

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))