similar to: Building my own R package under Windows

I tried ot build rpvm in my own makefile. But runs into some linker errors like e.g. undefined reference to `_R_alloc' My enviornment looks like this: CYGWIN pvm 3.4 compiled under cygwin myself R installed from the rw2001.exe setup file. I guess that the R under rw2001.exe was build with some other compiler? I then tried to compile R myself under CYGWIN but runs into the following

I am trying to install the rpvm package doing this: C:\R\rw2000\bin>rcmd install rpvm_0.6-2.tar.gz '.' is not recognized as an internal or external command, operable program or batch file. '.' is not recognized as an internal or external command, operable program or batch file. make: *** /rpvm: No such file or directory. Stop. make: *** [pkg-rpvm] Error 2 *** Installation of

Hi I tried to cross compile R under Linux but get an error. i586-mingw32-gcc -isystem /home/schouwl/unpack/mingw/include -O2 -Wall -pedantic -I../include -I. -DHAVE_CONFIG_H -DR_DLL_BUILD -c dynload.c -o dynload.o dynload.c: In function `R_loadLibrary': dynload.c:94: warning: implicit declaration of function `_controlfp' dynload.c:94: error: `_MCW_IC' undeclared (first use in this

> From: Lars Schouw > > Can anyone explain what this means the NEWS for for > 2.1 beta? > > R is now linked against ncurses/termlib/termcap only > if > readline is specified (now the default) and that > requires it. > > I get an error while running configure: > checking for history_truncate_file... no > configure: error: --with-readline=yes (default) and

We are trying to compile and run the ttest.c example that comes with R (in C:\Program Files\R\rw1081\src\library\windlgs\src\ttest.c). After compiling it with MS Visual C++ we load the DLL with dyn.load. So far it seems good, but when we try to call it from R (after running C:\Program Files\R\rw1081\src\library\windlgs\R\windlgs.R) R crashes. We have tried changing the exports from DLL but have

Un texte encapsul? et encod? dans un jeu de caract?res inconnu a ?t? nettoy?... Nom : non disponible Url : https://stat.ethz.ch/pipermail/r-help/attachments/20071010/d6c89c66/attachment.pl

Hi, I installed package 'lars' earlier tonight and did not get any sort of error message. ### ** building package indices ... ** testing if installed package can be loaded Loaded lars 0.9-8 * DONE (lars) ### However, when I try to load it, I get ### > library(lars, lib.loc = "~/R/x86_64-redhat-linux-gnu-library/2.11") Error : .onLoad failed in loadNamespace() for

Hi,   I'm using lars package to run some regression analysis and my doubt now is how can I predict my model to another dataset? Let me explain a little better: I have a dataset from which I withhold some data. With the data that wasn't withheld, I create the model. Now, what I'm not being able to do is apply the model back to the data that I withheld. Any suggestions?   Here it goes

Hello, I have a question about the lars package. I am using this package to get the coefficients at a specific LASSO parameter s. data(diabetes) attach(diabetes) object <- lars(x,y,type="lasso") cvres<-cv.lars(x,y,K=10,fraction = seq(from = 0, to = 1, length = 100)) fits <- predict.lars(object, type="coefficients", s=0.1, mode="fraction") Can I assign

We have been using Least Angle Regression (lars) to help identify predictors in models where the outcome is continuous. To do so we have been relying on the lars package. Theoretically, it should be possible to use the lars procedure within a general linear model (glm) framework - we are particular interested in a logistic regression model. Does anyone have examples of using lars with logistic

Hi, Is it possible to create Rose Diagrams of wind data (speed & direction) with R?? Best regards, Lars Peters ----- Lars Peters University of Konstanz Limnological Institute D-78457 Konstanz Germany phone: +49 (0)7531 88-2930 fax: +49 (0)7531 88-3533 e-mail: Lars.Peters@Uni-Konstanz.de web: Lars Peters <http://www.uni-konstanz.de/sfb454/tp_eng/A1/doc/peters/peters.html>

I'm hoping that someone with deeper insight into S4 than I, that is to say virtually everyone reading this list, could help resolve the following problem in SparseM. We have setGeneric("backsolve", function(r, x, k = NULL, upper.tri = NULL, transpose = NULL, twice = TRUE, ...) standardGeneric("backsolve"), useAsDefault= function(r, x,

I think I've hit the same problem that Predrag reported in http://comments.gmane.org/gmane.comp.emulators.libvirt.user/8825. With libvirt-1.3.2-1.fc23.x86_64 on Fedora 23, when I try uploading an image with vol-upload to a user libvirtd (qemu:///session): virsh vol-upload --pool default volume.qcow /path/to/file.qcow2 I am getting: error: Disconnected from qemu:///session due to

Dear all, I met a problem when installing new packages on R, my system is linux fedora 6.0, the following is output. please help me. Thanks. > install.packages('lars') --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done trying URL 'http://www.stathy.com/cran/src/contrib/lars_0.9-5.tar.gz' Content type 'application/x-tar' length

I am attempting to use the lars package with a sparse input feature matrix, but the following fails: library(Matrix) library(lars) data(diabetes) attach(diabetes) x = as(as.matrix(as.data.frame(x)), 'dgCMatrix') lars(x, y, intercept = FALSE) Error in scale.default(x, FALSE, normx) : > > length of 'scale' must equal the number of columns of 'x' > > More

Dear R-users I'm trying to use lasso in lars package for subset regression, I have a large matrix of size 1000x100 and my aim is to select a subset k of the 100 variables. Is there any way in lars to fix the number k (i.e. to select the best 10 variables) library(lars) aa=lars(X,Y,type="lasso",max.steps=200) plot(aa,plottype="Cp") aa$RSS which.min(aa$RSS)

Hi here is the code as example lars is in package lars > x<-matrix(rnorm(20*5,0,1),20,5) > bs<-matrix(sample(seq(1:10),5),5,1) > er<-rnorm(20,0,1) > y<-x%*%bs+er > lobj<-lars(x,y,type="lasso") > names(lobj) [1] "call" "type" "df" "lambda" "R2" [6] "RSS"

hello I tried to use lars() but neither with my own data nor with the sample data it works. I get in both cases the following error prompt: > data(diabetes) > par(mfrow=c(2,2)) > attach(diabetes) > x<-lars(x,y) Error in one %*% x : requires numeric matrix/vector arguments > x<-lars(x,y, type="lasso") Error in one %*% x : requires numeric matrix/vector arguments

Hi! I encountered some things trying to build own packages under Windows 2000 for which i found no answer in the documentation. First. 1. I do not found the rcmd.exe in the bin directory of R_HOME. I installed R using the setup.exe 2. I updated the R intatllation with one of the zip files. (rw1041sp.zip) now i had the rcmd.exe in the bin. 3. I do not found any hint in the docu that perl is

Hi All, I have already used gcc to creat a library, for example, it is called "test.a", which includes many c objects. How to link my main "a.c" function to this library when I used Rcmd SHLIB to complier my main c program? I tried "Rcmd SHLIB a.c test.a". It does not work this way. Does anyone have idea about this? Thanks, Xiaoping