similar to: how to compile R source code under Win NT?

>This mean that the specs file of Cygnus gcc is different from the >mingw32 one. OK thanks (I added main() {} as per FAQ and I got the dynload to build a dll ok) I am also interested in building the R sources as per your descriptions. To simplify things, I have removed b18 cygwin and have now installed egcs-mingw32 with your djtools as recommended. Everything seems to work OK; tools that

Dear All, I am trying to fiugre out how install packages on the base system. The "FAQ" tells me that more details can be obtained by typing "help(install.packages)", but my R system gives me an error message when I did that. I also tried "help(PACKAGES)", "help(install.packages())", but none worked. Anybody can help? I am running R 1.1.1 on WinNT 4.

I was wondering whether somebody has developed a set of Textpad macro that work with R the same way as WinEdt does. I use Textpad for almost everything (programming, creating LaTex docs, etc.), it will be nice if I can use it as my R program editor. Or maybe someone can tell me how that kind of macro works so that I can develop my own macros. Thank you! Best, Shige Song Department of Sociology,

I'm not sure you understand the problem. Are you saying that a file compiled with mingw can catch an exception thrown by a file compiled with VC++ when the two are linked into a single program? That a program compiled with mingw can be linked against the VC++ runtime and *not* the mingw/gcc runtime? Linking against system DLLs is very different from what I'm talking about. Adam

On Friday 18 February 2005 11:40 am, Jeff Cohen wrote: > I'm not sure you understand the problem. I wouldn't be surprised :) > Are you saying that a file > compiled with mingw can catch an exception thrown by a file compiled > with VC++ when the two are linked into a single program? That a program > compiled with mingw can be linked against the VC++ runtime and *not*

I'm afraid that still does not completely answer the question. I'll accept that it will work for C programs, given what you quote. It says nothing about C++ however. That's a different animal entirely. g++ mangles names in a completely different fashion than VC++. Does mingw use VC++ style mangling? g++ processes exceptions in a completely different fashion than VC++. I

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Please ignore my ignorance, I'm new to R, but starting a longish project that will use R a lot. (a computer scientist learning about stats at the same time). Did anybody alreay write a XML parser for R? XML, as we will have tons of data-interchange with all sorts of other programs and XML is good for giving meaning to raw data. I checked the FAQs and the documentation, but didn't find

I like to have a continuously running R process, which can receive a dataframe from a client (over TCP/IP), does some processing, and sends some data back. What is the prefered way to do this? Using the socket interface? Using omega's CORBA stuff? Does anyone has example code for doing so? Thanks for any help Regards -- Dr. Jens Oehlschl?gel-Akiyoshi Analyse MD FACTORY GmbH Gr?nstr. 15

Full_Name: Thomas Vogels Version: 0.64.1 OS: AIX 4.2 Submission from: (NULL) (198.133.22.70) R_problem_buf is defined, not just declared, in S.h: #define R_PROBLEM_BUFSIZE 4096 char R_problem_buf[R_PROBLEM_BUFSIZE]; This is bad since every time S.h is included this buffer is defined. The linker will eventually complain about multiple definitions of this symbol. Solution: declare

Why does the source use `int64_t'. Is this suppose to be built with GCC? I have Mumit Kahns gcc, version 2.8.1. Do I need a 2.9.5 version to get the `int64_t' type? I have substituted a typedef of `long long' in os_types.h. This seems to make sense? The rint() macro also seems to be having some problems. I guess there are two meanings to __GNUC__ and _WIN32. One is the OS and

Dear All, I am trying to graph a simple scatter plot where the x axis is year and the y axis is a percentage (percentage of infant death). Instead of plotting the raw data, I want to plot summary statistics such as mean and median. Here is the problem: the value range of y is between 0 and 1, but since infant death is a rare event, the mean and median is very low (something like 5%), which shows

Version: platform = i686-pc-linux-gnu arch = i686 os = linux-gnu system = i686, linux-gnu status = major = 1 minor = 1.0 year = 2000 month = June day = 15 language = R Search Path: .GlobalEnv, Autoloads, package:base The function will produce a three page file, but only the first one has the lwd parameter set. The other pages have reverted to lwd = 1. I've tried setting the

Dear All, With kind help from several friends on the list, I am getting close. Now here are something interesting I just realized: for random effects, lmer reports standard deviation instead of standard error! Is there a hidden option that tells lmer to report standard error of random effects, like most other multilevel or mixed modeling software, so that we can say something like "randome

Dear All, I am fitting a simple GAM model using the "gam" function in the "mgcv" package. The only independent variable is a continuous variable representing the time of the event (in year and month) coded so that "0" represents January 1960, "1" represents February 1960, etc. Now when I try to plot the results, my x-axis ranges from "-200" to

I've just installed Mandrake Linux, then compiled R-0.65.1 . Whether because I omitted some necessary items when I selected software for installion, or because they anyway needed to be loaded afterwards, I found it necessary to load the following packages in order to compile R-0.65.1 pgcc-g77-1.1.3-3mdk.i586.rpm (Fortran g77 compiler) XFree66-devel-3.3.5-3mdk.i586.rpm (X.h etc

Dear All, I have been using Sweave (mainly via the Sweave.sh script) and really like it. I am working a paper (using Sweave, of course) which includes several time-consuming computations, and it gets tedious to re-compile the whoel thing every time I made changes. Then I discover the "cacheSweave" package, which seems the right solution to my problem. I only have on problem. Here is

Hi All, I've done some work recently making some of our image analysis library callable from R and Splus. Most of the C image functions use an abstract data type, and R only sees a pointer to this. All memory allocation is done by the library. This leads to some interesting problems. I'm interested in your views about possible solutions. 1) assignment. something like a<-b, where a and

Dear All, I am doing a growth modeling using NLME. I have three levels in my data: observation, individual, household. About half of my total sample have missing values in my household-level covariates. Under this situation, the best way to go is probably to multiply impute the data (for, say, 5 times), estimate the same model separately on each model using LME function, and merge the results. My

Hi, I downloaded the new R 2.1.1 source, compiled and installed on my suse 9.3 box. Then I installed the package Rcmdr. Surprisingly, I cannot type anything onto the script window. I uninstalled R and grabbed an rpm version from CRAN, installed it, and installed Rcmdr, same problem! Has anyone else had this problem? Shige