similar to: about create a R package

Hello, everybody, I created a R package which includes C code. But I load this package, and carry out the R function in it. It shows C function is not in load table as follows. Would you tell me what is the problem? Where do I make mistake? Maggie [Previously saved workspace restored] > library(var) Attaching package 'var': The following object(s) are masked _by_

Hello, everybody, Happy New Year! I am a graduate student from Concordia University. I meet a problem when I am working on my thesis. I hope I will get help from you. I have a mathematical model which was already implemented by using R language. However, part of this model includes fixed point iteration algorithm and calculation of large linear equations which n will get to 5000. Because of

hello, everybody, I create a package by myself named "var" on Linux system. I attach a C code which uses "R_ext/Lapack.h" in directory "src". But when I carry out " R CMD check var", it shows > wxt0124() Error in .C("wxt1221", PACKAGE = "var") : C function name not in DLL for package var Execution halted Could you tell me what is

hello, I have a c code which uses clapack. I want to integrate R with this code. It said that I create a R package including my c code. Then build it with putting PKG_LIBS = $(LAPACK_LIBS). I want to know the interface LAPACK_LIBS is Fortran or C? If it is written in Fortran, how can I build them together? If I can build them together, I still use the function in cLapack or the function in

Hello, I can't link a c code with Mathlib according to introduction of R manual "Writing R Extensions", page 60. It is written : "It is possible to build Mathlib, the R set of mathematical functions documented in 'Rmath.h?, as a standalone library 'libRmath? under Unix and Windows. (This includes the functions documented in Section 5.7 [Numerical analysis

Hello, everybody, I met a big problem. What I want is to use c code in R. I have load a test code "conv.c" in R and run it successfully. However, in my real code, I use matlab c library (Matrix Inverse function). After I use command "R CMD SHLIB" to share library, I can not use "dyn.load" to load the object in R. "undefined symbol:

hello, I create a package which includes C code and Lapack. But when I run " R CMD check ". an error message, "/usr/bin/ld: cannot find -lfrtbegin " occurs. could you tell me what is the problem? the detailed message is as follows: [credsim@confsys ~/src]$ R CMD check var * checking for working latex ... OK * using log directory '/home/credsim/src/var.Rcheck' *

Hello, all, I have the same question as the last mail I sent. I have installed libRmath in my system. But I still can not link Rmath through -lRmath. The whole process is as follow.Is there anybody who is so kind to help me find out the problem? I will appreciate very much. [credsim at confsys ~]$ cd /usr/lib [credsim at confsys lib]$ ls -l libR* -rw------- 1 bcdesai bcdesai 237828 Apr

Hi, I run the following tuning function for svm. It's very strange that every time i run this function, the best.parameters give different values. [A] >svm.tune <- tune(svm, train.x, train.y, validation.x=train.x, validation.y=train.y, ranges = list(gamma = 2^(-1:2), cost = 2^(-3:2))) # where train.x and train.y are matrix

Hi, I had a hard time in learning nlm in R and appreciate any help. I encounted the following error message from time to time when I tried different starting parameter values (three parameter values in this case) in nlm(f=SS.fun,p=c(0.1/40,0.1,2),hessian = FALSE,N.measure=object,h=20) Error in f(x, ...) : only 0's may mix with negative subscripts Basically I know the three parameter

hello, everybody, I met a problem that I want to generate a random uniform number by using function with c interface. What I found is only "unif_rand()", but its range is [0,1]. How can I create a uniform random variable by using a function with c interface. Who can tell me what function it is and how to use? I will appreciate for it very much. Thanks in advance! xiaotong wang

Dear R-Users, I want to ask a question for a colleague of mine. He wants to put a character vector and a numeric vector into one matrix and still have the old character and numeric type for the respective columns. Unfortunately, I am just starting using R and I could not help him. Is there an easy and straightforward way to do this in R? Maybe a little example facilitates understanding our

There is also the OptimizeR project on R-forge http://r-forge.r-project.org/R/?group_id=395. Other related projects are there also, but I'll let their authors speak for themselves. Stefan Theussl did a good job in the Task View, but it is from last June, and it would be a monumental effort to keep up to date with all the work going on. We're "almost" ready to put some of our

Hello, I am now running a multiple linear regression program, but I do not know the difference between the command step and stepAIC. Thanks. Maggie [[alternative HTML version deleted]]

Hi, I am writing a program to plot the correlation coefficients of 45 elements using the commend "plot". Error message "Error in plot.new() : figure margins too large" appeared. I think it may because there are too many elements. But I really need to find their correlation coefficients. What can I do? Thank you. Maggie [[alternative HTML version deleted]]

Dear List, With regard to the question I previously raised, here is the result I obtained right now, brglm() does help, but there are two situations: 1) Classifiers with extremely high AIC (over 200), no perfect separation, coefficients converge. in this case, using brglm() does help! It stabilize the AIC, and the classification power is better. Code and output: (need to install package:

Hello R folks, I'm hoping the answer to the question in the subject line. I have in the past used SAS PROC NLIN and PROC NLP to carry out nonlinear optimizations. I'm wondering if there is analogous ways for doing this using R. If so, could someone please point me to some literature that would help me examine this further? Thanks very much. [[alternative HTML version deleted]]

Dear Sirs: I am not yet a user of R. My background includes the use of (Turbo) Pascal for scientific analysis of underwater acoustics problems (e.g. sound ray tracing and array gain in directional noise fields.) I have become interested in the following type of problem: (1) select , say, 1000 random locations within the continental United States; (2) characterize (statistically) the

Dear R-users, I use glm() to do logistic regression and use stepAIC() to do stepwise model selection. The common AIC value comes out is about 100, a good fit is as low as around 70. But for some model, the AIC went to extreme values like 1000. When I check the P-values, All the independent variables (about 30 of them) included in the equation are very significant, which is impossible, because we

Full_Name: David Heffernan Version: 1.3.1 OS: Windows & Linux Submission from: (NULL) (158.152.160.7) The command detach(package:base) kills R with segmentation fault on Linux and an access violation on Windows. I guess the same will happen on any platform. Obviously this is a not a sensible command to execute but you could easily do it by accident particularly if using the pos parameter