Search Archives

Dear Simon Thank you for the link. This is exactly the kind of statement that I was looking for. I searched the archives for any mention of the GPL, for posts by Prof. Leisch and some other keywords before posting...

> I am aware of those discussions, and am not advocating for a change of the current practices of the CRAN maintainers. But if the current practices of the R project are in conflict with the FSF interpretation of the GPL...

> Fingers are pointing to the R end of things, rather than the RInside wrapping > of it. If this can be improved, great. To verify, executing #include <Rembedded.h> int main(int argc, char **argv) { Rf_initEmbeddedR(argc, argv); Rf_endEmbeddedR...

> I assume there must be a "nothing we can do about" reason why RInside > works the way it does. So I wonder if you can create a global RInside > instance using a global test environment call? > > http://code.google.com...

The following program #include <RInside.h> void foo() { RInside R; } void bar() { RInside R; } int main(int argc, const char * argv[]) { foo(); bar(); return 0; } produces a great number of the following two lines Error: bad target context--should NEVER...

Dear Dirk Thank you for the reply (and for Rcpp and RInside). > | Question: Is the RInside destructor not working properly? I would have expected that both in foo() and bar(), an instance of R is created and then destroyed| immediately...

Dear Marc > 2. Can non-GPL compatible packages for R even be created (even if "pure R"), based upon the interpretation of the GPL that Christian has postulated? I am not trying to offer my own interpretation of the GPL...

I am developing R functions that interface with C++ code from the OpenCV library. During development and unit testing, I embed an R instance to prepare the environment in which the function encapsulating OpenCV code is called. Running the unit...

Given a large data.frame, a function trains a series of models by looping over two steps: 1. Create a model-specific subset of the complete training data 2. Train a model on the subset data The function returns a...

Hi Martin Thank you for your reply. > On 30 May 2018, at 12:03, Martin Maechler <maechler at stat.math.ethz.ch> wrote: > >>>>>> Christian Sigg >>>>>> on Wed, 30 May 2018 11:08:38 +0200 writes: > >> I am updating the ?nsprcomp...

I am updating the ?nsprcomp? package to follow the recommendations of Section 1.1.3.1 of the Writing R Extensions manual. Before the update, the example code for the `nsprcomp` function looked like this: > library(MASS) > set.seed(1...

I intend to submit a newly developed package to CRAN (to be licensed under the GPL), which prompted me to re-read the GPL FAQ. The following section caught my attention: > If a programming language interpreter is released under the...

Hi John I am currently traveling and have sporadic net access, I therefore can only answer briefly. It's also quite late, I hope what follows still makes sense... > For regular PCA by prcomp(), we can easily calculate the percent...

Dear Duncan > I don't think my point contradicts the FSF interpretation. I think they were talking about using GPL modules in a program you distribute, with the implication that you are distributing the modules along with your program. However...

Dear Marc The GPL FAQ section that I quoted addresses all the points that you raise: > There are some questions that need to be answered, since these types of questions have to be answered within specific contexts. For example: > > 1...

Hi John > 1). Assume now I can calculate these "adjusted" standard deviation from sparse PCA, should the percent variation explained by each sparse PC be calculated using the sum of all these "adjusted" variance (i.e. square of the "adjusted...