similar to: Strange behavior of C compiled program

Hi the list, I am writing a package in S4 and I do not manage to understand a bug. The "R CMD check" and the "R CMD build" both work. Here is links to the package (not on CRAN yet for the raison that I explain bellow): http://christophe.genolini.free.fr/aTelecharger/kml_0.5.zip http://christophe.genolini.free.fr/aTelecharger/kml_0.5.tar.gz Then I install the package and I

Hi the list, Is there a way to give a matrix to a C function, and then to use it as a matrix ? I write a function to print a matrix, but I use it as a vector : 1. void printMatrix(double *mTraj,int *nbCol, int *nbLigne){ 2. int i=0,j=0; 3. for(i=0 ; i < *nbLigne ; i++){ 4. for(j=0 ; j < *nbCol ; j++){ 5. Rprintf(" %f",mTraj[i * *nbCol + j]); 6. } 7.

Hi the list, One of my package has a memory issue that I do not manage to understand. The Memtest notes is here: <http://www.stats.ox.ac.uk/pub/bdr/memtests/valgrind/kml-Ex.Rout> Here is the message that I get from Memtest --- 8< ---------------- ~ Fast KmL ~ ==27283== Invalid read of size 4 ==27283== at 0x10C5DF28: kml1 (kml.c:183) ... ==27283== by 0x10C5DE4F: kml1 (kml.c:151)

Hi, I'm trying to do a non-metric multidimensional scaling using isoMDS. However, I have some '0' distances in my data, and I'm not sure how to deal with them. I'd rather not drop rows from the original data, as I am comparing several datasets (morphology and molecular data) for the same individuals, and it's interesting to see how much morphological variation can be

Hello all (especially MCLUS users). I'm trying to make use of the MCLUST package by C. Fraley and A. Raftery. My problem is trying to figure out how the (model) identifier (e.g, EII, VII, VVI, etc.) relates to the covariance matrix. The parameterization of the covariance matrix makes use of the method of decomposition in Banfield and Rraftery (1993) and Fraley and Raftery (2002) where

> No HTML this time. Sorry Dear all, I am attempting to model some one-dimensional data using Gaussian mixture model with mclust.? Generally, the data that I have have 3 overlapping populations (with one of them being the majority, and the other two combining to less than 15%) and for some reason, mclust consistently ignores the smaller peaks, giving me strange values for the means

Dear useRs, I have fitted a mixture with 4 normal components on a univariate distribution using the Mclust package. Now, I would like to get a variable with the cluster membership of each class, or in alternative a variable with the posterior probabilities for each component. Also I cannot find where are the paramenters estimates for each component ,i.e. means and variances. I've read the

Frontend and backend changes needed to implement http://ovirt.org/page/Networking_UX#Option_3 --- src/app/controllers/host_controller.rb | 38 ++- src/app/services/host_service.rb | 35 ++ src/app/views/host/edit_network.rhtml | 593 ++++++++++++++++++++++++++++---- src/public/stylesheets/components.css | 76 ++++ 4 files changed, 676 insertions(+), 66 deletions(-) diff --git

I've been searching the Internet for information regarding the replacement of astdb with a modern sql engine. There are several reasons one would like to do this. First of all, external applications have a hard time reading/writing to the now-old astdb format. Also (and this is what interests me most), the sql astdb could easily be clustered throughout several servers (I'm looking for a

Dear Listmembers, wanting to learn more about ALTREP I wrote the following function to extract a subsequence from an integer vector: #include <Rinternals.h> SEXP integer_get_region(SEXP _x, SEXP _i, SEXP _n) { int i = INTEGER(_i)[0]; int n = INTEGER(_n)[0]; SEXP result = PROTECT(Rf_allocVector(INTSXP, n)); INTEGER_GET_REGION(_x, i, n, INTEGER(result)); UNPROTECT(1); return

Dear all, I'm analyzing a dataset (A) of 400 cases with 11 binary variables. Unfortunately, several (actually a lot) of cases are identical. NA are also present. I want to to plot distances between cases. For this, I obtained a distance matrix by dist(A, method="binary"). I then analyzed the obtained distance via Principal coordinate analysis with cmdscale(). Results are fine.

unix-odbc with Asterisk Realtime is one good way to use a different backend DB than MySQL. I haven't heard of "bit rot" problems running it over long times, but I'd like to if there are any. I'm particularly interested in seeing reports of Asterisk Realtime backed by Postgres. The problem with pointing dialplan DB functions like Set(DB) at unix-odbc (or any relational

If I have an object `obj` that is a SpecTask, and subsequently invoke it, is there a way to programmatically determine the number of tests that were successful, failed, and pending as a result of running that SpecTask? -- John Feminella Principal Consultant, Distilled Brilliance