similar to: -lgsl -lgslcblas fatal error no such file or directory

Hello, I tried this posted on the R devel subforum but no help so far. Maybe the wider net will be fruitful. Probably a pretty simple issue. The short story goes, I'm writing C source code and compiling it in as *.dll in the windows terminal by R CMD SHLIB foo.c. It works, I'm on a 64-bit system. I have the lastest R 2.15.0 and Rtools, and I am using the gcc 4.6.3 compiler. However,

Rcpp version 0.7.0 went onto CRAN this weekend. The key new features are o inline support, taken from Oleg Sklyar's neat inline package and adapted/extented to support Rcpp as well as external libraries (see below for an example); this even works on Windows (provided you have Rtools installed and configured); o addition of a new simple type RcppSexp for importing or

Rcpp version 0.7.0 went onto CRAN this weekend. The key new features are o inline support, taken from Oleg Sklyar's neat inline package and adapted/extented to support Rcpp as well as external libraries (see below for an example); this even works on Windows (provided you have Rtools installed and configured); o addition of a new simple type RcppSexp for importing or

Hi, I've got a matrix, Z, of values representing (as it happens) optical power at each pixel location. Since I know in advance I've got a single, convex peak, I would like to do a 2D parabolic fit of the form Z = poly((x+y),2) where x and y are the x,y coordinates of each pixel (or equivalently, the row, column numbers). Is there an R function that lets me easily implement that?

Hi, Suppose I have a multivariate response Y (n x k) obtained at a set of predictors X (n x p). I would like to perform a linear regression taking into consideration the covariance structure of Y within each unit - this would be represented by a specified matrix V (k x k), assumed to be the same across units. How do I use "lm" to do this? One approach that I was thinking of

Hello List! I asked this before (with no solution), but maybe this time... I'm trying to project a surface to the XY under a 3d cloud using lattice. I can project contour lines following the code for fig 13.7 in Deepayan Sarkar's "Lattice, Multivariate Data Visualization with R", but it fails when I try to "color them in" using panel.levelplot. ?utilities.3d says there

Dear R-list, I want to use shared library of gsl in R(2.15.1) on unix .I have a makefile such as CC = gcc CFLAGS = -fPIC -O2 PKG_LIBS -lgsl -lgslcblas -lm -lpthread ? OBJS_SPB = calc_spb.o k.o dk.o ddk.o ? ? calc_spb.so : $(OBJS_SPB) ? ????? $(CC) -shared -o calc_spb.so $(LIBS) $(OBJS_SPB) ? clean : ????? rm -f ../*.o *.o ? clean.so: ????? rm -f *.so ? I use R CMD SHLIB calc_spb.c in terminal

I have an upcoming JASA paper with an iid sampling algorithm for Bayesian Generalized Linear models (e.g., Logit, Poisson Regression, and Conditional Logit models with multivariate normal priors). At this point, I have implemented the algorithms in C and hope to make the functions and corresponding source code available through an R package. I have successfully created the code necessary to

Hi, I am new in writing R extension. I read the "Writing R Extensions", and search online but just cannot find the answer. I am trying to add c-code, which depend on GSL C library, into my R package. I am using Max OS-X 10.4.3, powerpc-apple-darwin8-gcc-4.0.1 I begin wtih package.skeleton, and then add my c file into folder src and then add file Makevars: PKG_LIBS=-lgsl

Following the recommendation of Prof. Ripley, I have created the Makevars file with the line: PKG_LIBS="-L/usr/lib/libm -lm -L/usr/local/lib/libgsl -lgsl -L/usr/local/lib /libgslcblas -lgslcblas" in the working directory. Now I have the code file Example3.c which computes the Bessel function value (the example is taken from the GSL reference book). I am running: R CMD SHLIB Example3.c

I tried to dynamically load a c++ function. Everything seems to be OK when dyn.load() is executed but then I get this error Error in .C("integral", sumInMean, sumInVar, boundError, numberSampleClasses, : C/Fortran function name not in load table The code of the function is something like this: #include <cmath> extern "C" { #include

Hello: If anyone could guide me with this I would greatly appreciate it. Thanking you in advance for your assistance. Using a 3-level input factor alternative so that a function(below) can compute both a two-sided and one-sided p-values. Making the two-sided test the default. And produce output information about which alternative was tested. Where would I place the ifelse statement?

This was sent to me by someone on the R-list ( I don't know her ) but I don't have time to look at this right now so I told her I would send it to the R-list because she said it keeps getting bounced when she sends it. #======================================================================= ==================================================================== I am a bit confused with

On 13/09/2017 9:10 AM, David Brayford wrote: > Hi Duncan, > > The output of gsl-config --version > 2.3 > > The output of gsl-config --cflags > -I/lrz/sys/libraries/gsl/2.3/include > > The output of gsl-config --libs > -L/lrz/sys/libraries/gsl/2.3/lib -lgsl -lgslcblas -lm > > gsl_version.h cat output > #define GSL_VERSION "2.3" > #define

When a disk image uses LVM thinp (thin provisioning), the guestfs_lvs API would return the thinp pools. This confused other APIs because thinp pools don't have corresponding /dev/VG/LV device nodes. Filter the LVs that are returned using "lv_role=public". Thanks: Fabian Deutsch --- daemon/lvm.c | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/daemon/lvm.c

Thank you to everyone who responded to my previous post regarding the integration into R of C programs that use external libraries. I have another issue that I simply have not been able to figure out using documentation, list archives, and so forth. I have data that is stored in R lists. I would like to pass the list to C code using the .Call function, perform mathematical operations on the

On Tuesday 10 November 2015 12:06:21 Richard W.M. Jones wrote: > When a disk image uses LVM thinp (thin provisioning), the guestfs_lvs > API would return the thinp pools. This confused other APIs because > thinp pools don't have corresponding /dev/VG/LV device nodes. > > Filter the LVs that are returned using "lv_role=public". > > Thanks: Fabian Deutsch >

https://bugzilla.redhat.com/show_bug.cgi?id=984236 kernel-3.10.0-1.fc20.x86_64 Should it be possible to mkfs.btrfs on a virtual LV backed by LVM thinp? I can successfully create an XFS fs on the same virtual device. The virtual LV is 16TB in size, I haven''t tried anything smaller yet to see if that''s the problem. There is a dmesg attached to the bug report. Just because it

Hello, fellow Rdicts, I have the code for the program below. I need to integrate a function of "x" and "p". I use integrate to integrate over "x" and pass "p" as an additional argument. "p" is specified and given default value in the argument list. Still, integrate() cannot read "p", unless I explicitly insert a numeric value in the

I'm trying to do the following out of sample regression with autoregressive terms and additional x variables: y(t+1)=const+B(L)*y(t)+C(1)*x_1(t)...+C(K)*x_K(t) where: B(L) = lag polynom. for AR terms C(1..K) = are the coeffs. on K exogenous variables that have only 1 lag Question 1: ----------- Suppose I use arima to fit the model: