similar to: Why is my R package still compiling with the O2 flag?

Dirk, thank you a thousand times. Indeed, src/Makevars was wrong. I modified Makevars so that now looks like the below and the package now compiled and linked properly. CXX_STD = CXX11 PKG_LIBS += $(SHLIB_OPENMP_CXXFLAGS) $(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS) $(shell ${R_HOME}/bin/Rscript -e "RcppParallel::RcppParallelLibs()") PKG_CXXFLAGS = $(SHLIB_OPENMP_CXXFLAGS) -I../inst/include

Dear R experts, recently I started developing a Rcpp package "OpenMPTest". Within that package I want to use OpenMP, as in the following code example: // header file #include <omp.h> using namespace Rcpp ; RcppExport SEXP testOpenMP( SEXP nThreads ) ; // cpp file SEXP testOpenMP( SEXP nThreads ) { BEGIN_RCPP NumericVector numberThreads = NumericVector( nThreads );

Hi, I can not install packages from source which links to RcppArmadillo on Ubuntu 20.04 (after upgrading from 18.04). The following problem occurs: ** testing if installed package can be loaded from temporary location Error: package or namespace load failed for 'myPackage' in dyn.load(file, DLLpath = DLLpath, ...): unable to load shared object

Hi! I tested two different implementations of the robust MCD estimator: cov.mcd from the MASS package and covMcd from the rrcov package. Tests were done on the hbk dataset included in the rrcov package. Unfortunately I get quite differing results -- so the question is whether this differences are justified or an error on my side or a bug? Here is, what I did: > require(MASS) >

This is my first post requesting help to this mailing list. I am new to R. My apologies for any breach in posting etiquette. I am new to this language and just learning my way around. I am attempting to run some sample code and and am confused by the error message: Loading required package: rrcov Error in fitNorm2(fdat[, "FSC-H"], fdat[, "SSC-H"], scalefac = ScaleFactor) :

Dear all, I recently uploaded a new package Rlibeemd to CRAN (http://cran.r-project.org/web/packages/Rlibeemd/index.html, and in github: https://github.com/helske/Rlibeemd), and simple example in help files seems to throw an error on Solaris: Version: 1.3.1 Check: examples Result: ERROR Running examples in ?Rlibeemd-Ex.R? failed The error most likely occurred in: > ### Name:

Hello, I'm using the R-2.13.1 version in Windows and I'm trying to do a robust Pca with the following: x<-matrix(0.5,30,30) library("rrcov") y<-PcaCov(x) The following error occurs: Error: diff(sv)<0 ist not all TRUE The same error occurs with the other functions. What does this mean and how can I perform the robust PCA with these functions by using a quadratic

[Env: R 2.14.2 / Win Xp] In the script below, I want to select some variables from rrcov::OsloTransect, delete cases with any missing data, and subset the data frame Oslo to remove cases for two levels of the factor litho that occur with low frequency. The checks I run on my new data frame Oslo look OK, but I when I try to fit a multivariate linear model with lm(), I am getting an error:

Dear all, The other day I was reading this post [1] that slightly surprised me: "To reject the null of no correlation, an hypothsis test based on the normal distribution. If normality is not the base assumption your working from then p-values, significance tests and conf. intervals dont mean much (the value of the coefficient is not reliable) " (BOB SAMOHYL). To me this implied that in

Hello, I'm using a Makevars.in file and running my code through gdb. I understand i should turn of -O2, but R's makeconf overrides my settings /ln/meraki/custom/lib64/R/etc/Makeconf:112: warning: overriding commands for target `.cc.o' in Makevars.in .cc.o: g++ -g ${PKG_CXXFLAGS} ${PKG_LIBS} ${RINC} ${RLIB} -c $< -o $@ Thank you S.

Hi, I want to do a 2 sample hotelling's test but i can't figure out how. When i type T2.test it says there is no such test and when i tried library(rrcov) it says there is no such program. Cheers. -- View this message in context: http://r.789695.n4.nabble.com/How-to-do-Hotelling-s-t2-test-tp4128748p4128748.html Sent from the R help mailing list archive at Nabble.com.

I haven't seen this cryptic warning before: > update.views('Robust') Warning message: In update.views("Robust") : The following packages are not available: covRobust, distr, FRB, MASS, mblm, multinomRob, mvoutlier, quantreg, RandVar, rgam, RobAStBase, robfilter, RobLox, RobRex, robust, RobustAFT, robustbase, ROptEst, ROptRegTS, rrcov, sandwich, wle >

Hi, I have a strange package installation problem after update to R 2.11.0 on Fedora Core 12. A colleague of mine with the very same Fedora and R versions doesn't have this problem, while logging on to his computer but installing from my settings and into my local library path also shows the problem, so it seems to be related to some of my environment settings. Installation of several

On 18 March 2017 at 14:21, Jeroen Ooms wrote: | R 3.4 has 'experimental' support for setting CXX_STD to CXX98 / CXX11 | / CXX14 / CXX17. R 3.1.0 introduced CXX11 support. R 3.4.0 will have CXX14 support. So I would only refer to the CXX17 part as experimental. | However on most platforms, the R configuration seems to leave the | CXX1Y and CXX1Z fields blank in

R 3.4 has 'experimental' support for setting CXX_STD to CXX98 / CXX11 / CXX14 / CXX17. However on most platforms, the R configuration seems to leave the CXX1Y and CXX1Z fields blank in "${R_HOME}/etc/Makeconf" (rather than falling back on default CXX). Therefore specifying e.g CXX_STD= CXX14 will fail build with cryptic errors (due to compiling with CXX="") I

C++ support across different platforms is now very heterogeneous. The standard is evolving rapidly but there are also platforms in current use that do not support the recent iterations of the standard. Our goal for R 3.4.0 is to give as much flexibility as possible. The default compiler is whatever you get "out of the box" without setting the "-std=" flag. This means different

I'm looking for something in R to fit a multivariate linear model robustly, using an M-estimator or any of the myriad of other robust methods for linear models implemented in robustbase or methods based on MCD or MVE covariance estimation (package rrcov). E.g., one can fit an mlm for the iris data as: iris.mod <- lm(cbind(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width) ~ Species,

What would be nice is to have something like a "robust" task view... Andy From: Berton Gunter > > Many thanks for this Martin. There now are several packages > with what appear to be overlapping functions (or at least > algorithms). Besides those you mentioned, "robust" and > "roblm" are at least two others. Any recommendations about > how or

The attached code produces corrupted pdfs (test2.pdf, test4.pdf and test5.pdf). The resulting pdf depends on how many cores are available on the machine. I don't see why there should be any difference between the pdfs (exept for the timestamp). Doing many operations involving mclapply can increase the size of the resulting pdf by ten times! Thank you for checking this. require(multicore)

In C++ code for use in a R-3.1.0 package, my specific problem is that I would like to use <unordered_map> if it is available, or <tr1/unordered_map> if not, or <map> if all else fails. I (think I) can accomplish this with configure.ac as AC_INIT("DESCRIPTION") CXX=`"${R_HOME}/bin/R" CMD config CXX` CXXFLAGS=`"${R_HOME}/bin/R" CMD config