Local: R version 4.0.2 (2020-06-22) Platform: x86_64-apple-darwin17.0 (64-bit) Running under: macOS Catalina 10.15.6
Matrix products: default BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib locale: [1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base loaded via a namespace (and not attached): [1] crayon_1.3.4 dplyr_1.0.0 R6_2.4.1 lifecycle_0.2.0 magrittr_1.5 pillar_1.4.3 [7] rlang_0.4.7 rstudioapi_0.11 vctrs_0.3.1 generics_0.0.2 ellipsis_0.3.0 tools_4.0.2 [13] glue_1.4.1 purrr_0.3.4 yaml_2.2.1 compiler_4.0.2 pkgconfig_2.0.3 tidyselect_1.1.0 [19] tibble_3.0.1 Remote: > sessionInfo() R version 3.6.3 (2020-02-29) Platform: x86_64-pc-linux-gnu (64-bit) Running under: CentOS Linux 7 (Core) Matrix products: default BLAS/LAPACK: /ddn/apps/Cluster-Apps/intel/2019.5/compilers_and_libraries_2019.5.281/linux/mkl/lib/intel64_lin/libmkl_gf_lp64.so locale: [1] C attached base packages: [1] stats graphics grDevices utils datasets methods base loaded via a namespace (and not attached): [1] compiler_3.6.3 > On 8 Aug 2020, at 08:17, Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: > > Compare the sessionInfo outputs for the different environments. > > On August 7, 2020 1:24:55 PM PDT, Kevin Egan <kevinega...@gmail.com> wrote: >> I posted this question: >> >> I am currently using R , RStudio , and a remote computer (using an R >> script) to run the same code. I start by using set.seed(123) in all >> three versions of the code, then using glmnet to assess a matrix. >> Ultimately, I am having trouble reproducing the results between my >> local and the remote computer's results. I am using R version 4.0.2 >> locally, and R version 3.6.0 remote. >> >> After running several tests, I'm wondering if there is a difference >> between the two versions in R which may lead to slightly different >> coefficients. If anyone has any insight I would appreciate it. >> >> Thanks. >> >> and found that there were slight differences between using rnorm with >> R-4.0.2 and R-3.6.0 but did not find any differences for runif between >> both systems. In my original code, I am using rnorm and was wondering >> if this may be the reason I am finding slight differences in >> coefficients for glmnet and lars testing between using my local >> computer (R-4.0.2) and my remote computer (R-3.6.0). I am running my >> code locally on a MacOSX and remote on what I believe is an HPC. >> >> Thanks. >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > -- > Sent from my phone. Please excuse my brevity. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
