[R] Reproducibility Between Local and Remote Computer with R
Kevin Egan
kev|neg@n31 @end|ng |rom gm@||@com
Sat Aug 8 16:15:16 CEST 2020
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 <jdnewmil using dcn.davis.ca.us> wrote:
>
> Compare the sessionInfo outputs for the different environments.
>
> On August 7, 2020 1:24:55 PM PDT, Kevin Egan <kevinegan31 using 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 using r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>> and provide commented, minimal, self-contained, reproducible code.
>
> --
> Sent from my phone. Please excuse my brevity.
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