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.
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