Hi Ahmet,
An easy way is this:
library(ncdf4)
soilm<-nc_open("soilw.0-10cm.gauss.1949.nc")
soil_moist<-ncvar_get(soilm)
smdim<-dim(soil_moist)
# identify NA grid cells
sm_NA_count<-matrix(NA,nrow=smdim[1],ncol=smdim[2])
for(i in 1:smdim[1]) {
for(j in 1:smdim[2]) {
sm_NA_count[i,j]<-sum(!is.na(
Unfortunately, that is not a solution due to the constraints of file sizes
associated with the run time operations as well as specific execution workflows.
I need to make this a packaged distributable and the only blocker for it at the
moment is not being able to successfully bundle R as a stand
Hi Stephen,
Thanks, I’m now trying to use R 3.6.3 on the HPC, I was able to run a few
tests remote and get reproducible results. The batches have not yet run,
but I’m hoping will give reproducible results when they do.
Thanks,
Kevin
On Sun, Aug 9, 2020 at 08:42 stephen sefick wrote:
> Hi Kevi
Dear Jim,
Thanks a lot for your support.
Take care.
Md
On Wed, Aug 5, 2020 at 1:06 PM Jim Lemon wrote:
> Hi Md,
> I think the errors are that you forgot to initialize "m", calculated
> the mean outside the loops and forgot the final brace:
>
> m<-rep(0,44)
> for(i in 1975:2017) {
> for(j in
Dear Rui,
Thank you for your nice help.
Take care and be safe.
Md
On Tue, Aug 4, 2020 at 10:45 PM Rui Barradas wrote:
> Hello,
>
> Please keep cc-ing the list R-help is threaded and questions and answers
> might be of help to others in the future.
>
> As for the question, see if the following
On 09/08/2020 8:33 a.m., Kevin Egan wrote:
Hi Abby,
After running a few tests on my local and remote versions of R, this seems
to be the most plausible answer to the problem. I put set.seed(123)
several times within my code and produced the same results but would rather
not have to do that if po
Hi Kevin,
I think Abby has suggested something similar to what I think the problem is
related to - environment setup.
Some possible solutions:
The renv and packrat packages are a way to version your packages to help
with reproducability. Anaconda might be a solution for the R version and
package
Hi Abby,
After running a few tests on my local and remote versions of R, this seems
to be the most plausible answer to the problem. I put set.seed(123)
several times within my code and produced the same results but would rather
not have to do that if possible.
On Sat, Aug 8, 2020 at 6:05 PM Abby
I believe that's what I've been doing already with the links I've provided
below.
One of the pieces that escapes me is that there are bundled dynamic libraries
like `gfortran` that are missing from the build from source solution I'm
pursuing, however they exist in the packaged artifact availabl
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.fram
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