Comments (5)
Thank you for the report.
Windows is a bit problematic for several reasons. One reason is development/access on Windows is not available to me, at least with WIndows 11. Limitations of Rcpp and character encodings specific to Windows add more flavor.
There are no reports of problems with the CRAN builds.
According to CRAN the windows release package was still being uploaded as of yesteray, so I would suggest to ensure you used R install.packages
after the file was built/uploaded, but you report the same issue with install from github.
Another wrinkle is that rEDM on CRAN is 1.12.2, while on github, it is 1.12.2.1. There is a windows-specific change in 1.12.2.1 that is not in 1.12.2. That you get the same result with R install.packages()
(version 1.12.2 from CRAN) and devtools::install_github()
(version 1.12.2.1), and, that rEDM 1.12.2 works on R 4.1.2 but not 4.2.0 seems to suggest an issue beyond rEDM.
If you would like to continue diagnosing the issue, one idea is to use install.packages('rEDM', keep_outputs = TRUE, ...)
to see logs of the installation.
from redm.
I reproduced your results on a Windows 10 machine: rEDM 1.12.2 is fine on R 4.1.3, does not load on R 4.2.0.
Here's what I found so far. According to
CHANGES IN R 4.2.0
Windows users should consult the WINDOWS section below for some profound changes including
- Support for 32-bit builds has been dropped.
- UTF-8 locales are used where available.
While this goes unnoticed in the non-Windows universe (where UTF-8 locales and encodings are natural), Windows encodings are an issue. On top of that, Rcpp
(an awesome package) which is the R wrapper to the cppEDM
core also has to deal with the Windows peculiarities absent on other OS's. It is not clear to me where in the chain of Windows wonderland the issue arises.
I was able to get rEDM 1.12.2 to run fine on R 4.2.0 Windows 10 by resestting the locale, vis:
Sys.setlocale("LC_ALL","English_United States.1252")
Here's the full dialogue:
R version 4.2.0 (2022-04-22 ucrt) -- "Vigorous Calisthenics"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)
> sessionInfo()
R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.utf8
[2] LC_CTYPE=English_United States.utf8
[3] LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.utf8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_4.2.0
> Sys.setlocale("LC_ALL","English_United States.1252")
[1] "LC_COLLATE=English_United States.1252;LC_CTYPE=English_United States.1252;LC_MONETARY=English_United States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252"
Warning message:
In Sys.setlocale("LC_ALL", "English_United States.1252") :
using locale code page other than 65001 ("UTF-8") may cause problems
> sessionInfo()
R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
system code page: 65001
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] compiler_4.2.0
>
> library(rEDM)
>
> sessionInfo()
R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
system code page: 65001
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] rEDM_1.12.2
loaded via a namespace (and not attached):
[1] compiler_4.2.0 Rcpp_1.0.8.3
> CCM( dataFrame = Lorenz5D, E = 5, target='V5',columns='V1',libSizes=c(50,100,200,300,500,800,950), sample = 50 )
LibSize V1:V5 V5:V1
1 50 0.5824790 0.8212737
2 100 0.6477618 0.8668273
3 200 0.7131198 0.8864639
4 300 0.7451864 0.8938021
5 500 0.7762779 0.9050685
6 800 0.8043982 0.9130044
7 950 0.8135639 0.9158710
We notice the R version is R version 4.2.0 (2022-04-22 ucrt) where ucrt
refers to the MS Universal C Run Time library, which is where I think the UTF-8 encodings might be handled.
The original locale is: English_United States.utf8
, this seems to be the problem. When it is changed to English_United States.1252
, then rEDM 1.12.2 runs fine on Windows 10 R 4.2.0. So at the moment, no solution, but a workaround... Ugh.
from redm.
Thank you for your hard work and fast response; I feel bad to cause you headaches. This is the reason I am only updating R a version or two behind; yes, Linux is my way to go but this time I had no-to-little choice when I found this issue with rEDM with R4.2.0. I will give a try with your workaround as soon as I am finished with my current R-session. Than you all for this awesome rEDM package and your work. Please, by all means, keep up with this good work.
from redm.
Thank you @sebdart!
Probing this issue with the R package developers mailing list, it appears the issue is from a gcc bug. Here is the R-pkg-devel thread.
This should provide a path forward to avoid the issue by recoding cppEDM. I'll work on it.
from redm.
Please note that version 1.12.3, committed to github on 2022-6-12 appears to resolve this issue.
from redm.
Related Issues (20)
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- Significance of converegcne HOT 3
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- error in installation
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- WARNING: ComputeError(): nan predictions found error not computed. HOT 11
- CCM Parallel Processing
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- version 1.15 dealing with NaN HOT 4
- Questions about 'Nonlinearity' and the significance of ρ under the largest L. HOT 1
- block_lnlp() function not found HOT 3
- Question: which version of rEDM had the syntax ...$stats$rho$rho to extract the rho from a block_lnlp call? HOT 4
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from redm.