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| From: | Oliver Schoett <oliver DOT schoett AT capgemini DOT com> |
| Subject: | R-3.3.3-1: unable to load stats.dll |
| Date: | Tue, 28 Mar 2017 16:16:30 +0200 |
| Lines: | 77 |
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Marco Atzeri via cygwin wrote:
> Versions 3.3.3-1 of
> R
> libRmath
> libRmath-devel
>
> for cygwin are now available
When I try to use Rscript, I get the warning below. However, the file
|/usr/lib/R/library/stats/libs/stats.dll| exists and looks fine:
$ ls -la /lib/R/library/stats/libs/stats.dll
-rwxr-xr-x 1 oschoett Domain_Users 646675 Mar 9 08:13 /lib/R/library/stats/libs/stats.dll
$ file /lib/R/library/stats/libs/stats.dll
/lib/R/library/stats/libs/stats.dll: PE32+ executable (DLL) (console) x86-64, for MS Windows
How can I make R usable without this warning again?
Oliver Schoett
$ Rscript.exe library.R
Error in dyn.load(file, DLLpath = DLLpath, ...) :
unable to load shared object '/usr/lib/R/library/stats/libs/stats.dll':
No such file or directory
During startup - Warning message:
package ‘stats’ in options("defaultPackages") was not found
Packages in library ‘/usr/lib/R/site-library’:
assertthat Easy pre and post assertions.
dichromat Color Schemes for Dichromats
gtable Arrange 'Grobs' in Tables
labeling Axis Labeling
magrittr A Forward-Pipe Operator for R
RColorBrewer ColorBrewer Palettes
Packages in library ‘/usr/lib/R/library’:
base The R Base Package
boot Bootstrap Functions (Originally by Angelo Canty
for S)
class Functions for Classification
cluster "Finding Groups in Data": Cluster Analysis
Extended Rousseeuw et al.
codetools Code Analysis Tools for R
compiler The R Compiler Package
datasets The R Datasets Package
foreign Read Data Stored by Minitab, S, SAS, SPSS,
Stata, Systat, Weka, dBase, ...
graphics The R Graphics Package
grDevices The R Graphics Devices and Support for Colours
and Fonts
grid The Grid Graphics Package
KernSmooth Functions for Kernel Smoothing Supporting Wand
& Jones (1995)
lattice Trellis Graphics for R
MASS Support Functions and Datasets for Venables and
Ripley's MASS
Matrix Sparse and Dense Matrix Classes and Methods
methods Formal Methods and Classes
mgcv Mixed GAM Computation Vehicle with GCV/AIC/REML
Smoothness Estimation
nlme Linear and Nonlinear Mixed Effects Models
nnet Feed-Forward Neural Networks and Multinomial
Log-Linear Models
parallel Support for Parallel computation in R
rpart Recursive Partitioning and Regression Trees
spatial Functions for Kriging and Point Pattern
Analysis
splines Regression Spline Functions and Classes
stats The R Stats Package
stats4 Statistical Functions using S4 Classes
survival Survival Analysis
tcltk Tcl/Tk Interface
tools Tools for Package Development
utils The R Utils Package
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