I am trying to work with an R package that includes Rcpp + OpenMP in a conda environment in macOS. I read the conda environment documentation; however, I could not fix the problem I have in the following reproducible example. Most of the documentation is based on addressing OpenMP issues (clang+llvm) on macOS. I was wondering if there are any resources or documentation for the conda environment. These steps work on a Linux system (with conda) and macOS (without conda) without any problem.
Here is the reproducible example:
In a macOS:
Step 1: Create a conda environment and install R:
conda create -n env r-essentials r-base
Step 2: activate the environment
conda activate env
Step 3: install rstudio
conda install -c r rstudio
Step 4: install some required packages
conda install -c r r-devtools
conda install -c r r-wcorr
conda install -c r r-ranger
conda install -c conda-forge r-rcpparmadillo
conda install -c r r-testthat
conda install -c conda-forge r-superlearner
conda install -c conda-forge r-polycore
conda install -c conda forge r-logger
conda install -c anaconda llvm
conda install -c conda-forge openmp
Step 5: Run rstudio
Step 6: Inside rstudio
library('devtools')
install_github('fasrc/CausalGPS')
I get the following error:
In file included from ColorSpace.cpp:1:
In file included from ./ColorSpace.h:4:
In file included from env/bin/../include/c++/v1/typeinfo:60:
In file included from env/bin/../include/c++/v1/exception:81:
In file included from env/bin/../include/c++/v1/cstdlib:85:
In file included from env/bin/../include/c++/v1/stdlib.h:100:
env/bin/../include/c++/v1/math.h:773:12: error: no member named 'labs' in the global namespace; did you mean 'abs'?
return ::labs(__x);
~~^
~/env/bin/../include/c++/v1/math.h:772:39: note: 'abs' declared here
inline _LIBCPP_INLINE_VISIBILITY long abs(long __x) _NOEXCEPT {
^
~/env/bin/../include/c++/v1/math.h:777:12: error: no member named 'llabs' in the global namespace
return ::llabs(__x);
~~^
~/env/bin/../include/c++/v1/math.h:785:12: error: no member named 'fabsf' in the global namespace
return ::fabsf(__lcpp_x);
~~^
~/env/bin/../include/c++/v1/math.h:789:12: error: no member named 'fabs' in the global namespace; did you mean 'abs'?
return ::fabs(__lcpp_x);
~~^
~/env/bin/../include/c++/v1/math.h:772:39: note: 'abs' declared here
inline _LIBCPP_INLINE_VISIBILITY long abs(long __x) _NOEXCEPT {
^
~/env/bin/../include/c++/v1/math.h:794:12: error: no member named 'fabsl' in the global namespace
return ::fabsl(__lcpp_x);
~~^
I think I need to set some environmental variables; however, I could not find out which variables I should export. Do you have any idea?
Works for me, with some adjustments that I regard as better practice:
don't use RStudio from Conda - it is an abandoned project; see alternatives
only use conda-forge channel - mixing channels can have dynamic library issues
use a YAML for more reliable specification of requirements
explicitly declare R version (r-base)
include everything in the declared Imports (except what is included as dependencies of other packages)
conda-forge::r-cli>=3 builds are broken, so I pin that to newest working version
use mamba because conda is slow
Here is a YAML for creating the environment:
causalgps-env.yaml
name: causalgps
channels:
- conda-forge
dependencies:
- r-base=4.1
- r-tidyverse
- r-devtools
- r-xgboost
- r-superlearner
- r-earth
- r-ranger
- r-gam
- r-kernsmooth
- r-gnm
- r-polycor
- r-wcorr
- r-rlang
- r-glue
- r-logger
- r-cli>=2,<3
And the steps are:
Create env.
## install Mamba if you don't have it
## conda install -n base conda-forge::mamba
mamba env create -n causalgps -f causalgps-env.yaml
Run R session in env.
conda activate causalgps
R
Install package.
library(devtools)
install_github('fasrc/CausalGPS')
Test loading.
library(CausalGPS) ## works
I am unable to install the r-base and r-essentials packages into my conda environment. Whenever I run
conda install -c r r-base r-essentials
I just get the Solving environment message for a good hour or more before I just exit out altogether. This even occurs when I create a brand new environment without any other packages before attempting to install r-base and r-essentials.
What is going on here and is there any way to fix this?
Try that. conda install -c conda-forge r r-essentials.
For some reason there is a conflict when r-essentials and pip are in the same conda environment. You can solve it by creating a new environment that has the package directly:
conda create -n r_env -c r r-essentials
I'm trying to use conda and Jupypter to write some R code. I found a useful package called 'treatSens' and tried to install via conda following the instructions here.
conda install conda-build
conda skeleton cran treatSens
conda build r-treatsens
conda install -c local r-treatsens
Then I got this error conda_build.exceptions.DependencyNeedsBuildingError: Unsatisfiable dependencies for platform osx-64: {"r-dbarts[version='>=0.9_1']"}. How do I satisfy this dependency? Any suggestion is appreciated.
===UPDATE====
Added --recursive then I got a new error, posted a new question
here.
Try the following:
conda install conda-build
conda skeleton cran --recursive treatSens
conda build r-treatsens
conda install -c local r-treatsens
The recursive option should account for the dependencies you need.
I am trying to build a R conda package that doesn't exist on conda-forge from a CRAN package using the appraoch shown here: https://www.anaconda.com/blog/developer-blog/conda-data-science/
I used the R package rann as an example - this package already exists as r-rann on conda-forge, but I used it to test if the build process works in general.
During the build process the script "conda_build.sh" is executed that contains the line $R CMD INSTALL --build .. My problem is that the build process fails with error Fatal error: cannot open file 'CMD': No such file or directory independently of which package I try to build. I have no idea where the environment variable(?) "CMD" should come from.
I took the following steps:
conda skeleton cran rann
conda build r-rann
I also tested to build Python packages from pip and these work without any problem, so it doesn't appear that this is a general problem with my Miniconda installation.
My system:
Ubuntu 17.10
Miniconda 3, version 4.4.10
Here is the full log of the build process:
eega#eega-nb:~/workspace$ conda build r-rann/
Adding in variants from internal_defaults
INFO:conda_build.variants:Adding in variants from internal_defaults
Attempting to finalize metadata for r-rann
INFO:conda_build.metadata:Attempting to finalize metadata for r-rann
Solving environment: ...working... done
==> WARNING: A newer version of conda exists. <==
current version: 4.4.10
latest version: 4.5.0
Please update conda by running
$ conda update -n base conda
Solving environment: ...working... done
==> WARNING: A newer version of conda exists. <==
current version: 4.4.10
latest version: 4.5.0
Please update conda by running
$ conda update -n base conda
Solving environment: ...working... done
==> WARNING: A newer version of conda exists. <==
current version: 4.4.10
latest version: 4.5.0
Please update conda by running
$ conda update -n base conda
BUILD START: ['r-rann-2.5.1-r341h599a50d_0.tar.bz2']
Solving environment: ...working... done
==> WARNING: A newer version of conda exists. <==
current version: 4.4.10
latest version: 4.5.0
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /tmp/conda-builds/r-rann_1522400915206/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold
The following NEW packages will be INSTALLED:
bzip2: 1.0.6-1 conda-forge
ca-certificates: 2018.1.18-0 conda-forge
cairo: 1.14.10-0 conda-forge
curl: 7.59.0-0 conda-forge
fontconfig: 2.12.6-0 conda-forge
freetype: 2.8.1-0 conda-forge
gettext: 0.19.8.1-0 conda-forge
glib: 2.55.0-0 conda-forge
graphite2: 1.3.11-0 conda-forge
gsl: 2.1-2 conda-forge
harfbuzz: 1.7.6-0 conda-forge
icu: 58.2-0 conda-forge
jpeg: 9b-2 conda-forge
krb5: 1.14.2-0 conda-forge
libffi: 3.2.1-3 conda-forge
libgcc: 7.2.0-h69d50b8_2
libgcc-ng: 7.2.0-hdf63c60_3
libiconv: 1.15-0 conda-forge
libpng: 1.6.34-0 conda-forge
libssh2: 1.8.0-2 conda-forge
libstdcxx-ng: 7.2.0-hdf63c60_3
libtiff: 4.0.9-0 conda-forge
libxml2: 2.9.8-0 conda-forge
ncurses: 5.9-10 conda-forge
openssl: 1.0.2n-0 conda-forge
pango: 1.40.14-0 conda-forge
pcre: 8.39-0 conda-forge
pixman: 0.34.0-1 conda-forge
r-base: 3.4.1-3 conda-forge
readline: 7.0-0 conda-forge
tk: 8.6.7-0 conda-forge
xz: 5.2.3-0 conda-forge
zlib: 1.2.11-0 conda-forge
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
Solving environment: ...working... done
==> WARNING: A newer version of conda exists. <==
current version: 4.4.10
latest version: 4.5.0
Please update conda by running
$ conda update -n base conda
Solving environment: ...working... done
==> WARNING: A newer version of conda exists. <==
current version: 4.4.10
latest version: 4.5.0
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /tmp/conda-builds/r-rann_1522400915206/_build_env
The following NEW packages will be INSTALLED:
binutils_impl_linux-64: 2.28.1-had2808c_3
binutils_linux-64: 7.2.0-26
gcc_impl_linux-64: 7.2.0-habb00fd_3
gcc_linux-64: 7.2.0-26
gxx_impl_linux-64: 7.2.0-hdf63c60_3
gxx_linux-64: 7.2.0-26
libstdcxx-ng: 7.2.0-hdf63c60_3
make: 4.2.1-0 conda-forge
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
Source cache directory is: /tmp/conda-builds/src_cache
Found source in cache: RANN_2.5.1_75277e5d8a.tar.gz
Extracting download
source tree in: /tmp/conda-builds/r-rann_1522400915206/work
INFO: activate-binutils_linux-64.sh made the following environmental changes:
+ADDR2LINE=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-addr2line
+AR=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-ar
+AS=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-as
+CXXFILT=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-c++filt
+ELFEDIT=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-elfedit
+GPROF=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-gprof
+HOST=x86_64-conda_cos6-linux-gnu
+LD_GOLD=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-ld.gold
+LD=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-ld
+NM=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-nm
+OBJCOPY=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-objcopy
+OBJDUMP=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-objdump
+RANLIB=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-ranlib
+READELF=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-readelf
+SIZE=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-size
+STRINGS=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-strings
+STRIP=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-strip
INFO: activate-gcc_linux-64.sh made the following environmental changes:
+CC=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-cc
+CFLAGS=-march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -pipe -I/tmp/conda-builds/r-rann_1522400915206/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold/include -fdebug-prefix-map=${SRC_DIR}=/usr/local/src/conda/${PKG_NAME}-${PKG_VERSION} -fdebug-prefix-map=${PREFIX}=/usr/local/src/conda-prefix
+_CONDA_PYTHON_SYSCONFIGDATA_NAME=_sysconfigdata_x86_64_conda_cos6_linux_gnu
+CPPFLAGS=-DNDEBUG -D_FORTIFY_SOURCE=2 -O2
+CPP=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-cpp
+DEBUG_CFLAGS=-march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-all -fno-plt -Og -g -Wall -Wextra -fvar-tracking-assignments -pipe -I/tmp/conda-builds/r-rann_1522400915206/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold/include -fdebug-prefix-map=${SRC_DIR}=/usr/local/src/conda/${PKG_NAME}-${PKG_VERSION} -fdebug-prefix-map=${PREFIX}=/usr/local/src/conda-prefix
+DEBUG_CPPFLAGS=-D_DEBUG -D_FORTIFY_SOURCE=2 -Og
+GCC_AR=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-gcc-ar
+GCC_NM=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-gcc-nm
+GCC_RANLIB=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-gcc-ranlib
+GCC=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-gcc
+LDFLAGS=-Wl,-O2 -Wl,--sort-common -Wl,--as-needed -Wl,-z,relro -Wl,-z,now -Wl,-rpath,/tmp/conda-builds/r-rann_1522400915206/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold/lib -L/tmp/conda-builds/r-rann_1522400915206/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold/lib
INFO: activate-gxx_linux-64.sh made the following environmental changes:
+CXXFLAGS=-fvisibility-inlines-hidden -std=c++17 -fmessage-length=0 -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -fno-plt -O2 -pipe -I/tmp/conda-builds/r-rann_1522400915206/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold/include -fdebug-prefix-map=${SRC_DIR}=/usr/local/src/conda/${PKG_NAME}-${PKG_VERSION} -fdebug-prefix-map=${PREFIX}=/usr/local/src/conda-prefix
+CXX=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-c++
+DEBUG_CXXFLAGS=-fvisibility-inlines-hidden -std=c++17 -fmessage-length=0 -march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-all -fno-plt -Og -g -Wall -Wextra -fvar-tracking-assignments -pipe -I/tmp/conda-builds/r-rann_1522400915206/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold/include -fdebug-prefix-map=${SRC_DIR}=/usr/local/src/conda/${PKG_NAME}-${PKG_VERSION} -fdebug-prefix-map=${PREFIX}=/usr/local/src/conda-prefix
+GXX=/tmp/conda-builds/r-rann_1522400915206/_build_env/bin/x86_64-conda_cos6-linux-gnu-g++
Fatal error: cannot open file 'CMD': No such file or directory
Traceback (most recent call last):
File "/home/eega/miniconda3/bin/conda-build", line 6, in <module>
sys.exit(conda_build.cli.main_build.main())
File "/home/eega/miniconda3/lib/python3.6/site-packages/conda_build/cli/main_build.py", line 420, in main
execute(sys.argv[1:])
File "/home/eega/miniconda3/lib/python3.6/site-packages/conda_build/cli/main_build.py", line 411, in execute
verify=args.verify)
File "/home/eega/miniconda3/lib/python3.6/site-packages/conda_build/api.py", line 199, in build
notest=notest, need_source_download=need_source_download, variants=variants)
File "/home/eega/miniconda3/lib/python3.6/site-packages/conda_build/build.py", line 2097, in build_tree
notest=notest,
File "/home/eega/miniconda3/lib/python3.6/site-packages/conda_build/build.py", line 1370, in build
utils.check_call_env(cmd, env=env, cwd=src_dir, stats=build_stats)
File "/home/eega/miniconda3/lib/python3.6/site-packages/conda_build/utils.py", line 301, in check_call_env
return _func_defaulting_env_to_os_environ('call', *popenargs, **kwargs)
File "/home/eega/miniconda3/lib/python3.6/site-packages/conda_build/utils.py", line 280, in _func_defaulting_env_to_os_environ
raise subprocess.CalledProcessError(proc.returncode, _args)
subprocess.CalledProcessError: Command '['/bin/bash', '-e', '/tmp/conda-builds/r-rann_1522400915206/work/conda_build.sh']' returned non-zero exit status 2.
The content of the build.sh conda created:
#!/bin/bash
if [[ $target_platform =~ linux.* ]] || [[ $target_platform == win-32 ]] || [[ $target_platform == win-64 ]] || [[ $target_platform == osx-64 ]]; then
export DISABLE_AUTOBREW=1
mv DESCRIPTION DESCRIPTION.old
grep -v '^Priority: ' DESCRIPTION.old > DESCRIPTION
$R CMD INSTALL --build .
else
mkdir -p $PREFIX/lib/R/library/RANN
mv * $PREFIX/lib/R/library/RANN
fi
The content of the meta.yaml conda created:
{% set version = '2.5.1' %}
{% set posix = 'm2-' if win else '' %}
{% set native = 'm2w64-' if win else '' %}
package:
name: r-rann
version: {{ version|replace("-", "_") }}
source:
fn: RANN_2.5.1.tar.gz
url:
- {{ cran_mirror }}/src/contrib/RANN_2.5.1.tar.gz
- {{ cran_mirror }}/src/contrib/Archive/RANN/RANN_2.5.1.tar.gz
sha256: 75277e5d8a13ca01ff387f99d403268a8077862d4e95b076b74fb1b5538a8546
build:
merge_build_host: True # [win]
# If this is a new build for the same version, increment the build number.
number: 0
# This is required to make R link correctly on Linux.
rpaths:
- lib/R/lib/
- lib/
# Suggests: testthat
requirements:
build:
- {{ compiler('c') }} # [not win]
- {{ compiler('cxx') }} # [not win]
- {{native}}toolchain # [win]
- {{posix}}filesystem # [win]
- {{posix}}make
host:
- r-base
run:
- r-base
- {{native}}gcc-libs # [win]
test:
commands:
# You can put additional test commands to be run here.
- $R -e "library('RANN')" # [not win]
- "\"%R%\" -e \"library('RANN')\"" # [win]
# You can also put a file called run_test.py, run_test.sh, or run_test.bat
# in the recipe that will be run at test time.
# requires:
# Put any additional test requirements here.
about:
home: https://github.com/jefferis/RANN
license: GPL (>= 3)
summary: Finds the k nearest neighbours for every point in a given dataset in O(N log N) time
using Arya and Mount's ANN library (v1.1.3). There is support for approximate as
well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The
distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1'
for the same functionality using the L1 (Manhattan, taxicab) metric.
license_family: GPL3
# The original CRAN metadata for this package was:
# Package: RANN
# Title: Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
# Author: Sunil Arya and David Mount (for ANN), Samuel E. Kemp, Gregory Jefferis
# Maintainer: Gregory Jefferis <jefferis#gmail.com>
# Copyright: ANN library is copyright University of Maryland and Sunil Arya and David Mount. See file COPYRIGHT for details.
# Description: Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric.
# URL: https://github.com/jefferis/RANN
# BugReports: https://github.com/jefferis/RANN/issues
# Encoding: UTF-8
# License: GPL (>= 3)
# Suggests: testthat
# Version: 2.5.1
# RoxygenNote: 6.0.1
# NeedsCompilation: yes
# Packaged: 2017-05-19 13:52:30 UTC; jefferis
# Repository: CRAN
# Date/Publication: 2017-05-21 07:56:50 UTC
# See
# http://docs.continuum.io/conda/build.html for
# more information about meta.yaml
Any help would be appreciated!
"CMD" is an R command-line instruction. During the conda-build you download the source code for RANN, then build a package from it using R in a temp environment, then install it (temporarily) to check it works.
That line is just telling R to build the package rann. When you're developing an R package you use R CMD build <my_package> or R CMD INSTALL --build <my_package> to make an installable archive of that package.
It looks like your conda-build can't find an R to build the package, although that is typically done in a temporary environment that is set up while running conda-build; and the build process will almost certainly install r-base so there's no real reason for it not to find R.
I've ran the code under windows-subsystem for linux (effectively Ubuntu 16.04) with conda-build 3.7.2 and conda 4.3.34, and with R v3.4.1 (with verbose output)
conda skeleton cran rann
conda build r-rann --R=3.4.1 --debug
It tries to run Rscript CMD INSTALL --build on my system, rather than R CMD build. The former isn't how packages are typically built under R, and it was at this step that the "Cannot find file CMD" error was thrown, so I had a look into it in a bit more detail.
First, I compared the meta.yaml with that on conda-forge. libgcc was absent from the run-requirements and r-base was absent from the build-requirements in the yaml set up by conda skeleton - I added these and rebuilt (though I doubt these cause the problem). This didn't fix anything, the "Could not find CMD" error still threw.
I checked the changelog at conda-build. Rscript is used to run tests rather than R from version 3.7.2 onwards. I reverted to conda-build=3.7.1:
conda install conda-build=3.7.1 -vv
conda build r-rann --R=3.4.1 --debug
Now, I get past the ccall to R CMD INSTALL --build ..., but an error still occurs during compilation; so I haven't solved the problem yet.
Nonetheless, it looks like the error you originally posted about has resulted from a change to conda-build (to use Rscript rather than
R when testing packages) that has led to problems in building R packages. Could you post an issue cross-referencing this question to the conda-build github, please.
<-- EDIT -->
After some searching, I got this to work by a) installing gfortran and b) using conda-build 3.6.0 to both create the skeleton and build the package. 3.7.0/1 of conda-build threw a bug related to version numbers (without the --version XXX argument, conda-skeleton threw an error re Namespace not having a version; with the --version XXX argument, conda-skeleton threw an error re version numbers not being implemented for R packages).
The above errors have been fixed in conda-build 3.8.0, but I haven't used that yet
Hi I tried to install R for my Jupyter notebook (Anaconda) and used the below command in my Anaconda prompt "conda install -c r r-essentials". But there is an error like below: any suggestions (especially missing package).
(C:\Anaconda3) C:\windows\system32>conda install -c r r-essentials
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata ...Could not connect to
https://repo.continuum.io/pkgs
/pro/noarch/
Could not connect to https://repo.continuum.io/pkgs/free/win-64/
Could not connect to https://repo.continuum.io/pkgs/pro/win-64/
...Could not connect to https://conda.anaconda.org/r/win-64/
.Could not connect to https://conda.anaconda.org/r/noarch/
.Could not connect to https://repo.continuum.io/pkgs/free/noarch/
.
Solving package specifications: .
Error: Package missing in current win-64 channels:
- r-essentials
You can search for packages on anaconda.org with
anaconda search -t conda r-essentials
(C:\Anaconda3) C:\windows\system32>
Thanks
Try this alternative. It worked on my colleague's machine:
conda create -n my-r-env -c r r-essentials
Another approach would be to reinstall Anaconda and execute
conda install -c r r-essentials
Let us know if it worked.