After going to this website, click on MacOS X and then click on R-2.13.1.pkg to download R. After installing R, try running RStudio again and it should be working. After installing R, try running RStudio again and it should be working.
- R Studio For Mac Os Unable To Locate Binary After Install Kodi
- R Studio For Mac Os Unable To Locate Binary After Install Itunes
- R Studio For Mac Os Unable To Locate Binary After Install Chrome
I'm trying to load the RSiena package into R, but keep getting this error message:
I tried installing three ways: install.packages('RSiena') , install.packages('RSiena', repos='http://R-Forge.R-project.org') , and installing straight from tgz file (from https://cran.r-project.org/web/packages/RSiena/index.html).
The first two installation methods do not give any error and say The downloaded binary packages are in /var/folders/mk/__r_sbzn5mx88x04mrlycsg00000gq/T//RtmpbxlMY8/downloaded_packages.The third option gives this message Error in install.packages : type 'both' cannot be used with 'repos = NULL'
None allow me to load the package. I'm working with R version 3.4.3 (2017-11-30) in RStudio Version 1.1.423 on Mac OS X El Capitan (version 10.11.6).
I've tried uninstalling and reinstalling. I'm not sure how else to troubleshoot this issue.
R Studio For Mac Os Unable To Locate Binary After Install Kodi
1 Answer
SOLUTION. I installed XQuartz from xquartz.macosforge.org and now the package loads successfully.
Not the answer you're looking for? Browse other questions tagged rmacos or ask your own question.
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| #' Install TensorFlow and its dependencies |
| #' |
| #' @inheritParams reticulate::conda_list |
| #' |
| #' @param method Installation method. By default, 'auto' automatically finds a |
| #' method that will work in the local environment. Change the default to force |
| #' a specific installation method. Note that the 'virtualenv' method is not |
| #' available on Windows (as this isn't supported by TensorFlow). Note also |
| #' that since this command runs without privilege the 'system' method is |
| #' available only on Windows. |
| #' |
| #' @param version TensorFlow version to install. Specify 'default' to install |
| #' the CPU version of the latest release. Specify 'gpu' to install the GPU |
| #' version of the latest release. |
| #' |
| #' You can also provide a full major.minor.patch specification (e.g. '1.1.0'), |
| #' appending '-gpu' if you want the GPU version (e.g. '1.1.0-gpu'). |
| #' |
| #' Alternatively, you can provide the full URL to an installer binary (e.g. |
| #' for a nightly binary). |
| #' |
| #' @param envname Name of Python environment to install within |
| #' |
| #' @param extra_packages Additional Python packages to install along with |
| #' TensorFlow. |
| #' |
| #' @param restart_session Restart R session after installing (note this will |
| #' only occur within RStudio). |
| #' |
| #' @param conda_python_version the python version installed in the created conda |
| #' environment. Python 3.6 is installed by default. |
| #' |
| #' @param ... other arguments passed to [reticulate::conda_install()] or |
| #' [reticulate::virtualenv_install()]. |
| #' |
| #' @importFrom jsonlite fromJSON |
| #' |
| #' @export |
| install_tensorflow<-function(method= c('auto', 'virtualenv', 'conda'), |
| conda='auto', |
| version='default', |
| envname=NULL, |
| extra_packages=NULL, |
| restart_session=TRUE, |
| conda_python_version='3.6', |
| ...) { |
| # verify 64-bit |
| if (.Machine$sizeof.pointer!=8) { |
| stop('Unable to install TensorFlow on this platform.', |
| 'Binary installation is only available for 64-bit platforms.') |
| } |
| method<- match.arg(method) |
| # unroll version |
| ver<- parse_tensorflow_version(version) |
| version<-ver$version |
| gpu<-ver$gpu |
| package<-ver$package |
| # Packages in this list should always be installed. |
| default_packages<- c('tensorflow-hub') |
| # Resolve TF probability version. |
| if (!is.na(version) && substr(version, 1, 4) %in% c('1.12', '1.13', '1.14')) { |
| default_packages<- c(default_packages, 'tensorflow-probability') |
| # install tfp-nightly |
| } elseif (is.na(version) ||(substr(version, 1, 4) %in% c('2.0.') ||version'nightly')) { |
| default_packages<- c(default_packages, 'tfp-nightly') |
| } |
| extra_packages<- unique(c(default_packages, extra_packages)) |
| reticulate::py_install( |
| packages= c(package, extra_packages), |
| envname=envname, |
| method=method, |
| conda=conda, |
| python_version=conda_python_version, |
| pip=TRUE, |
| ... |
| ) |
| cat('nInstallation complete.nn') |
| if (restart_session&&rstudioapi::hasFun('restartSession')) |
| rstudioapi::restartSession() |
| invisible(NULL) |
| } |
| parse_tensorflow_version<-function(version) { |
| default_version<-'1.14.0' |
| ver<-list( |
| version=default_version, |
| gpu=FALSE, |
| package=NULL |
| ) |
| if (version'default') { |
| ver$package<- paste0('tensorflow', ver$version) |
| # default gpu version |
| } elseif (version'gpu') { |
| ver$gpu<-TRUE |
| ver$package<- paste0('tensorflow-gpu', ver$version) |
| # gpu qualifier provided |
| } elseif (grepl('-gpu$', version)) { |
| split<- strsplit(version, '-')[[1]] |
| ver$version<-split[[1]] |
| ver$gpu<-TRUE |
| # full path to whl. |
| } elseif (grepl('^.*.whl$', version)) { |
| ver$gpu<-NA |
| ver$version<-NA |
| if (grepl('^http', version)) |
| ver$package<-version |
| else |
| ver$package<- normalizePath(version) |
| # another version |
| } else { |
| ver$version<-version |
| } |
| # find the right package for nightly and other versions |
| if (is.null(ver$package)) { |
| if (ver$version'nightly') { |
| if (ver$gpu) { |
| ver$package<-'tf-nightly-gpu' |
| } else { |
| ver$package<-'tf-nightly' |
| } |
| } else { |
| if (ver$gpu) { |
| ver$package<- paste0('tensorflow-gpu', ver$version) |
| } else { |
| ver$package<- paste0('tensorflow', ver$version) |
| } |
| } |
| } |
| ver |
| } |
| #' Install additional Python packages alongside TensorFlow |
| #' |
| #' This function is deprecated. Use the `extra_packages` argument to |
| #' `install_tensorflow()` to install additional packages. |
| #' |
| #' @param packages Python packages to install |
| #' @param conda Path to conda executable (or 'auto' to find conda using the PATH |
| #' and other conventional install locations). Only used when TensorFlow is |
| #' installed within a conda environment. |
| #' |
| #' @export |
| install_tensorflow_extras<-function(packages, conda='auto') { |
| message('Extra packages not installed (this function is deprecated). n', |
| 'Use the extra_packages argument to install_tensorflow() to ', |
| 'install additional packages.') |
| } |
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