Answer:
To run R scripts using Rscript and loading necessary packages, you need to ensure that the package paths are correctly set up. The following steps could help resolve the issue:
Check if the package is installed using .libPaths() and installed.packages() commands in R, and ensure the package is available.
Run Sys.getenv('R_LIBS_USER') in R console to get the user library directory for the R environment in use.
Run Rscript.exe -e "Sys.getenv('R_LIBS_USER')" on the command line to get the user library directory for the Rscript environment.
Ensure you set the same R_LIBS_USER environment variable in R and Rscript using Sys.setenv("R_LIBS_USER"="path/to/user/library") in R.
Run Rscript.exe -e ".libPaths()" on the command line, and ensure the value returned is the same as the R_LIBS_USER path set in step 4.
Note: Remember that paths to libraries contain either backslashes () or forward slashes (/), depending on the operating system being used.
Example code:
library(timeSeries) #This is the package that failed to load
To fix the issue:
# From the R console
.libPaths() # Get the user library path
# From the command line
Rscript.exe -e "Sys.getenv('R_LIBS_USER')" # Get the user library path for Rscript
# Set R_LIBS_USER environment variable in R
Sys.setenv("R_LIBS_USER"="path/to/user/library") # Replace path/to/user/library with the actual directory to user/library
# Set R_LIBS_USER environment variable in Rscript
setenv R_LIBS_USER=path/to/user/library # Replace path/to/user/library with the actual directory to user/library
# Compare paths from R and Rscript
Rscript.exe -e ".libPaths()" # Compare with R_LIBS_USER path
library(timeSeries) # Should work now!
Regarding the installation issue of packages, it may be a permission issue and running the R session as administrator may help. Additionally, make sure that the directory where packages are installed has write permissions for the current user.
Example code:
install.packages("ggplot2") # Ensure double quotes are used with package name
To fix the issue:
Try running R or RStudio as administrator.
Check the
Step-by-step explanation: