无法安装R包：非零退出状态（仅sudo运行R时可安装）

Hey there, let's break down why you're hitting permission errors when installing R packages like mlbench without using sudo to run R. This is a super common snag, and we've got a few straightforward solutions to get you back on track.

Why This Happens #

The root issue is that your regular user account doesn't have write access to R's default system-wide library directory. When you run R with sudo, you're using administrator privileges that let you modify that system directory—but this isn't ideal long-term, since it can lead to permission conflicts later on.

Solution 1: Install Packages to a User-Specific Library (RECOMMENDED) #

This is the safest and most maintainable approach, as it keeps your packages isolated to your user account.

• First, check your current library paths in R by running:

  .libPaths()
  

  You'll see two types of paths: a system-wide one (you can't write to this without sudo) and possibly a user-specific one (if it exists).

• If you don't have a user library, create one in your home directory via terminal:

  mkdir -p ~/R/library
  

• Tell R to prioritize this user library:

  • Temporary fix (for the current R session only):

    .libPaths(c("~/R/library", .libPaths()))
    

  • Permanent fix (applies to every R session):
    Edit your R profile file (~/.Rprofile) and add the line above. If the file doesn't exist, create it with touch ~/.Rprofile in terminal first.

• Now try installing mlbench again:

  install.packages("mlbench")
  

  The package will install to your user library, no sudo required.

Solution 2: Modify System Library Permissions (NOT RECOMMENDED) #

If you really need to install packages to the system library, you can adjust the directory permissions—but be warned, this affects all users on the system and could cause unexpected issues.

• First, find your system library path using .libPaths() in R (it's usually the first entry, like /usr/lib/R/library).

• Change ownership of the directory to your user account via terminal:

  sudo chown -R $USER:$USER /usr/lib/R/library
  

  Replace the path with your actual system library path if it's different.

Solution 3: Use Conda to Manage R Environments #

If you work with multiple R versions or package sets, using Conda to create isolated environments is a great option.

• Create a new Conda environment with R:

  conda create -n my_r_env r-base
  

• Activate the environment:

  conda activate my_r_env
  

• Now run R within this environment—you can install packages freely without sudo, since everything is contained in your user's Conda directory.

Quick Note #

Avoid using sudo to run R and install packages whenever possible. It can lead to permission errors when running scripts later (since your regular user might not have access to the sudo-installed packages) and messes with system-wide R configurations.

内容的提问来源于stack exchange，提问作者bearoplane