What are R packages?
Packages in R Programming language are a set of R functions, compiled code, and sample data. These are stored under a directory called “library” within the R environment. By default, R installs a group of packages during installation.
Can I change the location where R packages are stored?
You can change the location where R packages are stored or loaded if necessary. Where R packages are installed? To detect where R stores packages after installing them by the function install.packages or from where they are loaded, you can use the libPaths function.
What is the RStudio Package Manager Data directory?
The RStudio Package Manager data directory also contains information used by the server to manage repositories including the RStudio Package Manager SQLite databases and encryption key if SQLite is used. The default location for the RStudio Package Manager data directory is /var/lib/rstudio-pm.
How does R find the distribution library path?
When the user requests a package to be loaded (via require or via library ), R searches for the package in each path of the list, starting with the first. If the package is found, it is loaded and the search finishes. Thus, it is important to understand how the vector of paths is build. The last element of the path is R’s distribution library path.
About Data Cornering
This is my journey in work with data. I believe that every tool has some beauty, advantages, and disadvantages. And with that being said – I totally love Excel, but when it lacks resources, I switch to a better approach without bitching about it. There are moments when it is better to use Excel, Power BI, R, etc.
Where R packages are installed?
To detect where R stores packages after installing them by the function install.packages or from where they are loaded, you can use the libPaths function.
I hope this post is helpful in your situation. If you are modifying your Rprofile, consider adding some libraries or other functionality that you want to load together with R. My first picks would be clipr package that is lightweight and help you copy data from Excel to R and vice versa.
What are Repositories?
A repository is a place where packages are located and stored so you can install packages from it. Organizations and Developers have a local repository, typically they are online and accessible to everyone. Some of the most popular repositories for R packages are:
How to find packages in R?
The traditional way of discovering packages is just by learning R, in many tutorials and courses the most popular packages are usually mentioned and used. The first alternative can be to browse categories of CRAN packages. CRAN is the official repository, also gives us the option to browse through packages.
How to install packages in R Studio?
In R Studio goto Tools -> Install Package, and there we will get a pop-up window to type the package you want to install:
What is package in R?
Packages in R language are a set of R functions, compiled code, and sample data. These are stored under a directory called “library” within the R environment.
What is the most popular open source repository?
Github: Github is the most popular repository for open source projects. It’s popular as it comes from the unlimited space for open source, the integration with git, a version control software, and its ease to share and collaborate with others.
What is a bioconductor?
Bioconductor: Bioconductor is a topic-specific repository, intended for open source software for bioinformatics. Similar to CRAN, it has its own submission and review processes, and its community is very active having several conferences and meetings per year in order to maintain quality.
Can you load a set of packages in R?
We can just input a vector of names to the install.packages () function to install a package, in the case of the library () function, this is not possible. We can load a set of packages one at a time, or if you prefer, use one of the many work arounds developed by R users.
What order are environment variables added to the package search path?
The content of these environment variables is added to the package search path in the order listed. First R_LIBS, then R_LIBS_USER and finally R_LIBS_SITE.
How to find package path in R?
R’s package search path is reported by the . libPaths () function (invoked without arguments). The result is a vector of strings, each representing a path containing packages. When the user requests a package to be loaded (via require or via library ), R searches for the package in each path of the list, starting with the first. If the package is found, it is loaded and the search finishes. Thus, it is important to understand how the vector of paths is build.
What is the last element of the path in R?
The last element of the path is R’s distribution library path. On Windows this could be:
Where is the R package folder?
An R package is a folder somewhere in the file system . Above quantmod, TTR, xts and zoo are all folders each containing the corresponding package. For these packages to be found by R, the rsite folder (its absolute path, for instance c:/users/ivannp/rsite) needs to be added to R’s search path.
Does libpath end with slash?
To avoid depending on this behavior, I typically have R_LIBS_USER set. On Windows, make sure that the path doesn’t end with slash (‘/’ or ‘’). According to .libPaths () documentation, paths ending on a slash are invalid, and R silently ignores them.
Can you add videos to your watch history?
Videos you watch may be added to the TV’s watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.
What is RStudio package manager?
The RStudio Package Manager data directory also contains information used by the server to manage repositories including the RStudio Package Manager SQLite databases and encryption key if SQLite is used.
What is logrotate configuration?
If logrotate is available when RStudio Package Manager is installed, a logrotate configuration will be installed. The default configuration is to rotate the logfile daily. The old log file will be stored alongside the original with a numeric extension, .1, .2, etc. The rotated log files are compressed after one day. The .1 log file is retained uncompressed, but older logs are compressed. Most systems use gzip for compression, giving log files with extensions like .2.gz, .3.gz. Logs will be maintained for 30 days.
Where are rstudio-pm logs located?
The RStudio Package Manager HTTP access logs are located at /var/log/rstudio-pm.access.log. This file is owned by rstudio-pm with permissions 0600. Log files are stored in Apache Combined Log Format. See http://httpd.apache.org/docs/2.2/logs.html#combined for a description of this format.
Where are R packages stored?
RStudio Package Manager manages R packages and repositories. All package source bundles are stored in the server’s data directory. The RStudio Package Manager handles incoming requests for packages across repositories. Only a single copy of each package source is stored, even if the package is referenced in multiple repositories.
Does RStudio overwrite gcfg?
RStudio Package Manager upgrades will not overwrite customizations to the rstudio-pm.gcfg file.
Does RStudio have permission to write?
If you customize the R Studio Package Manager data directory, make sure that the rstudio-pm user has permission to read, write, and create directories in the data directory.
Do you need to change rstudio?
You should not need to change any files in the /opt/rstudio-pm hierarchy. Any alterations will be overwritten by subsequent re-installs or upgrades of RStudio Package Manager.
Example 1: Getting Path of Directory where R Packages are Stored
In this example, I’ll explain how to identify the directory path where your R packages are installed.
Example 2: Setting Path of Directory where R Packages are Stored
Example 2 explains how to change the directory where R add-on packages are saved.
Example 3: Installing Packages to New Directory
Let’s test if the switch of our library directory worked. For instance, we could install the dplyr package to check whether it is stored in our previously specified directory (see Example 2):
Video & Further Resources
Would you like to learn more about packages in R? Then you may watch the following video of my YouTube channel. I’m explaining the R programming code of this tutorial in the video: