Last updated: 2025-02-18
Checks: 2 0
Knit directory: Tutorials/
This reproducible R Markdown analysis was created with workflowr (version 1.7.1). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.
Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.
Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.
The results in this page were generated with repository version 397f9b2. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.
Note that you need to be careful to ensure that all relevant files for
the analysis have been committed to Git prior to generating the results
(you can use wflow_publish
or
wflow_git_commit
). workflowr only checks the R Markdown
file, but you know if there are other scripts or data files that it
depends on. Below is the status of the Git repository when the results
were generated:
Ignored files:
Ignored: .DS_Store
Ignored: .RData
Ignored: .Rhistory
Ignored: data/.DS_Store
Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.
These are the previous versions of the repository in which changes were
made to the R Markdown (analysis/Install.Rmd
) and HTML
(docs/Install.html
) files. If you’ve configured a remote
Git repository (see ?wflow_git_remote
), click on the
hyperlinks in the table below to view the files as they were in that
past version.
File | Version | Author | Date | Message |
---|---|---|---|---|
html | 5baa04e | tkcaccia | 2025-02-17 | Build site. |
html | f26aafb | tkcaccia | 2025-02-17 | Build site. |
html | 1ce3cb4 | tkcaccia | 2025-02-16 | Build site. |
html | 681ec51 | tkcaccia | 2025-02-16 | Build site. |
html | 9558051 | tkcaccia | 2024-09-18 | update |
html | a7f82c5 | tkcaccia | 2024-09-18 | Build site. |
html | 83f8d4e | tkcaccia | 2024-09-16 | Build site. |
html | 159190a | tkcaccia | 2024-09-16 | Build site. |
html | 6d23cdb | tkcaccia | 2024-09-16 | Build site. |
Rmd | 8b0b07a | tkcaccia | 2024-09-16 | Start my new project |
R is a powerful language and environment for statistical computing and graphics. RStudio is a popular integrated development environment (IDE) for R that makes R easier to use. In this guide, you will learn how to install both R and RStudio.
.pkg
file and open it to begin
installation.For Linux users, R can be installed via the terminal.
sudo apt update
sudo apt install r-base
Before installing RStudio, you need to have R installed on your machine. Once R is installed, you can proceed with installing RStudio.
Go to the official RStudio website.
In the top menu, click on Products, and then select RStudio.
Scroll down to the RStudio Desktop section and click Download RStudio.
Under the Installers section, you will find the download links for the free version of RStudio Desktop. Click the Download button that matches your operating system:
.exe
installer..dmg
installer..deb
or
.rpm
installer, depending on your Linux distribution..exe
file is downloaded, open the installer by
double-clicking on it..dmg
file by double-clicking on
it.For Linux users, the installation varies depending on the distribution:
.deb
package: ```bash sudo dpkg -i
rstudio-