https://github.com/kaizadp/introductoryr

This repository includes scripts, tutorials, and practice datasets for R beginners.
https://github.com/kaizadp/introductoryr

beginners-tutorial-series introduction-to-r rstudio

Last synced: 5 months ago
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This repository includes scripts, tutorials, and practice datasets for R beginners.

• Host: GitHub
• URL: https://github.com/kaizadp/introductoryr
• Owner: kaizadp
• License: mit
• Created: 2020-03-31T19:56:20.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2022-08-11T22:36:44.000Z (almost 4 years ago)
• Last Synced: 2025-04-14T03:54:03.168Z (about 1 year ago)
• Topics: beginners-tutorial-series, introduction-to-r, rstudio
• Language: R
• Homepage:
• Size: 8.93 MB
• Stars: 5
• Watchers: 2
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: readme.Rmd
  • License: LICENSE

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README

          
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title: "introductoryR"

author: "Kaizad F. Patel"  

output: github_document

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3/31/2020  

Last updated/run: `r Sys.Date()`  

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This repository includes scripts and practice datasets for R beginners.

Download R [here](https://www.r-project.org) and RStudio [here](https://rstudio.com).  

Download *both* programs, we will use RStudio as a User Interface (UI) to run R.

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Download files in the `data` directory, and download the R scripts needed.  

_to download the entire repository (recommended):_  

1. click on `Clone or download`  

2. select `Download ZIP` 

_to download an individual file:_  

1. click on the file  

2. right-click on `Raw`  

3. select the `save/download linked file as ...` option to save the file

- save all the files in one location and maintain the directory structure (e.g. `data` and `processed` directories)  

- create a new empty directory `processed`, you will export processed files there.

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