https://github.com/uva-bi-sdad/introduction_to_r

SDAD
https://github.com/uva-bi-sdad/introduction_to_r

bootcamp data-science r teaching-materials

Last synced: about 2 months ago
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SDAD

• Host: GitHub
• URL: https://github.com/uva-bi-sdad/introduction_to_r
• Owner: uva-bi-sdad
• Created: 2019-06-01T19:55:44.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-06-05T14:19:15.000Z (almost 6 years ago)
• Last Synced: 2025-02-07T10:31:24.090Z (3 months ago)
• Topics: bootcamp, data-science, r, teaching-materials
• Size: 4.88 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Introduction to R

This lecture will cover the following topics:

- Using R Markdown files (`Rmd`)

- RStudio Settings and Interface

- Setting up with R environment (`RProj`, `Rprofile`, `Renviron`, `library`)

- Atomic vector types

  - `logical` (logical operators)

  - `integer` 

  - `numeric` as alias for double precision (scalar operations)

  - `complex`

  - `character` (basic natural language processing)

  - `raw`

- Data type information API

  - `str`

  - `summary`

  - `typeof`

  - `dim` / `length`

  - `names` / `dimnames` / `levels`

  - `unique` / `table`

- Collections

  - Data types

    - Arrays

      - `vector`

      - `matrix`

      - `array`

    - `list`

    - Examples of composite types

      - `Date`

      - `Named`

      - `Factor` (basics of plotting)

  - Initiation, accesing, and modifying

    - Pre-allocation

    - `c`

    - `getElement` / `[` / `[[`

    - coerce methods (e.g., `as.vector`)