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Computing Skills
Computing Skills
  • Introduction
  • File Directory Structures
  • Text Editors
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  • Unix
  • Julia
    • Installation
    • REPL
    • Basic Syntax
    • Numbers and Math
    • Strings and Characters
    • Regular Expressions
    • Control Flow
    • Collections and Data Structures
    • File Input/Output
    • Packages
    • DataFrames
    • JuliaPlots
    • ScikitLearn.jl
    • JuliaStats
    • Exercises
  • Python
    • Installation
    • REPL
    • Basic Syntax
    • Numbers and Math
    • Strings and Characters
    • Regular Expressions
    • Control Flow
    • Collections and Data Structures
    • File Input/Output
    • Packages
    • Data Frames and Data Manipulation
  • R
    • Installation
    • REPL
    • Basic Syntax
    • Numbers and Math
    • Strings and Characters
    • Regular Expression
    • Control Flow
    • Collections and Data Structures
    • File Input/Output
    • Packages
    • DataFrames
    • Data Analysis and Manipulation
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  1. R

Installation

PreviousRNextREPL

Last updated 5 months ago

For most users, it is recommended to download the current stable release from .

Some developers might wish to use a different version, or to switch between versions. For this, the can be useful.

R is also available for use in Brown's :

  • Oscar (for high-performance computing)

  • Stronghold (for secure computing)

macOS

  1. Download and install the latest version of The R Project for Statistical computing for macOS .

  2. For an integrated development environment (IDE) / graphical interface, you can also download and install R Studio from .

Windows

  1. Download and install the latest version of The R Project for Statistical computing for Windows .

  2. For an integrated development environment (IDE) / graphical interface, you can also download and install R Studio from .

https://cloud.r-project.org/
rvenv package
Computing Environments
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