Beginning with R

Shreya Singh
Sep 1, 2018 · 2 min read

If you are planning to venture into the field of data science, you must have heard about the R language. This article aims at giving a brief introduction to R.

As defined on their website , “R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and Mac OS.”

R is used for data manipulation, data analysis, statistical computing and graphics display. It is an implementation of the S language. S is a statistical programming language which was developed in 1976 by John Chambers.

Why should you use R and what are its advantages?

  1. R is free : it’s not a black box, and is available for a wide variety of Unix, platforms, Mac and Windows OS.
  2. It has a statistical computing environment, commands can be saved, run and stored in script files.
  3. R provides some built-in packages, and users are provided with the necessary tools to make their own packages.
  4. It provides logical control of branching and looping, and also supports modular programming.
  5. There is effective handling and storage of output. Graphical output can be viewed on screen, and there are also options to save a PDF format of the same.

How to download R?

  1. Go to https://www.r-project.org/
  2. Click on the download R hyperlink
  3. Choose any mirror and download as per the instructions given on the page that follows.

R-Studio

R-Studio is a a free and open-source Integrated Development Environment for R programming. To download R-Studio, follow the instructions given on https://www.rstudio.com/products/rstudio/download/

Please feel free to mail your comments/corrections/suggestions to explucid@gmail.com

Explucid aims at explaining you stuff in the computer science and technology domain, in a lucid manner.

Shreya Singh

Written by

Explucid

Explucid aims at explaining you stuff in the computer science and technology domain, in a lucid manner.

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