R programming

Introduction:

R is a programming language that has grown in popularity in recent times due to its ease of use, statistical application and its ability to handle big data sets, big data!

R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team, of which Chambers is a member. R is named partly after the first names of the first two R authors in about 1993. It is a programming language that is used for data manipulation, visualization and statistics. R is a command line programming language and is free and open source.

R vs. Traditional Spreadsheet Software:

Many users will be familiar with working in spreadsheet programs such as Microsoft Excel. The good news is that all the same functions (and more) are available in R. R gives users more flexibility in terms of how they can access, import, manipulate, query and analyse data, especially big data.

Reasons why R is better than Excel for data analyses:

  • More powerful data manipulation capabilities.
  • Easier automation.
  • Faster computation.
  • It reads any type of data.
  • Easier project organization.
  • It supports larger data sets.
  • Reproducibility (important for detecting errors).
  • Easier to find and fix errors.
  • It’s free.
  • It’s open source.
  • Advanced Statistics capabilities.
  • State-of-the-art graphics.
  • It runs on many platforms.
  • Anyone can contribute packages to improve its functionality.

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