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Top 10 R Programming Books To Teach Yourself in 2020

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R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

Learning R can be tough without prior programming experience. But it’s not impossible.

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R Programming language is environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.

R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes

  • an effective data handling and storage facility,
  • a suite of operators for calculations on arrays, in particular matrices,
  • a large, coherent, integrated collection of intermediate tools for data analysis,
  • graphical facilities for data analysis and display either on-screen or on hardcopy, and
  • a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.

Learning R can be tough without prior programming experience. But it’s not impossible.

Contents

  1. The Art of R
  2. Learning R
  3. R in Action
  4. Practical Data Science with R
  5. The Book of R
  6. R for Everyone
  7. R For Dummies
  8. Efficient R Programming
  9. R Packages
  10. ggplot2: Elegant Graphics for Data Analysis

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Top 10 R Programming Books To Teach Yourself in 2020

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