Learn R: As a Language

Аuthor: Pedro J. Aphalo

Publisher: Chapman and Hall/CRC; 1 edition (29 July 2020)

Learning a computer language like R can be either frustrating, fun, or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward on overcoming them. This book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. Although rarely mentioned separately, fluency in a computer programming language involves both writing and reading. The parallels between natural and computer languages are many, but differences are also important. For students and professionals in the biological sciences, humanities, and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2020 and beyond.

Features

R as it is currently used

Few prescriptive rules―mostly the author’s preferences together with alternatives

Explanation of the R grammar emphasizing the "R way of doing things"

Tutoring for "programming in the small" using scripts

The grammar of graphics and the grammar of data described as grammars

Examples of data exchange between R and the foreign world using common file formats

Coaching for becoming an independent R user, capable of both writing original code and solving future challenges

What makes this book different from others:

Tries to break the ice and help readers from all disciplines feel at home with R

Does not make assumptions about what the reader will use R for

Attempts to do only one thing well: guide readers into becoming fluent in the R language

Table of Contents:

1. R: the language and the program

2. The R language: “words” and “sentences”

3. The R language: “paragraphs” and “essays”

4. The R language: Statistics

5. The R language: adding new “words”

6. New grammars of data

7. Grammar of graphics

8. Data import and export

9. Bibliography

10. General index

11. Index of R names by category

12. Alphabetic index of R names

PDF:

https://www.mediafire.com/file/9cuk7t3itrvphjn/Learn+R+As+a+Language.pdf/file

EPUB:

https://www.mediafire.com/file/4ckspc2ywskkiya/Learn+R+As+a+Language.epub/file

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