Springer Singapore, 2023. — 292 p. — ISBN: 978-981-99-2885-9.
Provides useful exercises and practice problems at the end of each chapter. Features with the numbering of each R code line in boxes with comments.
Presents a useful list of R packages and functions, grouped in different sections.
R Language: Introduction.
Obtaining and Installing R Language.
Using R as a Calculator.
Data Mode and Data Structure.
Working with Data.
Descriptive Statistics.
Probability and Probability Distributions.
Confidence Intervals and Comparison Tests.
Correlation and Regression Analysis.
Graphing in R.
Control Flow: Selection and Iteration.
Functions and R Resources.
Common Errors and Mistakes.
Functions for Better Programming.
Some Useful Functions.
Important Packages.