Beginning R 4 : From Beginner to Pro /

Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data),...

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Bibliographic Details
Main Authors:	Wiley, Matt (Author), Wiley, Joshua F. (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Berkeley, CA : Apress : Imprint: Apress, 2020.
Edition:	1st ed. 2020.
Subjects:	Programming languages (Electronic computers). Computer programming. Mathematical statistics. Programming Languages, Compilers, Interpreters. Programming Techniques. Probability and Statistics in Computer Science. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

1: Installing R
2: Installing Packages and Using Libraries
3: Data Input and Output
4: Working with Data
5: Data and Samples
6: Descriptive Statistics
7: Understanding Probability and Distribution
8: Correlation and Regression
9: Confidence Intervals
10: Hypothesis Testing
11: Multiple Regression
12: Moderated Regression
13: Analysts of Variance
Bibliography.