R Companion to Elementary Applied Statistics
by Christopher Hay-Jahans
1st Edition
Publisher: Chapman & Hall
Book Details
| Print ISBN | 9781138329164 |
| eText ISBN | 9780429827266 |
| Publisher | Chapman & Hall |
| Publishing Year | 2019 |
| Edition | 1st Edition |
| Language | English |
R Companion to Elementary Applied Statistics, 1st Edition, is a textbook that introduces foundational statistical computing and practical programming in R. The text addresses conventional methods taught in introductory statistics alongside additional procedures designed to resolve questions that arise during or after routine analyses.
Readers are guided through entering datasets into R, managing data, performing elementary exploratory data analysis, and designing customized graphics. The presentation also presents selected advanced and non-traditional methods to expand analytical capabilities.
Requiring no prior programming background, this textbook serves as a resource for project-based elementary applied statistics courses and for researchers exploring R in greater depth.
Table of Contents
Chapter 25.: Accessing Contents of Data Structures
- • Extracting Data from Vectors
- • Conducting Data Searches in Vectors
- • Working with Factors
- • Navigating Data Frames
- • Lists
- • Choosing an Access/Extraction Method
- • Additional Notes
- • More About the attach Function
- • About Functions and their Arguments
- • Alternative Argument Assignments in Function Calls
Chapter 39.: Altering and Manipulating Data
- • Altering Entries in Vectors
- • Transformations
- • Manipulating Character Strings
- • Sorting Vectors and Factors
- • Altering Data Frames
- • Sorting Data Frames
- • Moving Between Lists and Data Frames
- • Additional Notes on the merge Function
Chapter 121.: More Graphics Tools
- • Partitioning Graphics Windows
- • The layout Function
- • The splitscreen Function
- • Customizing Plotted Text and Symbols
- • Inserting Mathematical Annotation in Plots
- • More Low-level Graphics Functions
- • The points and symbols Functions
- • The grid, segments and arrows Functions
- • Boxes, Rectangles and Polygons
- • Error Bars
- • Computing Bounds for Error Bars
- • The errorBarplot Function
- • Purpose and Interpretation of Error Bars
- • More R Graphics Resources
Chapter 163.: Tests for More than Two Proportions
- • Equality of Three or More Proportions
- • Pearson’s Homogeneity of Proportions Test
- • Marascuilo’s Large Sample Procedure
- • Cohen’s Small Sample Procedure
- • Simultaneous Pairwise Comparisons
- • Linear Contrasts of Proportions
- • Marascuilo’s Large Sample Approach
- • Cohen’s Small Sample Approach
- • The Chi-square Goodness-of-Fit Test
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