Learning Statistics with R A tutorial for psychology students and other beginners
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writi...
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Main Author: | |
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Format: | Electronic eBook |
Language: | English |
Published: |
Kensington, Australia
Danielle Navarro
[2018]
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Series: | Open textbook library.
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Subjects: | |
Online Access: | Access online version |
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Table of Contents:
- I. Background
- Chapter 1: Why do we learn statistics?
- Chatper 2: A brief introduction to research design
- II. An introduction to R
- Chapter 3: Getting started with R
- Chapter 4: Additional R concepts
- III. Working with data
- Chapter 5: Descriptive statistics
- Chapter 6: Drawing graphs
- Chapter 7: Pragmatic matters
- Chapter 8: Basic programming
- IV. Statistical theory
- Prelude
- Chapter 9: Introduction to probability
- Chapter 10: Estimating unknown quantities from a sample
- Chapter 11: Hypothesis testing
- V. Statistical tools
- Chapter 12: Categorical data analysis
- Chapter 13: Comparing two means
- Chapter 14: Comparing several means (one-way ANOVA)
- Chapter 15: Linear regression
- Chapter 16: Factorial ANOVA
- VI. Other topics
- Chapter 17: Bayesian statistics
- Chapter 18: Epilogue
- References