Rを利用した統計学入門(第2版)<br>Discovering Statistics Using R and RStudio(Second Edition)

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紙書籍版価格
¥37,895
  • 電子書籍
  • ポイントキャンペーン

Rを利用した統計学入門(第2版)
Discovering Statistics Using R and RStudio(Second Edition)

  • 著者名:Field, Andy
  • 価格 ¥11,310 (本体¥10,282)
  • SAGE Publications Ltd(2026/02/19発売)
  • もうすぐひな祭り!Kinoppy 電子書籍・電子洋書 全点ポイント25倍キャンペーン(~3/1)
  • ポイント 2,550pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9781526461353
  • eISBN:9781529740165

ファイル: /

Description

Taking you on a voyage of discovery through R and RStudio, this completely updated second edition combines real-world examples and humour with a hands-on ′how to′ approach that brings statistics and programming to life. 

In his characteristic irreverent and engaging style, Andy Field takes a fun and flexible yet rigorous approach to doing statistics in a book that:

  • Builds statistical understanding at an accessible pace, giving you the confidence to develop your statistics and programming knowledge
  • Encourages self-testing and reflection so you can practice your new skills
  • Offers support and resources for whatever your learning style and wherever you are on your journey via a cast of colourful characters

With an exciting new look and new characters to meet, this is the go-to text for anyone in the social and behavioural sciences who wants to learn about statistics in R and R Studio.

Table of Contents

Chapter 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics?
Chapter 2: The SPINE of statistics
Chapter 3: The phoenix of statistics
Chapter 4: ARGH! ARGH!Studio and Quarto
Chapter 5: Describing and visualizing data
Chapter 6: The beast of bias
Chapter 7: Correlation
Chapter 8: The linear model (regression)
Chapter 9: Categorical predictors: Comparing two means
Chapter 10: A tale of three Ms: Moderation, mediation, and missingness
Chapter 11: GLM 1: Comparing several independent means
Chapter 12: GLM 2: Comparing means adjusted for other predictors (analysis of covariance)
Chapter 13: GLM 3: Factorial designs
Chapter 14: GLM 4: Multilevel linear models
Chapter 15: GLM 5: Repeated-measures designs
Chapter 16: GLM 6: Mixed designs
Chapter 17: Exploratory factor analysis
Chapter 18: Categorical outcomes: chi-square and loglinear analysis
Chapter 19: Categorical outcomes: logistic regression
Chapter 20: Epilogue
Appendix
Glossary

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