Data Science with R for Psychologists and Healthcare Professionals
eBook - ePub

Data Science with R for Psychologists and Healthcare Professionals

  1. 300 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Science with R for Psychologists and Healthcare Professionals

About this book

This introduction to R for students of psychology and health sciences aims to fast-track the reader through some of the most difficult aspects of learning to do data analysis and statistics. It demonstrates the benefits for reproducibility and reliability of using a programming language over commercial software packages such as SPSS. The early chapters build at a gentle pace, to give the reader confidence in moving from a point-and-click software environment, to the more robust and reliable world of statistical coding. This is a thoroughly modern and up-to-date approach using RStudio and the tidyverse. A range of R packages relevant to psychological research are discussed in detail. A great deal of research in the health sciences concerns questionnaire data, which may require recoding, aggregation and transformation before quantitative techniques and statistical analysis can be applied. R offers many useful and transparent functions to process data and check psychometric properties. These are illustrated in detail, along with a wide range of tools R affords for data visualisation. Many introductory statistics books for the health sciences rely on toy examples - in contrast, this book benefits from utilising open datasets from published psychological studies, to both motivate and demonstrate the transition from data manipulation and analysis to published report. R Markdown is becoming the preferred method for communicating in the open science community. This book also covers the detail of how to integrate the use of R Markdown documents into the research workflow and how to use these in preparing manuscripts for publication, adhering to the latest APA style guidelines.

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Yes, you can access Data Science with R for Psychologists and Healthcare Professionals by Christian Ryan in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Acknowledgements
  6. Table of Contents
  7. 2. The R Environment
  8. 3. The Basics
  9. 4. Working Practices
  10. 5. Dataset Excel
  11. 6. Dataset csv
  12. 7. Dataset SPSS
  13. 8. Coding New Variables and Scale Reliability
  14. 9. Normality
  15. 10. Outliers
  16. 11. Descriptive Statistics
  17. 12. Graphs with ggplot2
  18. 13. Correlation—Bivariate
  19. 14. Correlation—Partial
  20. 15. One-Way ANOVA—Model Data
  21. 16. One-Way ANOVA—Real Data
  22. 17. Factorial ANOVA
  23. 18. ANCOVA
  24. 19. Repeated Measures ANOVA
  25. 20. Regression
  26. 21. Non-parametric Tests
  27. 22. Categorical Data Analysis
  28. 23. What Else can R Do?
  29. 24. Functions
  30. References
  31. Index