R for Non-Programmers (Hardcover)

Welcome About the author?Acknowledgements 1. Readme. before you get started 2. Why learn a programming language as a non-programmer? 3. Setting up R and RStudio 4. The RStudio Interface 5. R Basics: The very fundamentals 6. Starting your R projects 7. Data Wrangling 8. Descriptive Statistics 9. Sources of Bias: Outliers, Normality and other 'Conundrums' 10. Correlations 11. Power: You either have it or you don't 12. Comparing Groups 13. Regression: Creating Models to Predict Future Observations 14. Mixed-Methods Research: Analysing Qualitative Data in R 15. Where to go from here: The next steps in your R journey Epilogue Appendix?References