Statistical analysis and presentation using R
An overview of R functions used in Statistics I
Preface
This book presents the R materials related to the course Statistics I.
We have divided the book into two parts:
Working with data in R. This parts focuses on using R and Rstudio, on reading data into R and modifying it using R functions.
Statistical analysis in R. This part focuses on conducting statistical analyses in R.
This part also provides general guidelines on how to present and correctly report the output from statistical analyses. For different tests or measures of association, you will find the output from the statistical software as well as additional information:
This box contains information on the output.
This box contains general guidelines for the interpretation of the results, e.g. different ‘rule-of-thumb’ for the interpretation of effect sizes.
✓ This box shows the general format of how you should report the result of your analysis
Overview per week
For each week in the course, you need to read relevant chapters in both sections. In 2023-2024 this is:
| Week | Working with data in R | Statistical analysis in R |
|---|---|---|
| 1 | 1 Working with R and RStudio: the basics, paragraph 1 to 7 | 7 Measures of central tendency and dispersion |
| 2 | 1 Working with R and RStudio: the basics, paragraph 8 | 8 Graphing using ggplot2, 9 Tables and 10 Probability in R |
| 3 | 2 Filtering, selecting & renaming | 11 Normal distribution and 12 Inference for proportions, paragraph 1 and 2 |
| 4 | 3 Creating, summarising & recoding variables and 4 Missing data | 12 Inference for proportions |
| 5 | 5 Advanced recoding of variables | 13 Chi-squared and measures of association |
| 6 | - | 14 T-tests for means |
| 7 | 6 Combining & joining data sets | 15 Power analysis and 16 ANOVA |