| Day and time | Topic |
|---|---|
| Day 1 Morning | Introduction to RStudio: Panes and shortcuts Building objects: vectors, matrices, data files, lists (section 1 only) Standards for writing a clean code Use of packages Hands-on with a package for meta-analysis Go to folder meta-analysis, power, and packages |
| Day 1 Afternoon | Go to folder Read & Clean Data for both data and code Reading data, including reading data directly from Dropbox, the WEB, and sites such as Qualtrics Treatment of missing values Stem-and-leaf, box-plot Sub-setting (selecting) columns, rows Outputting publication-ready tables to Word |
| Homework | Importing data from Excel or SPSS to R Checking for missing data Exploring distributions |
| Day 2 Morning | ifelse Writing functions and loops Reading help menus for built-in functions and packages Searching help on the web Reliability testing, building scales, creating files with scales only |
| Day 2 Afternoon | Hypothesis testing: t-test, ANOVA, regression |
| Homework | Running ANOVA, regressions Preparing a scatterplot with a regression line |
| Day 3 Morning | Regressions intermmreediate (centering, standardiztion, moderation) Using Rmarkdown to create text and Word tables |
| Day 3 Afternoon | Using graphics packages Defining the shape of the graph by the user Saving publication ready graphs as PNG or PDF |
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