This series of workshops provides hands on lessons about using R, a programming language and environment for statistics and data sciences. Over the semester, you will learn some basics of R programming and do some simple analyses in R.
This GitHub repository stores all the resources for the workshops, including HTML, R Markdown, and R script. You can download your weekly materials from here or Moodle.
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Week 1 Introduction to
Rand Setup.
GettingRinstalled, setup, and learning a few basics from the Honours Workshop. -
Week 2 Getting Started in
R. Please see Week2_GetStarted.html. -
Week 3 Working with Data. Please see Week3_WorkData.html.
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Week 4 Scoring. Please see Week4_Scoring.html.
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Week 5 Assumptions. Please see Week5_Assumptions.html.
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Week 6 Multiple Regression 1. Please see Week6_LM1.html.
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Week 7 Multiple Regression 2. Please see Week7_LM2.html.
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Week 8 Moderated Regression. Please see Week8_LMModeration.html.
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Week 9 ANOVA 1. Please see Week9_ANOVA1.html.
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Week 10 ANOVA 2. Please see Week10_ANOVA2.html.
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Week 11 Model Comparison. Please see Week11_ModelComparison.html.
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Week 12 Data Visualisation. Please see Week12_DataVisualisation.html.
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Otional General Programming in
R. Please see Week13_Programming.html.