Statistical Modelling with R (Two Day Webinar)
Part 1: 11/11/2024, 9:00 am - 12:30 pm
Part 2: 12/11/2024, 9:00 am - 12:30 pm
Prior knowledge:
It will be assumed that participants are familiar with R.
For example, inputting data, basic visualisation and data frames. Attending the introduction to R courses will provide a sufficient background. This course is suitable to a wide range of applicants.
Course Outline
- Basic hypothesis testing: Examples include the one-sample t-test, one-sample Wilcoxon signed-rank test, independent two-sample t-test, Mann-Whitney test, two-sample t-test for paired samples, Wilcoxon signed-rank test.
- ANOVA tables: One-way and two-way tables.
- Simple and multiple linear regression: Including model diagnostics.
- Clustering: Hierarchical clustering, k-means.
- Principal components analysis: Plotting and scaling data.