Statistical Modelling in R (Two Day Webinar)
This is a two day Webinar.
29/04/2024 : Statistical Modelling in R (1) : 13:30 - 17:00
30/04/2024 : Statistical Modelling in R (2) : 13:30 - 17:00
This course will be a mixture of lectures and computer practicals.
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 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: 1-way and 2-way tables.
- Simple and multiple linear regression: including model diagnostics.
- Clustering: hierarchical clustering, kmeans.
- Principal components analysis: plotting and scaling data