Statistical Modelling in R
- Location:
- Venue details are sent via calendar after booking
- Time:
- Tuesday 31 October 2017, 09:00–16:30
- Presenter:
- Doctoral School
- Contact:
- Doctoral School
- 01248 382357
This is a one day intensive course on modelling in R.
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