Statistical Programming training

R Improver - Course 3
F108 - 1 day

This workshop is designed for people that have a basic knowledge of R and wish to expand their knowledge to be able to handle more advanced data management and statistical modelling. In the first part of the workshop you will learn ways to process data in R, so that you can prepare raw data for analysis. You will discover more of R's graphical facilities, so that you can annotate plots and create more complex visualisations. The second part will focus on two widely used statistical modelling techniques: logistic regression for modelling binary or binomial data and survival analysis for modelling time-to-event data.

Topics covered

  • Data management: transforming, sorting, merging, reshaping, aggregating data
  • Graphics: annotating plots, plotting functions, multiple series, lattice graphics
  • Logistic regression
  • Survival analysis

Software Tools Used

We regularly run this course using the following software packages, but please just contact us if you'd like to discuss using your current in-house tool instead:

Who should attend?

  • Statisticians, data analysts or other professionals who would like to use R for statistical analysis.

Recommended Preparation

A basic knowledge of R, such as taught in F106 R Starter Course. Understanding of logistic regression and survival analysis: these topics will be briefly reviewed, for those less familiar with these methods.

Please also see the following workshops:

There are no public workshops currently scheduled for this course - please contact us to learn when we'll next be running it.