Introduction to R
Doctoral course within the doctoral programme in Epidemiology
Course number: 2958
Credit points: 1,5
Previous course dates: April 1-5, 2019
Application period: 15th October - 15th November, 2018
The purpose of this course is to introduce students to using the R statistical software to perform basic to intermediate statistical data analysis in a replicable manner.
After successfully completing this course, students are expected to be able to:
- explain basic concepts of the R language and environment, the online- and offline sources of documentation for R, and basic concepts of data management and workflow in a standard statistical analysis,
- run a standard statistical analysis interactively within the R environment,
- formalize and document such a standard analysis as a stand-alone R script,
- produce graphical representations, as part of reporting their analysis,
- interpret their scripts for potential simplifications via functional implementation,
- find, install and compare extension packages for unfamiliar statistical application
The course will cover the basic elements of a standard statistical workflow: reading data into R; pre-processing and quality assessment of data via numerical and graphical methods; descriptive statistics via summary measures, tabulations and graphics; basic statistical inference in terms of significance testing and confidence intervals; specification, fitting & diagnosis of regression models; exporting and reporting results from the previous steps.
The course includes an introduction to the Rstudio integrated development environment to provide a common framework for interactive and scripted analysis. The extensibility of the R system will be demonstrated by example.
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