Course description
R is a powerful software/programming language for data analysis and graphical presentation. R is free-of-charge, and in most cases a useful alternative to commercial statistical software. The programming language is completely text-based, making it challenging compared to software with a graphical user interface. However, it offers greater flexibility, better control over analyses and an automatic documentation of performed analyses.
The course focuses on structure and basic functions of the R programming language . A selection of functions for data management, statistical analysis and graphics is presented. The methods included are commonly used methods in clinical medical science (e.g. t-test, ANOVA, chi2-test, regression and survival analysis, box, line scatter, and bar plots). The course focuses mainly on how the various methods are applied in R and not their theroretical background, underlying assumptions or the theoretical intepretation of the results.
Prerequisites and Selection
Prerequisite courses, or equivalent
Basic statistical knowledge (e.g. taken ""Basic course in medical statistics"" or similar course)
Selection
Selection will be based on:
1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written motivation).
2) start date of doctoral studies (priority given to earlier start date).
Course director
Jonatan Lindh
Marine Andersson
Course syllabus
H5F6091
Department
Department of Laboratory Medicine
Doctoral programme
**Not within a doctoral programme
Type of course
Statistics Software
Keywords
data analysis, data management, statistical analysis, R, graphics, dataanalys, databehandling, statistisk analys, grafik