Syllabus database for doctoral courses

  • Syllabus database for doctoral courses


Swedish title Introduktionskurs i R - datahantering, -analys och grafisk presentation
English title Introduction to R - data management, analysis and graphical presentation
Course number 2971
Credits 2.5
Responsible KI department Institutionen för laboratoriemedicin
Specific entry requirements Basic statistical knowledge (e.g. taken ""Basic course in medical statistics"" or similar course)
Grading Passed /Not passed
Established by The Board of Doctoral Education
Established 2017-02-13
Purpose of the course To increase the doctoral student's skills in data analysis and data presentation.
Intended learning outcomes After attending the course, the student will be able to use R for data management, statistical analysis and graphical data presentation. The student will be able to install new functions in R.
Contents of the course 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.
Teaching and learning activities Lectures and online video material, practical exercises (individual and group assignments), peer assessment of other students' solutions.
Compulsory elements The practical exercises and the peer assessments of these are compulsory. Students unable to complete the exercises in time due to e.g. illness can get an extention of the deadline.
Examination Written examination
Literature and other teaching material Recommended course literature (not mandatory):
Nicholls, ""R in 24 Hours, Sams Teach Yourself"", 2015, 978-0-672-33848-9, or Zuur, ""A Beginner Guide to R"", 2009, ISBN 978-0-387-93836-3.
Course responsible Jonatan Lindh
Institutionen för laboratoriemedicin

Avd. för klin. farmakologi, C1:68
Karolinska universitetssjukhuset Huddinge
Contact person Marine Andersson
Institutionen för laboratoriemedicin
08-585 81064