Kurskatalog forskarutbildning - VT22

  • Ansökan kan ske mellan 2021-10-15 och 2021-11-15
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Titel Introduction to R - Data Management, Analysis and Graphical Presentation
Kursnummer 2971
Program 0-Inte del av forskarutbildningsprogram
Språk Engelska
Antal högskolepoäng 2.5
Datum 2021-09-24 -- 2021-10-29
Kursansvarig institution Institutionen för laboratoriemedicin
Särskild behörighet Basic statistical knowledge (e.g. taken ""Basic course in medical statistics"" or similar course)
Kursens syfte To increase the doctoral student's skills in data analysis and data presentation.
Kursens lärandemål 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.
Kursens innehåll 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.
Arbetsformer Online video lectures, web-based seminars and web-based practical exercises (individual and group assignments), peer assessment of other students' solutions. The examination takes place on KI campus.
Obligatoriska moment 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 extension of the deadline.
Examination Written examination.
Kurslitteratur och övriga läromedel Recommended course literature (not mandatory):
Andy Nicholls, Richard Pugh, Aimee Gott, ""R in 24 Hours, Sams Teach Yourself"", Sams Publishing, 2015, ISBN 978-0-672-33848-9.
Antal studenter 15 - 20
Urval av studenter Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) start date of doctoral studies (priority given to earlier start date)
Övrig information The course is web-based, with course dates 24/9 (self-studies), 27/9, 29/9, 6/10, 13/10, 20/10, 27/10. The examination is in Huddinge 29/10. Between these course dates, there will be deadlines for mandatory home assignments. Laptop required for programming exercises and examination.
Ytterligare kursledare Marine Andersson
Senaste kursvärdering Kursvärderingsrapport
Kursansvarig Jonatan Lindh
Institutionen för laboratoriemedicin

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