Kurskatalog forskarutbildning - VT24
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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 | 2018-04-04 -- 2018-05-07 | 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 | Lectures and online video material, practical exercises (individual and group assignments), peer assessment of other students' solutions. |
| 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 extention of the deadline. |
| Examination | Written examination |
| Kurslitteratur och övriga läromedel | 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. |
| Antal studenter | 18 - 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) date for registration as a doctoral student (priority given to earlier registration date) |
| Övrig information | The course is held at Karolinska University Hospital Huddinge. Course dates: 4/4, 6/4, 13/4, 20/4, 27/4, 4/5, 7/5. Between these course dates, there will be deadlines for mandatory home assignments. Laptop required for programming exercises. The duration of the course has been extended from 1.5 to 2.5 credits. The evaluation report link refers to the previous, shorter version of the course (course number 2657). |
| Ytterligare kursledare | |
| Senaste kursvärdering | Kursvärderingsrapport |
| Kursansvarig |
Jonatan Lindh Institutionen för laboratoriemedicin 08-58581201 Jonatan.Lindh@ki.se Avd. för klin. farmakologi, C1:68 Karolinska universitetssjukhuset Huddinge 14186 Stockholm |
| Kontaktpersoner |
Marine Andersson Institutionen för laboratoriemedicin 08-585 81064 Marine.Andersson@ki.se |
