Course catalogue doctoral education - VT24
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Title | Introduction to R - data management, analysis and graphical presentation |
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Course number | 2971 |
Programme | 0-Inte del av forskarutbildningsprogram |
Language | English |
Credits | 2.5 |
Date | 2019-09-25 -- 2019-10-28 | Responsible KI department | Institutionen för laboratoriemedicin |
Specific entry requirements | Basic statistical knowledge (e.g. taken ""Basic course in medical statistics"" or similar course) |
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. |
Number of students | 15 - 20 |
Selection of students | 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) |
More information | The course is held at Karolinska University Hospital Huddinge. Course dates: 25/9, 27/9, 4/10, 11/10, 18/10, 25/10, 28/10. Between these course dates, there will be deadlines for mandatory home assignments. Laptop is required for programming exercises. |
Additional course leader | |
Latest course evaluation | Course evaluation report |
Course responsible |
Jonatan Lindh Institutionen för laboratoriemedicin 08-58581201 Jonatan.Lindh@ki.se Avd. för klin. farmakologi, C1:68 Karolinska universitetssjukhuset Huddinge 14186 Stockholm |
Contact person |
Marine Andersson Institutionen för laboratoriemedicin 08-585 81064 Marine.Andersson@ki.se |
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