Course catalogue doctoral education - VT24

    Startpage
  • Application can be done between 2023-10-16 and 2023-11-15
Application closed
Print
Title Introduction to R statistical analysis for biologists
Course number 2570
Programme Cell Biology and Genetics
Language English
Credits 1.5
Date 2015-11-09 -- 2015-11-13
Responsible KI department Department of Cell and Molecular Biology
Specific entry requirements
Intended learning outcomes After the completion of the course, the participants will be able to make use of R for exploring and analyzing data sets. More specifically, the participants will be able to manage data sets, perform descriptive data analysis, generate plots for graphical display of data, and to perform tests such as Regression and ANOVA. A very specific goal is to provide the participants with a long-term tool and the guidelines for improving their knowledge on it.
Contents of the course Data sets and formats in R. Descriptive statistics. Graphical display of data. Classical tests. Regression, ANOVA, Kruskal-Wallis. Experimental design. Graphical display of analysis. Use of documentation in R.
Teaching and learning activities The course consists of lectures, computer excercises and project work.
Compulsory elements Attendance is compulsory in lectures and computer excercises. Absence from obligatory moments is compensated
according to the instructions of the course director.
Examination The acquired knowledge and skills will be examined in two ways: by successfully completing computer exercises and by a individual project (analysis of a selected data set; which can be provided by the student).
Literature and other teaching material 1. A Beginner's Guide to R. Zuur AF , Ieno EN, Meesters E. Springer.
2. http://www.r-project.org
3. Statistical Computing: An Introduction to Data Analysis using S-Plus. Crawley MJ. Wiley.
4. Introductory Statistics with R. Dalgaard P. Springer.
5. A Handbook of Statistical Analyses Using R. Everitt BS, Hothorn T. Chapman and Hall/CRC.
6. http://cran.r-project.org/doc/contrib/Krijnen-IntroBioInfStatistics.pdf
Number of students 10 - 15
Selection of students Selection is based on the relevance of the course content for the doctoral project, the personal motivation included in the course application and the date for registration as a doctoral student (priority given to earlier registration date).
More information The course takes place at CMB at KI Solna campus, in the seminar room A216. Entrance Berzeliusv 35. The course director is Dr. David Gomez-Cabrero at the Department of Medicine, Solna. Email david.gomezcabrero@ki.se.
Additional course leader
Latest course evaluation Course evaluation report
Course responsible Matti Nikkola
Department of Cell and Molecular Biology

Matti.Nikkola@ki.se
Contact person -