Kursplansdatabas för forskarutbildningskurser
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Kursplansdatabas för forskarutbildningskurser
KURSPLANER FÖR FORSKARUTBILDNINGSKURSER
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| Svensk benämning | Introduktion till statistisk analys med R för biologer |
|---|---|
| Engelsk benämning | Introduction to R statistical analysis for biologists |
| Kursnummer | 2570 |
| Antal högskolepoäng | 1.5 |
| Kursansvarig institution | Institutionen för medicin, Solna |
| Särskild behörighet | |
| Betygsskala | Godkänd/Icke godkänd |
| Fastställd av | The Board of Doctoral Education |
| Datum för fastställande | 2017-03-10 |
| Kursens syfte | For student to learn how to use R for performing data analysis, in particular statistics and visualization. As a programming language built for statistics, R allows a greater degree of freedom of doing data analysis compared to graphical statistics and spreadsheet programs, allowing student to do more advanced data analysis than they otherwise could do, while also being a less demanding programming language for beginners. The course also teaches statistics, which is useful for any data analysis. |
| Kursens lärandemål | 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. |
| Kursens innehåll | 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. |
| Arbetsformer | The course consists of lectures, computer excercises and project work. |
| Obligatoriska moment | 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). |
| Kurslitteratur och övriga läromedel | Recommended reading: 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 |
Kursansvarig |
Lina Diaz-Gallo Institutionen för medicin, Solna +46851770310 +46760630591 lina.diaz@ki.se Karolinska University Hospital - CMM L8:05 Diaz-Gallo 171 76 Stockholm |
| Kontaktpersoner |
