Statistics with R

2019-2020
Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

Biologists often have to handle, analyze, and present analysis results
of large sets of biological data, originating from genomics,
transcriptomics, proteomics, and metabolomics experiments. In many
cases, these tasks cannot be performed using standard “press the button”
commercial statistical packages. A popular solution to this problem is
the use of the open source statistical programming environment R. R is
used intensively in the community of experimental biologists, and most
newly published data analysis techniques are first available as
R-packages.

Goals:
- To obtain knowledge of the structure of the R-language as well as
practical skills in the programming, producing graphs and documents with
R
- To obtain hands on experience in handling and investigation of data
sets
- To obtain an overview of some modern statistical learning techniques

Inhoud vak

This course focuses on obtaining the practical skills to perform data
handling and analysis tasks from small to large data sets, and to
graphically display and interpret the results. Statistical analyses will
center on multivariate analysis. Examples of the generation and
interpretation of (large) data sets will be presented from the various
fields of biology, ranging from cell biology to ecology. The items
treated during the lectures will be studied in computer practical
sessions using R.

Onderwijsvorm

Lectures, tutorials, computer practical work, self-study

Toetsvorm

Assessment will take place by three individual assignments.

Literatuur

A course syllabus with theory and computer exercises will be made
available

Doelgroep

Master students having a background in basic statistics

Aanbevolen voorkennis

Knowledge of basic statistics and some experience with a programming
language

Algemene informatie

Vakcode X_418156
Studiepunten 6 EC
Periode P5
Vakniveau 400
Onderwijstaal Engels
Faculteit Faculteit der Bètawetenschappen
Vakcoördinator dr. D. Molenaar
Examinator dr. D. Molenaar
Docenten dr. D. Molenaar

Praktische informatie

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Werkvormen Hoorcollege, Computerpracticum
Doelgroepen

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