Astraios Courses

Reproducible data analysis in r  

Description

Learning outcomes The student will know how to work with different data formats, she is able to create pleasing, informative publication quality visualizations, fit and visualize linear models, and to analyse her data in an effective and reproducible manner. She will also have basic skills in using the R functions best suited for biological data analysis. Brief description of content 1. file structures, git, RStudio, importing data (1) 2. base::R - indexing, vector calculation, functions (1) 3. ggplot (2) 4. Data munging. dplyr (3) 5. Regular expressions. stringr (1) 6. working with datetimes. lubridate (1) 7. apply/map (1-2)

Delivery mode

Presential
English

Name

Reproducible data analysis in r
English

UNIVERSITY OF TWENTE

Faculty of Geo-Information Science and Earth Observation

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