info Overview
R is the primary statistical computing environment used across all DASCLAB courses and research projects. Its extensive ecosystem — particularly the tidyverse collection of packages — makes data manipulation, visualisation, and statistical modelling intuitive and reproducible. DASCLAB uses R for biostatistics, survival analysis, Bayesian spatial modelling, time series analysis, and data science education.
checklist Key Features
- Comprehensive statistical computing: from classical to Bayesian
- Tidyverse ecosystem: dplyr, ggplot2, tidyr, purrr
- RStudio IDE with integrated notebook and version control
- CRAN repository: 20,000+ community packages
- Bioconductor for genomics and bioinformatics
- R Markdown and Quarto for reproducible reports
photo_library Screenshots
RStudio IDE with integrated data viewer and plots pane
ggplot2 choropleth map of Kenya health indicators
article Publications
DASCBio: An R Package for Survival Analysis with African Health Data
Bayesian Spatial Modelling of Road Traffic Accidents in Nairobi County