RCC-4B-2e
Available now

R Crash Course for Biologists, 2nd Edition

Book 1 · Foundations · By Dr. Robert I. Colautti

Your first chapters of R, from install.packages() to your first publishable figure. Real biological datasets throughout — invasive plant ecology, community ecology surveys, biostatistics worked examples. Designed for biology students and working researchers with no prior coding experience.

RSCC-4B
In development

R for STATS Crash Course for Biologists

Book 2 · Statistical modelling for the working biologist

From the t-test to mixed models, GLMs, and reproducible analysis pipelines. Builds on Book 1's foundations to teach the statistical methods biologists actually use in published papers.

RMLCC-4B
In development

R for Machine Learning Crash Course for Biologists

Book 3 · Machine learning for biological prediction

Random forests, gradient boosting, neural networks, and interpretation tools applied to biological prediction problems — species distribution modelling, classification of microbial communities, image-based phenotyping.

RBCC-4B
In development

R Bioinformatics Crash Course for Biologists

Book 4 · Genomics & sequence analysis in R

From DNA barcoding through population genomics. Working with sequence data, building phylogenies, calling variants, and integrating R with command-line bioinformatics tools.

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