The Library
Seven practical R books. Included with Pro.
The practical R guides behind the packages you already use — now living, runnable, and yours to keep.
Every book here is included with Pro.
Not just the books — Prova on your own data, the whole runnable curriculum, certificates, and updates.
All seven books
- Visualization
GGPlot2 Essentials
Great Data Visualization in R
The grammar of graphics, one plot at a time — from your first scatter plot to publication-ready figures.
Free lessons · PDF with Pro
- Visualization
R Graphics Essentials
Great Data Visualization in R
The whole R graphics toolkit — pick the right plot for the right data, across ggplot2, ggpubr, and base R.
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- Machine Learning
Machine Learning Essentials
Predictive Modeling in R
Classify, predict, validate, explain — the supervised models the work actually needs, with tidymodels.
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- Machine Learning
Practical Guide to Cluster Analysis in R
Unsupervised Machine Learning
Find the groups hiding in your data — k-means, hierarchical, and beyond, visualized and validated.
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- Machine Learning
Principal Component Methods in R
A Practical Guide to Multivariate Analysis
See the structure in high-dimensional data — PCA, correspondence analysis, and the rest of the multivariate toolkit.
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- Statistics
Comparing Groups: Numerical Variables
Practical Statistics in R
Is the difference real? Run the right test the right way — t-tests, effect sizes, and non-parametric alternatives.
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- Statistics
Inter-Rater Reliability Essentials
Practical Statistics in R
How much do your raters agree? Cohen's kappa, ICC, and the agreement chart — measured and reported.
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One subscription, the whole library — and much more
Every book here is included with Pro, alongside Prova on your own data, the entire runnable curriculum, certificates, saved work, and higher compute.