Big Book of R

Hello world! I'm the Big Book of R bot 🤖. Every few hours I post a random entry from my collection of over 400 open-sourced, free #RStats books.

Audit Analytics with R by Jonathan Lin #RStats https://bigbookofr.com/chapters/field%20specific.html#audit-analytics-with-r

Hierarchical Compartmental Reserving Models by Markus Gesmann and Jake Morris #RStats https://bigbookofr.com/chapters/field%20specific.html#hierarchical-compartmental-reserving-models

Fundamentals of Wrangling Healthcare Data with R by J. Kyle Armstrong #RStats https://bigbookofr.com/chapters/life%20sciences.html#fundamentals-of-wrangling-healthcare-data-with-r

R for Social Network Analysis by David Schoch #RStats https://bigbookofr.com/chapters/network%20analysis.html#r-for-social-network-analysis

Research Software Engineering by Matthias Bannert #RStats https://bigbookofr.com/chapters/workflow.html#research-software-engineering

The caret Package by Max Kuhn #RStats https://bigbookofr.com/chapters/machine%20learning.html#the-caret-package

Numerical Ecology with R by Daniel Borcard, François Gillet and Pierre Legendre #RStats https://bigbookofr.com/chapters/life%20sciences.html#numerical-ecology-with-r

Data Science for Economists and Other Animals by Grant McDermott #RStats https://bigbookofr.com/chapters/economics.html#data-science-for-economists-and-other-animals

Computer-age Calculus with R by Daniel Kaplan #RStats https://bigbookofr.com/chapters/field%20specific.html#computer-age-calculus-with-r

The R Series by CRC Press by A book series #RStats https://bigbookofr.com/chapters/other%20compendiums.html#the-r-series-by-crc-press

Causal Inference: The Mixtape by Scott Cunningham #RStats https://bigbookofr.com/chapters/statistics.html#causal-inference-the-mixtape

Larger-Than-Memory Data Workflows with Apache Arrow by Danielle Navarro, Jonathan Keane and Stephanie Hazlitt #RStats https://bigbookofr.com/chapters/big%20data.html#larger-than-memory-data-workflows-with-apache-arrow

Doing Bayesian Data Analysis in brms and the tidyverse by A Solomon Kurz #RStats https://bigbookofr.com/chapters/statistics.html#doing-bayesian-data-analysis-in-brms-and-the-tidyverse

ggplot2 in 2 by Lucy D'Agostino McGowan #RStats https://bigbookofr.com/chapters/data%20visualization.html#ggplot2-in-2

Analyzing Financial and Economic Data with R by Marcelo S. Perlin #RStats https://bigbookofr.com/chapters/economics.html#analyzing-financial-and-economic-data-with-r

Reproducible Analytical Pipelines (RAP) Companion by Matthew Gregory and Matthew Upson #RStats https://bigbookofr.com/chapters/workflow.html#reproducible-analytical-pipelines-(rap)-companion

Discrete Data Analysis with R Visualization and Modeling Techniques for Categorical and Count Data by Michael Friendly and David Meyer #RStats https://bigbookofr.com/chapters/field%20specific.html#discrete-data-analysis-with-r-visualization-and-modeling-techniques-for-categorical-and-count-data

Awesome network analysis https://bigbookofr.com/chapters/network%20analysis.html#awesome-network-analysis #RStats

Interpretable Machine Learning by Christoph Molnar #RStats https://bigbookofr.com/chapters/machine%20learning.html#interpretable-machine-learning

Visualization for Social Data Science by Roger Beecham #RStats https://bigbookofr.com/chapters/data%20visualization.html#visualization-for-social-data-science

Statistical Thinking in the 21st Century by Russell Poldrack #RStats https://bigbookofr.com/chapters/statistics.html#statistical-thinking-in-the-21st-century

Art from Code by Danielle Navarro #RStats https://bigbookofr.com/chapters/art.html#art-from-code

R for Excel users by Julie Lowndes and Allison Horst #RStats https://bigbookofr.com/chapters/r%20programming.html#r-for-excel-users

Introduction to Computational Finance and Financial Econometrics with R by Eric Zivot #RStats https://bigbookofr.com/chapters/finance.html#introduction-to-computational-finance-and-financial-econometrics-with-r

R Programming for Actuarial Science by Alfred Kume and Peter McQuire #RStats https://bigbookofr.com/chapters/field%20specific.html#r-programming-for-actuarial-science

Visualization for Social Data Science by Roger Beecham #RStats https://bigbookofr.com/chapters/data%20visualization.html#visualization-for-social-data-science

ggplot2 in 2 by Lucy D'Agostino McGowan #RStats https://bigbookofr.com/chapters/data%20visualization.html#ggplot2-in-2

HR Analytics in R by Chester Ismay, Albert Y. Kim and Hendrik Feddersen #RStats https://bigbookofr.com/chapters/people%20analytics.html#hr-analytics-in-r

GT Cookbook Advanced by Thomas Mock #RStats https://bigbookofr.com/chapters/packages.html#gt-cookbook-advanced

Fundamentals of Wrangling Healthcare Data with R by J. Kyle Armstrong #RStats https://bigbookofr.com/chapters/life%20sciences.html#fundamentals-of-wrangling-healthcare-data-with-r

The Tidynomicon by Greg Wilson #RStats https://bigbookofr.com/chapters/r%20programming.html#the-tidynomicon

Mastering Software Development in R by Roger D. Peng, Sean Kross and Brooke Anderson #RStats https://bigbookofr.com/chapters/r%20programming.html#mastering-software-development-in-r

Time Series Analysis and Its Applications by Robert H. Shumway and David S. Stoffer #RStats https://bigbookofr.com/chapters/time%20series%20analysis%20and%20forecasting.html#time-series-analysis-and-its-applications

The Grammar of Experimental Designs by Emi Tanaka #RStats https://bigbookofr.com/chapters/statistics.html#the-grammar-of-experimental-designs

The targets R Package Design Specification by Will Landau #RStats https://bigbookofr.com/chapters/workflow.html#the-targets-r-package-design-specification

Regression and Other Stories by Andrew Gelman, Jennifer Hill and Aki Vehtari #RStats https://bigbookofr.com/chapters/statistics.html#regression-and-other-stories

Cleaning Biodiversity Data in R by Atlas of Living Australia #RStats https://bigbookofr.com/chapters/life%20sciences.html#cleaning-biodiversity-data-in-r

Using R for Social Work Research by Jerry Bean #RStats https://bigbookofr.com/chapters/social%20science.html#using-r-for-social-work-research

data.table in R The Complete Beginners Guide by Selva Prabhakaran #RStats https://bigbookofr.com/chapters/packages.html#data.table-in-r-the-complete-beginners-guide

Model-Based Clustering and Classification for Data Science by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian E. Raftery #RStats https://bigbookofr.com/chapters/data%20science.html#model-based-clustering-and-classification-for-data-science

Text Mining with R by Julia Silge and David Robinson #RStats https://bigbookofr.com/chapters/getting%20cleaning%20and%20wrangling%20data.html#text-mining-with-r

Reproducible statistics for psychologists with R: Lab Tutorials by Matthew J. C. Crump #RStats https://bigbookofr.com/chapters/psychology.html#reproducible-statistics-for-psychologists-with-r-lab-tutorials

Deep Learning and Scientific Computing with R torch by Sigrid Keydana #RStats https://bigbookofr.com/chapters/packages.html#deep-learning-and-scientific-computing-with-r-torch

Modern Statistical Methods for Psychology by Mine Çetinkaya-Rundel and Jo Hardin #RStats https://bigbookofr.com/chapters/psychology.html#modern-statistical-methods-for-psychology

Biological Data Science with R by Stephen Turner #RStats https://bigbookofr.com/chapters/getting%20cleaning%20and%20wrangling%20data.html#biological-data-science-with-r

CRAN doc collections https://bigbookofr.com/chapters/other%20compendiums.html#cran-doc-collections #RStats

Data Visualization - A practical introduction by Kieran Healy #RStats https://bigbookofr.com/chapters/data%20visualization.html#data-visualization---a-practical-introduction

R Programming for Psychometrics by Susu Zhang #RStats https://bigbookofr.com/chapters/psychology.html#r-programming-for-psychometrics

Awesome network analysis https://bigbookofr.com/chapters/other%20compendiums.html#awesome-network-analysis #RStats

R language for programmers by John D Cook #RStats https://bigbookofr.com/chapters/r%20programming.html#r-language-for-programmers