Feature Engineering and Selection A Practical Approach for Predictive Models by Max Kuhn and Kjell Johnson #RStats https://bigbookofr.com/chapters/machine%20learning.html#feature-engineering-and-selection-a-practical-approach-for-predictive-models

Quantitative Methods in Archaeology Using R by David L. Carson #RStats https://bigbookofr.com/chapters/archeology.html#quantitative-methods-in-archaeology-using-r

The R Language by R Core team #RStats https://bigbookofr.com/chapters/r%20programming.html#the-r-language

Spatial Data Science with R by RSpatial #RStats https://bigbookofr.com/chapters/geospatial.html#spatial-data-science-with-r

Agile Data Science with R by Edwin Thoen #RStats https://bigbookofr.com/chapters/workflow.html#agile-data-science-with-r

Reproducible Medical Research with R by Peter D.R. Higgins, MD, PhD, MSc #RStats https://bigbookofr.com/chapters/life%20sciences.html#reproducible-medical-research-with-r

Practical R for Mass Communication and Journalism by Sharon Machlis #RStats https://bigbookofr.com/chapters/journalism.html#practical-r-for-mass-communication-and-journalism

Introdução à Linguagem R - seus fundamentos e sua prática by Pedro Duarte Faria #RStats https://bigbookofr.com/chapters/português.html#introdução-à-linguagem-r---seus-fundamentos-e-sua-prática

DataViz protocols: An introduction to data visualization protocols for wet lab scientists by Joachim Goedhart #RStats https://bigbookofr.com/chapters/life%20sciences.html#dataviz-protocols-an-introduction-to-data-visualization-protocols-for-wet-lab-scientists

Technical Foundations of Informatics by Michael Freeman and Joel Ross #RStats https://bigbookofr.com/chapters/field%20specific.html#technical-foundations-of-informatics

End-to-End Solved Problems With R a catalog of 26 examples using statistical inference by Nicole Radziwill #RStats https://bigbookofr.com/chapters/statistics.html#end-to-end-solved-problems-with-r-a-catalog-of-26-examples-using-statistical-inference

Manual de R para Epidemiologistas https://bigbookofr.com/chapters/português.html#manual-de-r-para-epidemiologistas #RStats

Ace The Data Science Interview by Kevin Huo and Nick Singh #RStats https://bigbookofr.com/chapters/career%20and%20community.html#ace-the-data-science-interview

Time Series - A Data Analysis Approach Using R by Robert H. Shumway and David S. Stoffer #RStats https://bigbookofr.com/chapters/time%20series%20analysis%20and%20forecasting.html#time-series---a-data-analysis-approach-using-r

Introduction to Data Science by Rafael A Irizarry #RStats https://bigbookofr.com/chapters/data%20science.html#introduction-to-data-science

Marginal Effects Zoo by Vincent Arel-Bundock #RStats https://bigbookofr.com/chapters/packages.html#marginal-effects-zoo

An R Platform for Social Scientists by Burak AYDIN, James ALGINA, Walter LEITE and Hakan ATILGAN #RStats https://bigbookofr.com/chapters/social%20science.html#an-r-platform-for-social-scientists

Introduction to Data Science by Hansjörg Neth #RStats https://bigbookofr.com/chapters/data%20science.html#introduction-to-data-science

Lightweight Machine Learning Classics with R Marek Gagolewski https://bigbookofr.com/chapters/machine%20learning.html#lightweight-machine-learning-classics-with-r-marek-gagolewski #RStats

The Programmer's Brain What every programmer needs to know about cognition by Felienne Hermans #RStats https://bigbookofr.com/chapters/career%20and%20community.html#the-programmers-brain--what-every-programmer-needs-to-know-about-cognition

A Business Analyst’s Introduction to Business Analytics by Adam Fleischhacker #RStats https://bigbookofr.com/chapters/data%20science.html#a-business-analysts-introduction-to-business-analytics

The Effect An Introduction to Research Design and Causality by Nick Huntington-Klein #RStats https://bigbookofr.com/chapters/statistics.html#the-effect-an-introduction-to-research-design-and-causality

Applied Microeconometrics by Paula Moraga #RStats https://bigbookofr.com/chapters/geospatial.html#applied-microeconometrics

Handbook of Regression Modeling in People Analytics by Keith McNulty #RStats https://bigbookofr.com/chapters/people%20analytics.html#handbook-of-regression-modeling-in-people-analytics

Exploratory Data Analysis with R by Roger Peng #RStats https://bigbookofr.com/chapters/data%20science.html#exploratory-data-analysis-with-r

An Open-Source Active Learning Curriculum for Data Science in Engineering by Zachary del Rosario #RStats https://bigbookofr.com/chapters/field%20specific.html#an-open-source-active-learning-curriculum-for-data-science-in-engineering

Supervised Machine Learning for Text Analysis in R by Emil Hvitfeldt and Julia Silge #RStats https://bigbookofr.com/chapters/text%20analysis.html#supervised-machine-learning-for-text-analysis-in-r

A gRadual intRoduction to Shiny by Ted Laderas and Jessica Minnier #RStats https://bigbookofr.com/chapters/shiny.html#a-gradual-introduction-to-shiny

Applied Microeconometrics by Paula Moraga #RStats https://bigbookofr.com/chapters/geospatial.html#applied-microeconometrics

DataViz protocols: An introduction to data visualization protocols for wet lab scientists by Joachim Goedhart #RStats https://bigbookofr.com/chapters/life%20sciences.html#dataviz-protocols-an-introduction-to-data-visualization-protocols-for-wet-lab-scientists

Engineering Production-Grade Shiny Apps by Colin Fay, Sébastien Rochette, Vincent Guyader and Cervan Girard #RStats https://bigbookofr.com/chapters/shiny.html#engineering-production-grade-shiny-apps

Modern Data Science with R by Benjamin S. Baumer, Daniel T. Kaplan and Nicholas J. Horton #RStats https://bigbookofr.com/chapters/data%20science.html#modern-data-science-with-r

An Open Compendium of Soil Datasets by Tomislav Hengl #RStats https://bigbookofr.com/chapters/life%20sciences.html#an-open-compendium-of-soil-datasets

Crime by the Numbers A Criminologist’s Guide to R by Jacob Kaplan #RStats https://bigbookofr.com/chapters/social%20science.html#crime-by-the-numbers-a-criminologists-guide-to-r

Handbook of Graphs and Networks in People Analytics With Examples in R and Python by Keith McNulty #RStats https://bigbookofr.com/chapters/people%20analytics.html#handbook-of-graphs-and-networks-in-people-analytics-with-examples-in-r-and-python

R Data Science Quick Reference by Thomas Mailund #RStats https://bigbookofr.com/chapters/data%20science.html#r-data-science-quick-reference

Introduction to R for Social ScientistsA Tidy Programming Approach by Ryan Kennedy and Philip Waggoner #RStats https://bigbookofr.com/chapters/social%20science.html#introduction-to-r-for-social-scientistsa-tidy-programming-approach

Análise Preditiva com Azure Machine Learning e R by Diego Nogare and Thiago Zavaschi #RStats https://bigbookofr.com/chapters/português.html#análise-preditiva-com-azure-machine-learning-e-r

Surrogates - Gaussian process modeling, design and optimization for the applied sciences by Robert B. Gramacy #RStats https://bigbookofr.com/chapters/machine%20learning.html#surrogates---gaussian-process-modeling-design-and-optimization-for-the-applied-sciences

Applied Microeconometrics with R by Achim Zeileis and Christian Kleiber #RStats https://bigbookofr.com/chapters/economics.html#applied-microeconometrics-with-r

Building energy statistical modelling by Simon Rouchier #RStats https://bigbookofr.com/chapters/statistics.html#building-energy-statistical-modelling

JavaScript for R by John Coene #RStats https://bigbookofr.com/chapters/data%20visualization.html#javascript-for-r

R para epidemiología aplicada y salud pública by Neale Batra, Alex Spina and Paula Bianca Blomquist #RStats https://bigbookofr.com/chapters/español.html#r-para-epidemiología-aplicada-y-salud-pública

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

Crime by the Numbers A Criminologist’s Guide to R by Jacob Kaplan #RStats https://bigbookofr.com/chapters/field%20specific.html#crime-by-the-numbers-a-criminologists-guide-to-r

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

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

An introduction to psychometric theory with applications in R by William Revelle #RStats https://bigbookofr.com/chapters/psychology.html#an-introduction-to-psychometric-theory-with-applications-in-r

Assigning cell types with SingleR by Aaron Lun and contributors #RStats https://bigbookofr.com/chapters/life%20sciences.html#assigning-cell-types-with-singler

Github actions with R by Chris Brown, Murray Cadzow, Paula A Martinez, Rhydwyn McGuire, David Neuzerling and David Wilkinson, Saras Windecker #RStats https://bigbookofr.com/chapters/version%20control.html#github-actions-with-r