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R Language
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*apply family of functions (functionals)
.Rprofile
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Analyze tweets with R
ANOVA
Arima Models
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boxplot
caret
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dplyr
Expression: parse + eval
Extracting and Listing Files in Compressed Archives
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Functional programming
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Get user input
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heatmap and heatmap.2
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Hierarchical Linear Modeling
I/O for database tables
I/O for foreign tables (Excel, SAS, SPSS, Stata)
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Implement State Machine Pattern using S4 Class
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Introduction to Geographical Maps
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lubridate
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Meta: Documentation Guidelines
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Non-standard evaluation and standard evaluation
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Object-Oriented Programming in R
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Pivot and unpivot with data.table
Probability Distributions with R
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R in LaTeX with knitr
R Markdown Notebooks (from RStudio)
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Random Forest Algorithm
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Raster and Image Analysis
Rcpp
Reading and writing strings
Reading and writing tabular data in plain-text files (CSV, TSV, etc.)
Recycling
Regular Expression Syntax in R
Regular Expressions (regex)
Reproducible R
Reshape using tidyr
Reshaping data between long and wide forms
RESTful R Services
RMarkdown and knitr presentation
RODBC
roxygen2
Run-length encoding
Scope of variables
Set operations
Shiny
Solving ODEs in R
Spark API (SparkR)
spatial analysis
Speeding up tough-to-vectorize code
Split function
sqldf
Standardize analyses by writing standalone R scripts
String manipulation with stringi package
strsplit function
Subsetting
Survival analysis
Text mining
The character class
The Date class
The logical class
tidyverse
Time Series and Forecasting
Updating R and the package library
Updating R version
Using pipe assignment in your own package %<>%: How to ?
Using texreg to export models in a paper-ready way
Variables
Web Crawling in R
Web scraping and parsing
Writing functions in R
xgboost
R Language
Getting started with R Language
*apply family of functions (functionals)
.Rprofile
Aggregating data frames
Analyze tweets with R
ANOVA
Arima Models
Arithmetic Operators
Bar Chart
Base Plotting
Bibliography in RMD
boxplot
caret
Classes
Cleaning data
Code profiling
Coercion
Color schemes for graphics
Column wise operation
Combinatorics
Control flow structures
Creating packages with devtools
Creating reports with RMarkdown
Creating vectors
Data acquisition
Data frames
data.table
Date and Time
Date-time classes (POSIXct and POSIXlt)
Debugging
Distribution Functions
dplyr
Expression: parse + eval
Extracting and Listing Files in Compressed Archives
Factors
Fault-tolerant/resilient code
Feature Selection in R -- Removing Extraneous Features
Formula
Fourier Series and Transformations
Functional programming
Generalized linear models
Get user input
ggplot2
GPU-accelerated computing
Hashmaps
heatmap and heatmap.2
Hierarchical clustering with hclust
Hierarchical Linear Modeling
I/O for database tables
I/O for foreign tables (Excel, SAS, SPSS, Stata)
I/O for geographic data (shapefiles, etc.)
I/O for raster images
I/O for R's binary format
Implement State Machine Pattern using S4 Class
Input and output
Inspecting packages
Installing packages
Introduction to Geographical Maps
Introspection
JSON
Linear Models (Regression)
Lists
lubridate
Machine learning
Matrices
Meta: Documentation Guidelines
Missing values
Modifying strings by substitution
Natural language processing
Network analysis with the igraph package
Non-standard evaluation and standard evaluation
Numeric classes and storage modes
Object-Oriented Programming in R
Parallel processing
Pattern Matching and Replacement
Performing a Permutation Test
Pipe operators (%>% and others)
Pivot and unpivot with data.table
Probability Distributions with R
Publishing
R code vectorization best practices
R in LaTeX with knitr
R Markdown Notebooks (from RStudio)
R memento by examples
Random Forest Algorithm
Random Numbers Generator
Randomization
Raster and Image Analysis
Rcpp
Reading and writing strings
Reading and writing tabular data in plain-text files (CSV, TSV, etc.)
Recycling
Regular Expression Syntax in R
Regular Expressions (regex)
Reproducible R
Reshape using tidyr
Reshaping data between long and wide forms
RESTful R Services
RMarkdown and knitr presentation
RODBC
roxygen2
Run-length encoding
Scope of variables
Set operations
Shiny
Solving ODEs in R
Spark API (SparkR)
spatial analysis
Speeding up tough-to-vectorize code
Split function
sqldf
Standardize analyses by writing standalone R scripts
String manipulation with stringi package
strsplit function
Subsetting
Survival analysis
Text mining
The character class
The Date class
The logical class
tidyverse
Time Series and Forecasting
Updating R and the package library
Updating R version
Using pipe assignment in your own package %<>%: How to ?
Using texreg to export models in a paper-ready way
Variables
Web Crawling in R
Web scraping and parsing
Writing functions in R
xgboost
R Language - Awesome Book
2021
A First Course in Statistical Programming with R
A First Course in Statistical Programming with R
A Primer in Biological Data Analysis and Visualization Using R
Advancing into Analytics: From Excel to Python and R
Advancing into Analytics: From Excel to Python and R
Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
Introduction to R Programming (101 Non-Fiction Series Book 9)
Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R
Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R
Python and R for the Modern Data Scientist: The Best of Both Worlds
Python and R for the Modern Data Scientist: The Best of Both Worlds
2020
Effective C: An Introduction to Professional C Programming
Practical Machine Learning in R
2019
R Programming
2018
Learn R Programming in 1 Day: Complete Guide for Beginners
Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R (Addison-Wesley Data & Analytics Series)
R For Everyone: Advanced Analytics And Graphics, 2/E
R: In 8 Hours, For Beginners, Learn Coding Fast! R Programming Language, R Crash Course, R QuickStart Guide, and R Tutorial Book by the R Program Example, In Easy Steps! An Ultimate Beginner's Guide!
2017
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
R for Everyone: Advanced Analytics and Graphics (2nd Edition) (Addison-Wesley Data & Analytics Series)
Statistical Analysis with R For Dummies (For Dummies (Computers))
Text Mining with R: A Tidy Approach
2016
A First Course in Statistical Programming with R
Big Data Analytics with R: Leverage R Programming to uncover hidden patterns in your Big Data
Data Wrangling with R (Use R!)
Learning R Programming
R for Excel Users: An Introduction to R for Excel Analysts
The Book of R: A First Course in Programming and Statistics
2015
Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition
R For Dummies
R High Performance Programming
R in Action: Data Analysis and Graphics with R
2014
A Handbook of Statistical Analyses using R, Third Edition
Advanced R (Chapman & Hall/CRC The R Series)
Hands-On Programming with R: Write Your Own Functions and Simulations
Introduction to Scientific Programming and Simulation Using R (Chapman & Hall/CRC The R Series)
Introduction to Scientific Programming and Simulation Using R (Chapman & Hall/CRC The R Series)
Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)
Practical Data Science with R
2013
Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R
Learn R in a Day
Learning R: A Step-by-Step Function Guide to Data Analysis
2012
Discovering Statistics Using R
The R Book
2011
Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)
The Art of R Programming: A Tour of Statistical Software Design
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