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tidyverse
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Using pipe assignment in your own package %<>%: How to ?
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Variables
Web Crawling in R
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Writing functions in R
xgboost
R Language
Getting started with R Language
Awesome Book
Awesome Community
Awesome Course
Awesome Tutorial
Awesome YouTube
*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 Course
Lynda
2019
R for Data Science: Lunchbreak Lessons
2018
Cleaning Bad Data in R
Data Visualization in R with ggplot2
R Programming in Data Science: High Variety Data
R Programming in Data Science: High Velocity Data
R programming in Data Science: High Volume Data
R Programming in Data Science: Setup and Start
2017
Business Analytics: Data Reduction Techniques Using Excel and R
Data Wrangling in R
Healthcare Analytics: Regression in R
Integrating Tableau and R for Data Science
Learning the R Tidyverse
Social Network Analysis Using R
2016
R for Excel Users
2015
Code Clinic: R (2015)
2013
Learning R
R statistics Essential Training
pluralsight
2018
Getting Started with R in the Microsoft Data Platform
2017
Data Management and Preparation Using R
2016
Beginning Data Visualization with R
Data Science with R
Mastering Data Visualization with R
Multivariate Data Visualization with R
2015
Exploratory Data Analysis with R
RStudio:Get Started
2014
R Programming Fundamentals
Udemy
2019
Data Science Masterclass With R! 4 Projects+8 Case Studies
R Programming for Statistics and Data Science
Statistics for Data Analysis Using R
2018
Applied Machine Learning With R
Basics of R Programming Language for Buddies
Basics of R Programming Language for Buddies
Beginners R Programming: Data Science and Machine Learning!
Data Science and Analytics in R Programming
Data Science and Machine Learning Bootcamp with R
Data Science with R - Beginners
Machine Learning and Data Science Hands-on with Python and R
Machine Learning A-Z™: Hands-On Python & R In Data Science
R Basics - R Programming Language Introduction
R Programming A-Z™: R For Data Science With Real Exercises!
R Programming from Scratch for Data Science- Step by Step
R Programming: Advanced Analytics In R For Data Science
R programming: Practical and Concise
R Programming:For Data Science With Real Exercises
2017
Introduction to R Programming
Learn R By Intensive Practice
Learning Path: R: Reward-Based Learning with R
Practical Foundations of R Programming
Programming With R. Learn How To Program In R - Beginners
R Programming For Absolute Beginners
R Programming for Simulation and Monte Carlo Methods
R programming from Scratch & Practice Case Studies workout
R Programming Hands-on Specialization for Data Science (Lv1)
2016
Graphs in R - Data Visualization with R Programming Language
Introduction to R Programming - Must See Introduction to R
Programming Statistical Applications in R
Statistics with R - Advanced Level
Statistics with R - Beginner Level
Statistics with R - Intermediate Level
The Comprehensive Programming in R Course
2014
Introduction to R
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