BabeLua archive.codeplex.com

lunix 25thandclement.com

cqueues 25thandclement.com

Ben Stenhaug youtube.com

Topics include saving and reading data, map functions in purrr, t-tests, item response theory, and the basics of R and the tidyverse.

Cédric Scherer youtube.com

A collection of talks and seminars about R-related topics such as ggplot2 or Shiny, and data visualization in general.

StatQuest with Josh Starmer youtube.com

The Statistics and Machine Learning in R playlist deals with principal component analysis, random forest, regression, ROC and AUC, and ridge, lasso and elastic-net.

RichardOnData youtube.com

The R playlist includes videos on manipulating data with dplyr, visualizing data with ggplot2 and ggThemeAssist, data types and structures, important base r functions, handling datetimes with lubridate, conquering factors with forcats, manipulating text with stringr.

Simplilearn youtube.com

The R Programming for Beginners playlist includes videos on data science, charting, data visualization, algorithms, business analytics, regression, random forest, SVM, clustering, time series, modeling, and analytical techniques.

IDG TECHtalk youtube.com

Do More with R playlist includes tutorials on shiny, data.table, getting API data, using Git and Github with R, writing your own packages, run Python in R code, RStudio addins and keyboard shortcuts, dashboards and flexdashboards.

David Jablonski youtube.com

The UC Berkeley R Bootcamp playlists include videos on R basics, handling data, performing calculations, programming, graphics, workflows, and statistics.

Statistics Globe youtube.com

A collection of short but detailed tutorials on how to work through common problems you will face while using R. Topics include data formatting, reordering data, strings, and ggplot2.

Andrew Couch youtube.com

Topics include modeling, creating functions, dashboards, and forecasting.

Data Analysis and Visualization Using R youtube.com

Topics for the online course Data Analysis and Visualization Using R.

David Robinson youtube.com

Topics include graphing for EDA, data manipulation, animated mapping, visualization, text mining, time series, forecasting, regression, bootstrapping, package development, network graphs, ANOVA, JSON, simulation, survival analysis, and tidymetrics. Click here for detailed…

Data Science with Tom youtube.com

Topics include time series, analyzing word relationships with ggraph and tidytext, and tidymodels.

Julia Silge youtube.com

Topics include predictive text modeling, impute missing data, tidymodels, sentiment analysis, multinomial classification, principal component analysis, data preprocessing and resampling, and multinomial classification.

TidyX youtube.com

TidyX is a screen cast where the hosts select code from the TidyTuesday project and go through their code line-by-line, explaining what they did and how the functions they used work. They also break down the visualizations they create and talk about how to apply similar…

Richard Webster youtube.com

Topics include the paste function, the apply family of functions, while and for loops, conditional statements, visualization, removing NAs, and combining data.

Lander Analytics youtube.com

In-depth talks by different experts on a wide variety of topics.

Colin Quirk youtube.com

Topics include regular expressions, data types, Shiny, and gganimate.

MarinStatsLectures youtube.com

Topics include descriptive statistics, ANOVA, bootstrapping, linear regression, bivariate analysis, and probability distributions.

Numyard youtube.com

Topics include working with dataframes, for loops, basic math, vectors, lists, creating functions, data types, and random sampling.

StatistikinDD youtube.com

Playlists on Efficient R Programming (e. g. running R code in parallel), Visualization, Regression Analyses.

Shiny Developer Series youtube.com

The goals of the Shiny Developer Series are to showcase the innovative applications and packages in the ever-growing Shiny ecosystem, as well as the brilliant developers behind them!

R Programming 101 youtube.com

This channel provides teaching videos on data analysis and statistical analysis using R programming. The teaching videos include subjects like data cleaning, data manipulation, data visualization, statistical analysis, and machine learning and AI (artificial intelligence).

Dragonfly Statistics youtube.com

Topics include numerical computing, generating random walks, markov chains, encoding categorical variables, probability, correlation plots, feature engineering, time series, binary classifiers, models, data.table, confusion matrices, machine learning, geocoding, summary…

Dean Attali youtube.com

Shiny, including several videos on debugging Shiny.

12 Months of aRt williamrchase.com

In 2019, William Chase began a project to make a new series of artwork every month made entirely with R. In this project, he explored different techniques, developed algorithms, and provided detailed posts detailing the development process for each month.

The Book of R web.itu.edu.tr

The aim of The Book of R: A First Course in Programming and Statistics is to provide a relatively gentle yet informative exposure to the statistical software environment R, alongside some common statistical analyses, so that readers may have a solid foundation from which to…

How to Start with Shiny vimeo.com

Detailed introductory video tutorial. Author: Garrett Grolemund.

Tutorials Point tutorialspoint.com

The tutorials are grouped into categories (R tutorial, R Data Interfaces, R Charts & Graphs, R Statistics Examples, R Useful Resources) that cover in-depth all the basic needs for someone starting learning the R programming language.

Tony ElHabr tonyelhabr.rbind.io

Tony ElHabr is passionate mostly about energy markets and sports analytics. His blog provides detailed tutorials, project explanations, and presentations.

Tidy Modeling with R tmwr.org

This book is a guide to using a new collection of software in the R programming language for model building.

Fakir - Create Fake Data in R for Tutorials thinkr-open.github.io

Author: Colin Fay.

Syntax equivalents: base R vs Tidyverse tavareshugo.github.io

A detailed comparison of base R and tidyverse. Author: Hugo Tavares.

Data Wrangling Part 4: Summarizing and slicing your data suzan.rbind.io

Author: Suzan Baert.

Data Wrangling Part 3: Basic and more advanced ways to filter rows suzan.rbind.io

Author: Suzan Baert.

Data Wrangling Part 2: Transforming your columns into the right shape suzan.rbind.io

Author: Suzan Baert.

Data Wrangling Part 1: Basic to Advanced Ways to Select Columns suzan.rbind.io

Author: Suzan Baert.

From base R to stringr stringr.tidyverse.org

This vignette compares stringr functions to their base R equivalents to help users transitioning from using base R to stringr. Author: Sara Stoudt.

Graphics in R with ggplot2 statsandr.com

A detailed guide for the use of graphics within ggplot2. Author: Antoine Soetewey.

Descriptive statistics in R statsandr.com

This article explains how to compute the main descriptive statistics in R and how to present them graphically. Author - Antoine Soetewey.

Stats and R statsandr.com

Through his blog, Antoine Soetewey (PhD in statistics) aims at helping academics and professionals working with data to grasp important statistical concepts, and shows how to apply them in R.

Statistics Globe statisticsglobe.com

Joachim Schork started this platform to share his statistical know-how and to improve his own statistical skills by discussing with other statisticians and programmers.

The R Language stat.ethz.ch

An introduction to R written by the authors of the R language.

stat.berkeley - Introduction to Functions stat.berkeley.edu

An introduction to functions in the R language by the organizers of Integrating Computing into the Statistics Curricula (U.C. Berkeley).

Supervised Machine Learning for Text Analysis in R smltar.com

This book focuses on supervised or predictive modeling for text, using text data to make predictions about the world around us. Authors: Emil Hvitfeldt and Julia Silge.

Learn Shiny shiny.rstudio.com

The video and written tutorials on this page are primarily designed for users who are new to Shiny and want a guided introduction. Author: RStudio.

Shiny Articles shiny.rstudio.com

Various articles covering individual Shiny topics at a more advanced level. Author: RStudio.

Ryo Nakagawara ryo-n7.github.io

Ryo Nakagawara is a Data Scientist and has been doing work as both a reporting analyst and a software developer in R and SQL to improve ACDI and VOCA data pipelines, create R packages, reproducible reports, dashboards, and Shiny apps to communicate how his projects worldwide…