Last Update : 25-July/2020
- Listas de cursos https://www.learnr4free.com/en/index.html
- CRAN Contributed Documentation https://cran.r-project.org/
- What they forgot to teach you about R Jenny Bryan https://rstats.wtf/
- R Programming for Data Science Roger D. Peng 2016-12-22 http://bit.ly/2AbQRhd
- R for Data Science Garrett Grolemund & Hadley Wickham http://bit.ly/2AaFWEw
- Efficient R programming Colin Gillespie & Robin Lovelace http://bit.ly/2AaGKcw
- Hands-On Programming with R Garrett Grolemund http://bit.ly/2QYJRJZ
- Advanced R Hadley Wickham http://bit.ly/2AapVhT
- Wikibook R Programming https://en.wikibooks.org/wiki/R_Programming
- Learning statistics with R: A tutorial for psychology students and other beginners Danielle Navarro http://bit.ly/2DaYoig
- The Tidynomicon A Brief Introduction to R for Python Programmers Greg Wilson http://bit.ly/2IEh4t8
- Rad R for academics http://bit.ly/2UufM8b
- El arte de programar en R Julio Sergio Santana & Efraín Mateos Farfán http://bit.ly/2N2Y1Y8
- R para Principiantes Juan Bosco Mendoza Vega http://bit.ly/2Zg0I3M
Rstudio webinars
- Tidy evaluation is one of the major feature of the latest versions of dplyr and tidyr [Video] http://bit.ly/2AbXJLs
- Tidy eval: Programming with dplyr, tidyr, and ggplot2 Hadley Wickham [Video] http://bit.ly/2QR07N5
- Data wrangling with R and RStudio [Video] http://bit.ly/2AaocZX slides: http://bit.ly/2QSr7vS
- Wrangling data in the Tidyverse [Video] (useR! 2018 Conf) [Part 1] http://bit.ly/2SEHDBc [Part 2] http://bit.ly/2SK9EHt
- dplyr tutorials Suzan Baert http://bit.ly/2AbSHi2
- Getting more out of dplyr SatRday Amsterdam 2018 slides Suzan Baert http://bit.ly/2QXf28I
- dplyr 10 tips and tricks Suzan Baert (RoCur WeAreRLadies) http://bit.ly/2AaWb4k
- STAT 545 Course https://stat545.com/tidy-data.html
- Let the Data Flow: Pipelines in R with dplyr and magrittr http://bit.ly/2AaVDvz
- Data Processing with dplyr & tidyr (Rpubs) http://bit.ly/2Aah7Zd
- Introducción a tidyr: Datos ordenados en R (Rpubs) [español] http://bit.ly/2AaWV9T
- dplyr Rstudio cheatsheet http://bit.ly/2IEwRcM
- tidylog Tidylog provides feedback about basic dplyr operations http://bit.ly/2MJJUvq
- Vignettes for Joins - http://bit.ly/2Zhdsaj
- Join Functions Jenny Bryan http://bit.ly/2AbUZ0C
- Joining Data in R with dplyr (Rpubs) http://bit.ly/2ZjTwnm
- Gif for differrent types of Joins http://bit.ly/2ZixS2L
- Intro to data.table Package http://bit.ly/2Aa6Yf3
- Wrangling with data.table http://bit.ly/2QQfLIy
- R studio cheatsheet (data.table) http://bit.ly/2IEwRcM
- Data crunching with data.table (Rpubs) http://bit.ly/2AbNCGz
- Best packages for data manipulation in R (dplyr & data.table) http://bit.ly/2AenZox
- A data.table and dplyr tour http://bit.ly/2IDlIYd
- String Manipulation in R with stringr (Rpubs) http://bit.ly/2SzLyiR
- Regular Expression in R Gloria Li and Jenny Bryan http://bit.ly/2SD74Dg
- R Graph Gallery http://bit.ly/2UmD3ZN
- DataCarpentry resources: http://bit.ly/2Aaiwz2
- Visualización estática e interactiva con ggplot2 y plotly [español] http://bit.ly/2xI2dqH
- Data Visualization in R http://bit.ly/2AaKzy9
- R graphics with ggplot2 workshop notes http://bit.ly/2AavgG4
- Data visualization using ggplot2 http://bit.ly/2Aal7ZT
- ggplot2 package by Hadley Wickham (Rpubs) http://bit.ly/2AaaeqN
- 7 Visualizations You Should Learn in R http://bit.ly/2NwhCBf
- How to make fancy graphs with ggplot2 (Medium post) http://bit.ly/2PTV51W
- Designing ggplots making clear figures that communicate bit.ly/ggplots
- Drawing anything with ggplot2 https://github.com/thomasp85/ggplot2_workshop
- Data Visualization A practical introduction Kieran Healy http://bit.ly/2AaF9n2
- Data Visualization with R. Rob Kabacoff http://bit.ly/2A9pLaj
- ggplot2: Elegant Graphics for Data Analysis Hadley Wickham https://ggplot2-book.org/
- CS 448B Visualization. Stanford CS course on data visualization techniques (Fall 2018) http://bit.ly/2IDzfyW
- Broom vignette http://bit.ly/2M42z5y
- Convenient analysis with broom - Alex Hayes - http://bit.ly/2ZdV7e4
- broom: a package for tidying statistical models into data frames http://bit.ly/2Wi0FBZ
- A gentle introduction to tidymodels http://bit.ly/2G176QI
- Tutorial on tidymodels for Machine Learning https://bit.ly/37iyQwC
- Auto Machine Learning with H2o.ai #LatinR2019 Erin Ledell http://bit.ly/35nDEQ7
- Youtube Channel http://bit.ly/2ogLiep
- Hands-on Machine Learning with R http://bit.ly/2IBxTEM
- Feature Engineering and Selection: A Practical Approach for Predictive Models http://bit.ly/2IEf2Jw
- Rstudio Resources http://bit.ly/2QOovPq
- Introduction to Shiny [video] http://bit.ly/2Aat9BQ
- Testing Shiny applications with Shinytest - Shiny developers now have tools for automated testing of complete applications [video] http://bit.ly/2AauJUq
- Understanding PCA using Shiny and Stack Overflow data Julia Silge [video] http://bit.ly/2QLmG5K
- Developing and deploying large scale Shiny applications Herman Sontrop [video] http://bit.ly/2QT8rMx
- Understanding Shiny Modules [video] http://bit.ly/2AaTuzS
- Interactive Graphics with Shiny [video] http://bit.ly/2Aau45h
- Interactive web-based data visualization with R, plotly, and shiny https://plotly-r.com/
- Javascript for Shiny Users https://github.com/rstudio-conf-2020/js-for-shiny
- Interactive web applications with Shiny - meetup material https://bit.ly/2B0Eacq
- Production-grade Shiny Apps with golem - rstudio::conf2019 talk https://bit.ly/30G685J
- Building Big Shiny Apps — A Workflow – 1/2 2/2
- Building a Shiny App as a Package https://bit.ly/30EgTpb
- Testing shiny Apss https://speakerdeck.com/colinfay/erum-2020-testing-shiny-why-what-and-how
- A gRadual introduction to Shiny. https://laderast.github.io/gradual_shiny/index.html
- Mastering Shiny Hadley Wickham http://bit.ly/2z89f9l
- Interactive web-based data visualization with R, plotly, and shiny http://bit.ly/2IBuR3m
- Engineering Production-Grade Shiny Apps https://engineering-shiny.org/
- R Markdown Gallery http://bit.ly/2QPHxoI
- R Markdown articles http://bit.ly/2A9LfEe
- R Markdown Rstudio lessons http://bit.ly/2A9Ln6G
- R Markdown and knitr make it easy to intermingle code and text to generate compelling reports and presentations that are never out of date. [video] http://bit.ly/2A9MH9E
- Beyond static reports with R Markdown [video] http://bit.ly/2Ac2jtd
- Introducing Notebooks with R Markdown [video] http://bit.ly/2AaYPXH
- RMarkdown Tips and Tricks - An Introduction to RMarkdown http://bit.ly/2P1NjaA
- RMarkdwon Workshop http://bit.ly/2P3kYkt
- Reproducible Reporting http://bit.ly/2A9MH9E
- 15 Tips on Making Better Use of R Markdown Yihui Xie https://slides.yihui.org/2019-dahshu-rmarkdown#1
- R Markdown: The Definitive Guide Yihui Xie, J. J. Allaire, Garrett Grolemund http://bit.ly/2QNTISX
- Introduction to RMarkdown http://bit.ly/2P59GMo
- RMarkdown for Scientists http://bit.ly/2T2Uca8
- Introducing bookdown [video] http://bit.ly/2AbArpc
- Introducing blogdown, a new R package to make blogs and websites with R Markdown [video] http://bit.ly/2AamVSt
- A week of blogdown for RStudio's summer 2019 interns Alison Hill https://summer-of-blogdown.netlify.com/
- bookdown: Authoring Books and Technical Documents with R Markdown Yihui Xie http://bit.ly/2QLTZWq
- blogdown: Creating Websites with R Markdown Yihui Xie, Amber Thomas, Alison Presmanes Hill http://bit.ly/2QPjCpm
- R Best Practices: R you writing the R way! http://bit.ly/2P2TkE3
- R Code – Best practices http://bit.ly/2P13Mfq
- Best Practices for Writing R Code [The Carpentries] http://bit.ly/2P3485h
- Write your first R Package (STAT 545 Course) Jenny Bryan http://bit.ly/2OjiBs2
- You can make a package in 20 minutes Jim Hester [Video] http://bit.ly/2QR3K5D
- What makes a great R package? Joseph Rickert [Video] http://bit.ly/2QLS9Vw
- How to develop good R packages (for open science) Maëlle Salmon http://bit.ly/2QTXgmP
- Writing an R package from scratch (Not so Standard deviations blogpost) Hilary Parker http://bit.ly/2QOlONO
- R Package Development Pictorial http://bit.ly/2QP5tbW
- Developing Packages with RStudio http://bit.ly/2QOav8v
- Writing an R package from scratch http://bit.ly/2QTWZAj
- Reproducible Research: Writing an R Package. http://bit.ly/2AarXi0
- Advanced R Course (Chapter 6: R Packages) Florian Privé http://bit.ly/2QT53kN
- rOpenSci Packages: Development, Maintenance, and Peer Review http://bit.ly/2P3k7QN
- R Package Development Tutorial #LatinR2019 Hadley Wickham https://github.com/hadley/pkg-dev
- Make an R Package - the easy way - Matt Dray http://bit.ly/2PCEhQh
- Usethis package development workflow http://bit.ly/2pzuoIg
- R Packages Hadley Wickham http://r-pkgs.had.co.nz/
- Happy R Users Purrr – Tutorial Charlotte Wickham [Video] http://bit.ly/2AakkIv
- Purrr tutorial - Charlotte Wickham http://bit.ly/2AaDCNO
- Purrr tutorial - Jenny Bryan http://bit.ly/2QSVoLC
- Package CRAN Documentation http://bit.ly/2zbuSFz
- Purrr as part of the tidyverse http://bit.ly/2z6gFcO
- The joy of Functional Programming Hadley Wickham http://bit.ly/2IC2qCk
- Purrr - tips and tricks https://bit.ly/2AWODF6
- Two examples of iteration with purrr - Class for the R-Studio certification https://bit.ly/3dzWKoK
- Jenny Bryan's STAT 545 Course http://bit.ly/2QGCtnc
- Jenny Bryan's Talk in RLadies Bs As Writing R functions for fun and profit http://bit.ly/2xMqhsu
- Spatial Data Analysis and Modeling with R http://rspatial.org/
- Spatial modelling using ‘raster’ package (useR! Conf 2018) - [Part 1] http://bit.ly/2SJ9PTB [Part 2] http://bit.ly/2SIJgOr
- Spatial Data Science Edzer Pebesma, Roger Bivand https://keen-swartz-3146c4.netlify.com/
- Best Practices for Scientific Computing Greg Wilson … Paul Wilson | PLoS Biology 2014 http://bit.ly/2SHZqrs
- Good enough practices in scientific computing Greg Wilson ... Tracy Teal| PlOS Computational Biology 2017 http://bit.ly/2zhSSXW
- Reproducibility in Science - ROpenSci - http://bit.ly/2P18DgA
- The drake R Package User Manual http://bit.ly/2P4n9nK
- rrtools: Tools for Writing Reproducible Research in R - http://bit.ly/2zhMekA
- Use of an R package to facilitate reproducible research - http://bit.ly/2zhP8G0
- Tidy evaluation Lionel Henry & Hadley Wickham http://bit.ly/2P5oRFy
- Lazy evaluation Jenny Bryan [video Rstudio conf 2019] http://bit.ly/2P82pvn [material] http://bit.ly/2PgphbY
- The coding club http://bit.ly/2SJzTy7
- The R class R programming for biologists http://bit.ly/2SD71HA
- R for NFL analysis http://bit.ly/2ICmqoo
- Tidy Data Science Workshop (Jun-2019) http://bit.ly/2ID1mhV
- RaukR-2019 http://rstd.io/raukr
- UC Business Analytics R Programming Guide http://uc-r.github.io/
- STAT 545A/547M: Exploratory Data Analysis - Jenny Bryan - http://bit.ly/31fsz0t
- Data Science in a Box - Mine Çetinkaya-Rundel - http://bit.ly/2PcydPU
- R for learning and teaching R List of resources http://bit.ly/2PaIqwc
- BIMS8382 Spring 2018 https://bims8382.github.io/2018/
- Course materials for Applied Machine Learning course in 2019 in London https://github.com/topepo/aml-london-2019