Bibliografía de R
Recursos de R en un formato no académico
Un listado curado de recursos de R, también una prueba para ver cómo se ven tablas Orgmode. Cada vez que quieres aprender de algo salen unos pocos, decenas o miles de recursos, cursos, guías, ejemplos para atormentar tu escaso tiempo. En este listado están algunas de las piezas que considero indispensables. Hay muchas más pero creo que estas merecen la pena y si no ya me lo decís y se cambian ;-).
Título | Autoría | URL | TAGS |
---|---|---|---|
21 Recipes for Mining Twitter with rtweet | Bob Rudis | https://rud.is/books/21-recipes/ | :twitter: |
A complete tutorial to learn data science in R from scratch | Analytics Vidhya | https://www.analyticsvidhya.com/blog/2016/02/complete-tutorial-learn-data-science-scratch/ | :tutorial: |
A Gentle Introduction to Tidy Statistics in R | Thomas Mock | https://rstudio.com/resources/webinars/a-gentle-introduction-to-tidy-statistics-in-r/ | :webinar: |
Cross tabulation with Xtabs exercises | John Akwei | https://www.r-bloggers.com/cross-tabulation-with-xtabs-exercises/ | :xtabs: |
Data science with R: A robust toolkit for psychological research | Danielle Navarro | http://robust-tools.djnavarro.net/ | :course: |
Datanalytics | Carlos Gil Bellosta | https://www.datanalytics.com/ | :blog: |
Econometría en R | Nerys Ramírez | https://betaeconomia.blogspot.com/2018/04/econometria-con-aplicaciones-en-r.html | :econometria: |
Notas sobre economía, programas estadísticos y econometría | Nerys Ramírez | https://betaeconomia.blogspot.com/ | :blog:econometría: |
Getting used to R, RStudio, and R Markdown | Chester Ismay | https://bookdown.org/chesterismay/rbasics/ | :intro: |
ggplot2: Elegant Graphics for Data Analysis | Hadley Wickham | https://ggplot2-book.org/ | :ggplot2: |
Hands-On Machine Learning with R | Bradley Boehmke & Brandon Greenwell | https://bradleyboehmke.github.io/HOML/ | 📖ml: |
R para profesionales de los datos: una introducción | Carlos J. Gil Bellosta | https://www.datanalytics.com/libro%5Fr/ | :intro:course: |
Statistical Interference via Data Science | Chester Ismay and Albert Y. Kim | https://moderndive.com | 📖tidyverse: |
Principles & Practice of Data Visualization | Alison Hill y Desirée De Leon | https://share-blogdown.netlify.app/ | :course:datavis: |
R for Data Science | Garrett Grolemund & Hadley Wickham | https://r4ds.had.co.nz/ | :datascience:book: |
R Graphics Cookbook | Winston Chang | https://r-graphics.org/ | 📖graphs: |
Social Network Analysis Labs in R and SoNIA | McFarland, Daniel, Solomon Messing, Michael Nowak, and Sean J. Westwood. | http://sna.stanford.edu/rlabs.php | :networkanalysis:course:env: |
RStudio Education | RStudio | https://education.rstudio.com/ | :course: |
RYouWithMe | Lisa Williams | https://rladiessydney.org/courses/ryouwithme/ | 🎨datavisualisation: |
Text mining with R | Julia Silge and David Robinson | https://www.tidytextmining.com/ | 📖textmining:course: |
The R Graph Gallery | Yan Holtz | https://www.r-graph-gallery.com/ | :recap:datavis: |
Top 100 R Tutorials: step by step guide | Deepanshu Bhalla | https://www.listendata.com/p/r-programming-tutorials.html | :course:links:guide: |
Why data journalists should start using R in 2016 | Timo Grossenbacher | https://timogrossenbacher.ch/2015/12/why-data-journalists-should-start-using-r-in-2016/ | :periodismodatos: |