{"id":303,"date":"2019-01-27T11:42:28","date_gmt":"2019-01-27T11:42:28","guid":{"rendered":"http:\/\/inphronesys.com\/?page_id=303"},"modified":"2026-03-01T15:15:51","modified_gmt":"2026-03-01T15:15:51","slug":"great-links","status":"publish","type":"page","link":"https:\/\/inphronesys.com\/?page_id=303","title":{"rendered":"Great Links"},"content":{"rendered":"<p><em>A curated collection of the best free R programming resources \u2014 selected for supply chain professionals, data analysts, and anyone who wants to turn data into better decisions.<\/em><\/p>\n<p><em>Last updated: March 2026<\/em><\/p>\n<h2>R Basics &amp; Learning R<\/h2>\n<ul>\n<li><a href=\"https:\/\/r4ds.hadley.nz\/\" target=\"_blank\" rel=\"noopener\">R for Data Science (2nd Edition)<\/a> \u2014 Hadley Wickham, Mine \u00c7etinkaya-Rundel, Garrett Grolemund. The essential introduction to modern R and the tidyverse: importing, tidying, transforming, visualizing, and modeling data.<\/li>\n<li><a href=\"https:\/\/adv-r.hadley.nz\/\" target=\"_blank\" rel=\"noopener\">Advanced R (2nd Edition)<\/a> \u2014 Hadley Wickham. Deep dive into R internals: environments, functional programming, metaprogramming, performance, and OOP systems.<\/li>\n<li><a href=\"https:\/\/rstudio-education.github.io\/hopr\/\" target=\"_blank\" rel=\"noopener\">Hands-On Programming with R<\/a> \u2014 Garrett Grolemund. Beginner-friendly introduction through hands-on projects covering functions, data structures, and simulation.<\/li>\n<li><a href=\"https:\/\/rc2e.com\/\" target=\"_blank\" rel=\"noopener\">R Cookbook (2nd Edition)<\/a> \u2014 JD Long, Paul Teetor. Over 275 practical recipes for data analysis, statistics, and graphics.<\/li>\n<li><a href=\"https:\/\/r-pkgs.org\/\" target=\"_blank\" rel=\"noopener\">R Packages (2nd Edition)<\/a> \u2014 Hadley Wickham, Jennifer Bryan. The definitive guide to creating, testing, documenting, and sharing R packages.<\/li>\n<li><a href=\"https:\/\/www.bigbookofr.com\/\" target=\"_blank\" rel=\"noopener\">Big Book of R<\/a> \u2014 Oscar Baruffa (curator). A directory of 400+ free R books organized by topic \u2014 the master index of free R resources.<\/li>\n<\/ul>\n<h2>Data Visualization &amp; ggplot2<\/h2>\n<ul>\n<li><a href=\"https:\/\/ggplot2-book.org\/\" target=\"_blank\" rel=\"noopener\">ggplot2: Elegant Graphics for Data Analysis (3rd Edition)<\/a> \u2014 Hadley Wickham, Danielle Navarro, Thomas Lin Pedersen. The authoritative reference on the grammar of graphics in R.<\/li>\n<li><a href=\"https:\/\/r-graphics.org\/\" target=\"_blank\" rel=\"noopener\">R Graphics Cookbook (2nd Edition)<\/a> \u2014 Winston Chang. 150+ practical recipes for creating publication-quality graphs with ggplot2.<\/li>\n<\/ul>\n<h2>Data Wrangling &amp; Tidyverse<\/h2>\n<ul>\n<li><a href=\"https:\/\/r4ds.hadley.nz\/transform\" target=\"_blank\" rel=\"noopener\">R for Data Science \u2014 Transform Section<\/a> \u2014 The best starting point for dplyr, tidyr, readr, stringr, and the pipe operator.<\/li>\n<li><a href=\"https:\/\/jhudatascience.org\/tidyversecourse\/\" target=\"_blank\" rel=\"noopener\">Tidyverse Skills for Data Science<\/a> \u2014 Carrie Wright, Shannon Ellis, Stephanie Hicks, Roger Peng. Johns Hopkins course covering the tidyverse end-to-end.<\/li>\n<li><a href=\"https:\/\/www.tidyverse.org\/learn\/\" target=\"_blank\" rel=\"noopener\">Learn the Tidyverse<\/a> \u2014 Official curated resources from the tidyverse maintainers: books, cheatsheets, and tutorials for each package.<\/li>\n<li><a href=\"https:\/\/bookdown.org\/yihui\/rmarkdown\/\" target=\"_blank\" rel=\"noopener\">R Markdown: The Definitive Guide<\/a> \u2014 Yihui Xie, J.J. Allaire, Garrett Grolemund. The authoritative reference for reproducible reports and documents.<\/li>\n<\/ul>\n<h2>Interactive Dashboards<\/h2>\n<ul>\n<li><a href=\"https:\/\/mastering-shiny.org\/\" target=\"_blank\" rel=\"noopener\">Mastering Shiny<\/a> \u2014 Hadley Wickham. Comprehensive guide to building interactive web apps with Shiny: reactive programming, modules, testing, and deployment.<\/li>\n<li><a href=\"https:\/\/plotly-r.com\/\" target=\"_blank\" rel=\"noopener\">Interactive Web-Based Data Visualization with R, plotly, and Shiny<\/a> \u2014 Carson Sievert. The definitive book on plotly for R \u2014 interactive charts, maps, 3D plots, animations, and linked views.<\/li>\n<li><a href=\"https:\/\/www.htmlwidgets.org\/\" target=\"_blank\" rel=\"noopener\">htmlwidgets for R<\/a> \u2014 Framework and gallery for 50+ interactive widget packages (Leaflet, DT, dygraphs, networkD3, etc.).<\/li>\n<li><a href=\"https:\/\/quarto.org\/docs\/dashboards\/\" target=\"_blank\" rel=\"noopener\">Quarto Dashboards<\/a> \u2014 Official guide for building dashboards in Quarto \u2014 the modern successor to flexdashboard.<\/li>\n<li><a href=\"https:\/\/shiny.posit.co\/\" target=\"_blank\" rel=\"noopener\">Shiny Official Site<\/a> \u2014 Official documentation, tutorials, gallery, and deployment guides for Shiny.<\/li>\n<li><a href=\"https:\/\/quarto.org\/docs\/guide\/\" target=\"_blank\" rel=\"noopener\">Quarto Guide<\/a> \u2014 Comprehensive documentation for Quarto, Posit&#8217;s next-generation publishing system (successor to R Markdown).<\/li>\n<\/ul>\n<h2>Forecasting &amp; Time Series<\/h2>\n<ul>\n<li><a href=\"https:\/\/otexts.com\/fpp3\/\" target=\"_blank\" rel=\"noopener\">Forecasting: Principles and Practice (3rd Edition)<\/a> \u2014 Rob J. Hyndman, George Athanasopoulos. The gold-standard textbook for time series forecasting \u2014 covers ETS, ARIMA, dynamic regression, and hierarchical forecasting using the tidyverts ecosystem.<\/li>\n<li><a href=\"https:\/\/a-little-book-of-r-for-time-series.readthedocs.io\/\" target=\"_blank\" rel=\"noopener\">A Little Book of R for Time Series<\/a> \u2014 Avril Coghlan. A concise, beginner-friendly introduction covering decomposition, exponential smoothing, and ARIMA basics.<\/li>\n<\/ul>\n<h2>Supply Chain Analytics with R<\/h2>\n<ul>\n<li><a href=\"https:\/\/cran.r-project.org\/package=planr\" target=\"_blank\" rel=\"noopener\">planr \u2014 Tools for Supply Chain Management<\/a> \u2014 R package for demand\/supply planning: projected inventories, coverages, and replenishment plans at any time bucket granularity.<\/li>\n<li><a href=\"https:\/\/cran.r-project.org\/web\/packages\/SCperf\/index.html\" target=\"_blank\" rel=\"noopener\">SCperf \u2014 Supply Chain Performance<\/a> \u2014 R package implementing inventory models (newsboy, reorder point, Wagner-Whitin) and bullwhip effect calculations.<\/li>\n<\/ul>\n<h2>Statistics &amp; Machine Learning<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.statlearning.com\/\" target=\"_blank\" rel=\"noopener\">An Introduction to Statistical Learning (2nd Edition)<\/a> \u2014 James, Witten, Hastie, Tibshirani. The most accessible introduction to statistical learning and ML \u2014 free PDF, all examples in R.<\/li>\n<li><a href=\"https:\/\/hastie.su.domains\/ElemStatLearn\/\" target=\"_blank\" rel=\"noopener\">The Elements of Statistical Learning (2nd Edition)<\/a> \u2014 Hastie, Tibshirani, Friedman. The advanced companion to ISLR \u2014 free PDF covering boosting, SVMs, neural networks, and random forests in depth.<\/li>\n<li><a href=\"https:\/\/www.tmwr.org\/\" target=\"_blank\" rel=\"noopener\">Tidy Modeling with R<\/a> \u2014 Max Kuhn, Julia Silge. Official guide to the tidymodels framework: preprocessing, model fitting, tuning, resampling, and evaluation.<\/li>\n<li><a href=\"https:\/\/modernstatisticswithr.com\/\" target=\"_blank\" rel=\"noopener\">Modern Statistics with R (2nd Edition)<\/a> \u2014 Mans Thulin. Comprehensive modern statistics textbook using R \u2014 from data wrangling to inference, regression, and prediction.<\/li>\n<li><a href=\"https:\/\/smltar.com\/\" target=\"_blank\" rel=\"noopener\">Supervised Machine Learning for Text Analysis in R<\/a> \u2014 Emil Hvitfeldt, Julia Silge. Guide to NLP with tidymodels \u2014 tokenization, embeddings, classification, and regression on text data.<\/li>\n<li><a href=\"https:\/\/www.tidytextmining.com\/\" target=\"_blank\" rel=\"noopener\">Text Mining with R: A Tidy Approach<\/a> \u2014 Julia Silge, David Robinson. Tidy text analysis: sentiment analysis, tf-idf, topic modeling, and more.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>A curated collection of the best free R programming resources \u2014 selected for supply chain professionals, data analysts, and anyone who wants to turn data into better decisions. Last updated: March 2026 R Basics &amp; Learning R R for Data Science (2nd Edition) \u2014 Hadley Wickham, Mine \u00c7etinkaya-Rundel, Garrett Grolemund. The essential introduction to modern [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-303","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/inphronesys.com\/index.php?rest_route=\/wp\/v2\/pages\/303","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/inphronesys.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/inphronesys.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/inphronesys.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/inphronesys.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=303"}],"version-history":[{"count":9,"href":"https:\/\/inphronesys.com\/index.php?rest_route=\/wp\/v2\/pages\/303\/revisions"}],"predecessor-version":[{"id":1231,"href":"https:\/\/inphronesys.com\/index.php?rest_route=\/wp\/v2\/pages\/303\/revisions\/1231"}],"wp:attachment":[{"href":"https:\/\/inphronesys.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}