🍭 R Data Science Digest January 2022
A thematic list of R posts, packages and tools that were popular in the last month
A list of the most popular posts featured on R Posts you might have missed! in December 2021. All of the most exciting R resources in visualisation, data analysis and lots more! You can also search over 10,000 data science posts and packages with this interactive table that has been categorised by topic, resource type and code language.
📦 {geomtextpath} • Create curved text paths in ggplot2 by Allan Cameron and Teun van den Brand.
📦 {anomalize} • Tidy anomaly detection by Matt Dancho and Davis Vaughan.
📦 {pointblank} • Data quality assessment and metadata reporting for data frames and database tables by Richard Iannone and Mauricio Vargas.
Visualisation
📦 {MetBrewer} • Color palette package in R inspired by works at the Metropolitan Museum of Art in New York by Blake Robert Mills.
✍️ A Quick How-to on Labelling Bar Graphs in ggplot2 by Cédric Scherer.
📦 {ggcyberpunk} • A “Geom” for creating charts with a cyberpunk aesthetic by Joshua de la Bruere.
📦 {ggalluvial} • ggplot2 extension for alluvial plots by Cory Brunson Quentin Read.
📦 {ggiraph} • Make ggplot2 Graphics Interactive by David Gohel and Panagiotis Skintzos.
📦 {tayloRswift} • A ggplot2 color palette based on Taylor Swift Album Covers. For when your colors absolutely should not be excluded from the narrative. by Alex Stephenson.
📺 How to simplify ggplot2 with ggeasy by Sharon Machlis.
✍️ BodyMapR - An R Package and Shiny Application Designed to Generate Anatomical Visualizations of Cancer Lesions by David Michael Miller and Sophia Shalhout.
📦 {generativeart}• Create Generative Art with R by Katharina Brunner.
📦 {tricolore} • A flexible color scale for ternary compositions by Jonas Schöley and Ilya Kashnitsky.
📦 {colorblindcheck} • Tools helping to decide if a color palette is colorblind friendly by Jakub Nowosad.
✍️ How to Desaturate Figures for Publication using R by Chris Goodman.
✍️ Building an animation step-by-step with gganimate · Mapping the Japanese cherry blossom front by Alex Cookson.
✍️ Cracking open the internals of ggplot by June Choe.
Machine learning
📺 NHS R Webinar - Building a TidyModels Classification Model from Scratch, December 2021 - YouTube by Gary Hutson and NHS-R Community.
📦 {performance} • Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, …) by easystats.
📚 Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R by Paul Roback and Julie Legler.
✍️ Tired: PCA + kmeans, Wired: UMAP + GMM • An Alternative to the Classic Approach to Dimension Reduction + Clustering by Tony ElHabr.
✍️ Topic modeling for #TidyTuesday Spice Girls lyrics by Julia Silge.
📺 Deep Learning with Tidymodels, Torch,: Tabnet • Special Guest: Josh Starmer BAM! - YouTube by Joshua Starmer.
📦 sentimentr • Dictionary based sentiment analysis that considers valence shifters by Tyler Rinker.
Statistics
📦 probability cheatsheet • A comprehensive 10-page probability cheatsheet that covers a semester’s worth of introduction to probability. by William Chen.
✍️ Power Analysis • Introduction in R by Giuliano Sposito.
✍️ How to use Bayesian propensity scores and inverse probability weights • Andrew Heiss by Andrew Heiss.
✍️ My Journey From Frequentist to Bayesian Statistics • Statistical Thinking by Frank Harrell.
✍️ Why a career in statistical ecology? by Olivier Gimenez.
📚 Notes for Nonparametric Statistics by Eduardo García Portugués.
📺 Science Before Statistics: Causal Inference - YouTube by Richard McElreath.
Publishing
📦 {thesisdown} • An updated R Markdown thesis template using the bookdown package by Chester Ismay and Nick Solomon.
✍️ {vitae}: Dynamic CVs with R Markdown by Mitchell O’Hara-Wild.
✍️ Publication-ready tables with {flextable} and own theme in R by Michael Dismorr.
✍️ R Markdown Lesser-Known Tips: Tricks #1: Working in the RStudio IDE - RStudio by Brendan Cullen, Alison Presmanes Hill and Isabella Velásquez.
Dashboards and web apps
📚 Mastering Shiny by Hadley Wickham.
4 Tips to Make Your Shiny Dashboard Faster by RStudio.
📦 {golem} • A Framework for Building Robust Shiny Apps by Colin Fay, Vincent Guyader, Sébastien Rochette and Girard Cervan.
✍️ R Shiny Apps in 100 Seconds by Stephen McDaniel.
📦 shinyFiles • A shiny extension for server side file access by Thomas Lin Pedersen Vincent Nijs, Thomas Schaffner and Eric Nantz.
📦 {sunburstR} • R htmlwidget for interactive sunburst plots by Kent Russell, Mike Bostock, Kerry Rodden and Kevin Warne.
Spatial analysis & GIS
📦 {osmdata} • R package for downloading OpenStreetMap data by Mark Padgham, Bob Rudis, Robin Lovelace and Maëlle Salmon.
✍️ Sketchy, Hand-drawn-like Maps in R · David Schoch by David Schoch.
✍️ Animating public transport networks on 3D stacked maps • Urban Demographics by Rafael H. M. Pereira.
✍️ Motorway map of Europe using OSM data in R • Milos Popovic by Milos Popovic.
📦 {spikemap} • Maps made of spikes by Timothée Giraud.
Learning resources
📚 Big Book of R by Oscar Baruffa.
📚 Modern R with the tidyverse by Bruno Rodrigues.
📚 YaRrr! The Pirate’s Guide to R by Nathaniel D. Phillips.
📚 R for Health Data Science by Ewen Harrison and Riinu Pius.
📚 Data visualisation using R, for researchers who don’t use R by Nordmann, E., McAleer, P., Toivo, W., Paterson, H. and DeBruine, L.
Programming, workflow and package development
📦 {ViewPipeSteps} • Create tabs of View() output for each chained pipe by David Ranzolin and Joachim Gassen.
✍️ Regular Expressions Every R programmer Should Know by Theo Roe.
📦 {goodpractice} • advice about good practices when building R packages. Advice includes functions and syntax to avoid, package structure, code complexity, code formatting by Gábor Csárdi and Hannah Frick.
📦 Writing a Personal R Package by Jack Hannah.
📚 Github actions with R by Chris Brown, Murray Cadzow, Paula A Martinez, Rhydwyn McGuire, David Neuzerling, David Wilkinson and Saras Windecker.
✍️ Getting started with unit testing in R by Shannon Pileggi.
📦 {flow} • View and Browse Code Using Flow Diagrams by Antoine Fabri.
✍️ Managing bioinformatics pipelines with R: How to combine Conda, Docker, and R to run modular, reproducible bioinformatics pipelines by Joel Nitta.
🍭 R Data Science Digest January 2022
Some of the github account can't be accessed for some reason, e.g https://github.com/ismayc/thesisdown