🎅 R Data Science Digest December 2021
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 November 2021. All of the most exciting R resources in visualisation, data analysis and lots more! You can also search nearly 10,000 Python and R posts: packages with this interactive table that has been categorised by topic, resource type and code language.
📦{sits} • Satellite image time series in R by e-sensing developers. From the developers: ‘The sits R package provides a set of tools for analysis, visualization and classification of satellite image time series. The package supports classification of image data cubes using machine learning methods.'
✍️Academic writing in R Markdown I • Why R Markdown? and Academic Writing in R Markdown II • Writing my PhD Thesis in R Markdown by Mariana Montes.
Visualisation
✍️An Exploratory Introduction to the Plotly Package by Albert Rapp.
📦{ggbump} • A geom for ggplot to create bump plots by David Sjöberg.
✍️Efficient and beautiful data synthesis: Taking your tidyverse skills to the next level by Coding Club.
📦{graphlayouts} • new layout algorithms for network visualizations in R by David Schoch.
📦{waffle} • Make waffle (square pie) charts in R by Bob Rudis.
📦{scico} • Palettes for R based on the Scientific Colour-Maps by Thomas Lin Pedersen and Fabio Crameri.
Shiny
✍️A beginner’s guide to Shiny modules by Emily Riederer.
✍️Using Shiny in Healthcare: Examples from the 2021 Shiny Contest by Shannon Hagerty.
📦{firebase} • Authenticate Shiny Users with Firebase by John (JP) Coene.
📚Outstanding User Interfaces with Shiny by David Granjon.
Statistics
✍️Regression Modelling in R: A bit of theory and application by Chris Mainey.
✍️A guide to correctly calculating posterior predictions and average marginal effects with multilievel Bayesian models by Andrew Heiss.
✍️Survival Analysis in tidymodels by Hannah Frick.
🎓Visualizing Linear Models: An R Bag of Tricks by Michael Friendly.
✍️Covariance and Pearson correlation in R by Jose M Sallan.
📦{MatchIt} • Nonparametric Preprocessing for Parametric Causal Inference by Daniel Ho, Kosuke Imai, Gary King Elizabeth Stuart.
📺Statistical learning with big data by Trevor Hastie.
✍️Partial Least Squares in R (Step-by-Step) by Zach Bobbitt.
Spatial (data & analysis)
📦geodata} • an R package for downloading geographic data. This package facilitates access to climate, elevation, soil, species occurrence, and administrative boundary data by Robert J. Hijmans.
✍️Spatial resampling for #TidyTuesday and the #30DayMapChallenge by Julia Silge.
📦{geobr} • Easy access to official spatial data sets of Brazil in R and Python by Rafael H. M. Pereira and Caio Nogueira Goncalves.
📦{maptiles} • Download, compose and display map tiles with R by Timothée Giraud.
✍️Intro to GIS and Spatial Analysis by Manny Gimond.
Spatial (visualisation)
✍️Mapping isochrones in {ggplot2} • Jamie Hudson by Jamie Hudson.
📦{geographr} • R package for mapping UK geographies by Mike Page and Matthew G Thomas.
📦{roughsf} • R package to draw sketchy, hand-drawn-like maps with roughjsby David Schoch.
✍️Animated map and lineplot with R • Milos Popovic by Milos Popovic.
✍️Doing maps in R by Jose M Sallan.
Books and learning resources
📚Data Science: A First Introduction by Tiffany Timbers, Trevor Campbell and Melissa Lee.
📺Intro to R for Social Scientists by Jasper Tjaden.
📚A Business Analyst’s Introduction to Business Analytics by Adam Fleischhacker.
Publishing
✍️Quickstart guide to blogdown • Get familiar with blogdown in 30 minutes! by Bernhard Bieri.
📺Using RMarkdown to Create Reproducible Documents (Oct 26, 2021) by Mine Çetinkaya-Rundel.
✍️Business Reports with R Markdown: How to better theme report? by Christophe Dervieux.
✍️On blogging reproducibly with {renv} by Danielle Navarro.
Machine learning and NLP
✍️Time Series Forecasting with XGBoost and Feature Importance by Selcuk Disci.
📦{ETM} • Topic Modelling in Semantic Embedding Spaces by Jan Wijffels.
✍️Extracting Text from Images with Google Vision API and R by Matthew Henderson.
Data manipulation
✍️A Beginners Guide to Match Any Pattern Using Regular Expressions in R by Rashida Nasrin Sucky.
📦{rex} • Friendly regular expressions for R by Kevin Ushey, Jim Hester and Robert Krzyzanowski.
✍️Parquet, SQL, DuckDB, arrow, dbplyr and R by Rich Pauloo.
Utilities and workflow
📦{gittargets} • Data version control for reproducible analysis pipelines in R with {targets} by Will Landau.
📦{datapasta} • RStudio addins and R functions that make copy-pasting vectors and tables to text painless by Suthira Owlarn.
📦{staplr} • A Toolkit for PDF Files by Priyanga Dilini Talagala, Ogan Mancarcı, Daniel Padfield and Granville Matheson.
📦{radian} • an alternative console for the R program with multiline editing and rich syntax highlight by Randy Lai.
📦{lambdr} • Run R containers on AWS Lambda by David Neuzerling.
✍️Big things come in small packages – Tips and tricks for developing your own R package by Cosima Meyer.