R Data Science Digest July 2021
A list of the most popular posts featured on 'R Posts you might have missed!' in June 2021.
A list of the most popular posts featured on R Posts you might have missed! in June 2021. All of the most exciting R resources in statistics, visualisation, reporting, data manipulation and lots more!
Featured posts this month
🎙️ Data Science Twitch Streamers Round Up by Jesse Mostipak.
What’s new? Previously the preserve of gamers, the live-streaming platform Twitch now hosts a growing community of data scientists and programmers. If you are new to Twitch or curious about the format, Jesse Mostipak has put together a list of some of the best data science streamers to get you started.
✍️ Visualizing Distributions with Raincloud Plots with ggplot2
by Cédric Scherer.
Check this out! Cédric Scherer, a data visualisation expert explains how to create raincloud plots in this step-by-step tutorial. Raincloud plots are a powerful (and beautiful) way to visualise data distributions and a worthwhile investment for your DS toolkit.
📚 Big Book of R has over 200 books! by Oscar Baruffa.
Reading time! There are now a huge number of e-books available to R users to learn new topics in greater depth. Since 2020, Oscar Baruffa has been collating a list of mostly free R books organised by topic, which has now passed the amazing milestone of containing over 200 books!
Visualisation
📦
grafify
: An R package for easy graphs, ANOVAs and post-hoc comparisons by Avinash Shenoy.📦
patchwork
• The Composer of ggplots. Makes it ridiculously simple to combine separate ggplots into the same graphic by Thomas Lin Pedersen.📦
ggstatsplot
• Enhancingggplot2
plots with statistical analysis by Indrajeet Patil.✍️ R packages that make ggplot2 more beautiful (Vol. I) by Tuo Wang.
✍️ Top 50
ggplot2
Visualizations • The Master List (With Full R Code) by Selva Prabhakaran.✍️ 15 Tips to Customize lines in
ggplot2
with element_line()by cmdline tips.📦
ggbump
• A geom for ggplot to create bump plots by David Sjöberg.✍️ Visualize Nested Data with Sunburst plots in R by Paul Apivat.
📦
ggdist
• Slab + interval stats and geoms by Matthew Kay.✍️ Overlaying facetted histograms with normal curve using ggplot2 by Sebastian Sauer.
✍️
sjPlot
• Summary of Regression Models as HTML Tableby Daniel Lüdecke.
Statistics / Statistical modelling
📦
gratia
• An R package for working with generalized additive models by Dr Gavin Simpson.✍️ Confidence and prediction intervals by Kevin Wang.
✍️ Spatial Autocorrelation in R • All things urban and data by Josiah Parry.
✍️ Functional PCA with R by Joseph Rickert.
✍️ Beyond Multiple Linear Regression by Paul Roback and Julie Legler.
📦
tidybayes
• Bayesian analysis + tidy data + geoms (R package) by Matthew Kay.📚 Introduction to Modern Statistics by Mine Çetinkaya-Rundel and Johanna Hardin.
✍️ Principal Component Analysis (PCA) by Helen Yan.
✍️ Using R to make sense of the generalised linear model by Ladislas Nalborczyk.
RMarkdown & Publishing
✍️ Making tables suck less by Patrick Baylis.
✍️ How to make an interactive tutorial to teach R? by Damien Dupré.
📦
webex
• RMarkdown tools for creating self-guided web exercises by Dale Barr and Lisa DeBruine.📦
trackdown
• Collaborative Writing and Editing of R Markdown (or Sweave) Documents in Google Drive by Emily Kothe, Claudio Zandonella Callegher, Filippo Gambarota, Janosch Linkersdörfer and Mathew Ling.✍️ Academic Publications with R Markdown by Dan Ovando.
📦
wordcountaddin
• Word counts and readability statistics in R markdown documents by Ben Marwick.✍️ RMarkdown, Data and Templates: Creating RMarkdown documents from data by using and styling templates by Craig Hamilton.
📦
codehover
• Hoverable HTML Table for Displaying Intermediary Code Results (e.g. Pipes) by Arthur Welle.
R programming
✍️ Loops in R – for, while, repeat - Universe of Data Science by Universe of Data Science.
✍️ The Importance of Good Coding Practices For Data Scientists by Maria-Cristiana Gîrjău and Nicholas Horton.
✍️ R 4.1.0: Base R Pipe! • Statistik Dresden by Statistik in Dresden.
✍️ Your first R package in 1 hour • Tools that make R package development easy by Shannon Pileggi.
✍️ How to Write Functions to Make Plots with ggplot2 in R by cmdline tips.
Spatial tools & applications
✍️ How to make a neat choropleth map using R • Milos Popovic by Milos Popovic.
📦
stars
• Spatiotemporal Arrays, Raster and Vector Data Cubes by Edzer Pebesma.📦 Streetmaps • Create a streetmap of your favorite city with ggplot2 and powerpoint by Christian Burkhart.
📦
sits
• Satellite image time series in R by e-sensing developers.✍️ Chapter 10 Spatio-Temporal Analysis • Spatial Modelling for Data Scientists by Francisco Rowe and Dani Arribas-Bel.
📦
moveVis
• Movement Data Visualization by Jakob Schwalb-Willmann.
Utilities
📦
rsthemes
• Full RStudio IDE and Syntax Themes by Garrick Aden-Buie.📦
rstudio-themes
• A collection of themes for RStudio by Max Alletsee.📦
textme
• Send text messages from R to your cell phone to notify you when long-running jobs complete by Rich Pauloo.📦
emayili
• a package for sending emails from R by Andrew B. Collier.
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