R Weekly 2020-49 ggplot2, static code analysis, visual CV

07 Dec 2020

Release Date: 2020-12-07

This week’s release was curated by Jonathan Carroll, with help from the RWeekly team members and contributors.

• How to have (my) content shared by R Weekly?

Highlight

• An extended version of “A ggplot2 Tutorial for Beautiful Plotting”

• Using parse data to analyze R code

• Creation of a custom visual CV by ggplot hacking

Insights

• Compare two languages in R Markdown documents

• A NOTE on URL checks of your R package

• An extended version of “A ggplot2 Tutorial for Beautiful Plotting”

• Why complex models are data-hungry?

• Shifting political winds

• Covid-19 Trends in the Netherlands

• Using parse data to analyze R code

• Loading Oura ring data in R

• A collection of US political data

R in the Real World

• US 2020 Presidental Election and Rural - Urban Divide

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {mapSpain} 0.1.1: Administrative Boundaries of Spain at several levels (CCAA, Provinces, Municipalities). It also provides a ‘leaflet’ plugin and the ability of downloading and processing static tiles.

• {shinydlplot} 0.1.3: Add a Download Button to a ‘shiny’ Plot or ‘plotly’

• {allcontributors} 0.0.2: Acknowledge all Contributors to a Project

• {tablesgg} 0.7-1: Presentation-Quality Tables, Displayed Using ‘ggplot2’

• {shinyfilter} 0.1.0: Use Interdependent Filters on Table Columns in Shiny Apps

• {drawsample} 0.1.1: Draw Samples with the Desired Properties from a Data Set

• {tabularaster} 0.6.6: Tidy Tools for ‘Raster’ Data

• {nsyllable} 1.0: Count Syllables in Character Vectors

• {srt} 1.0.0: Read Subtitle Files as Tabular Data

• {cascadess} 0.1.0: A Style Pronoun for ‘htmltools’ Tags

GitHub or Bitbucket

• {airball} 0.1.0: An R package to extract common NBA schedule & travel metrics for modeling purposes.

• {convo} 0.0.0.9000: Enables conversations and contracts through controlled vocabulary naming conventions

Updated Packages

• {ExPanDaR} 0.5.2: Explore Your Data Interactively

• {googleAuthR} 1.3.1: Authenticate and Create Google APIs

• {paws.common} 0.3.6: Paws Low-Level Amazon Web Services API

• {ps} 1.5.0: List, Query, Manipulate System Processes

• {ggalluvial} 0.12.3: Alluvial Plots in ‘ggplot2’

• {hexSticker} 0.4.9: Create Hexagon Sticker in R

• {fitdistrplus} 1.1-3: Help to Fit of a Parametric Distribution to Non-Censored or Censored Data

• {badger} 0.0.9: Badge for R Package

• {chess} 1.0.1: Read, Write, Create and Explore Chess Games

• {rtiff} 1.4.8: Read and Write TIFF Files

• {ggvis} 0.4.7: Interactive Grammar of Graphics

• {openSkies} 0.99.8: An R Client-Side Interface to the ‘OpenSky’ API

• {tidytransit} 0.7.2: Read, Validate, Analyze, and Map Files in the General Transit Feed Specification

• {pixels} 0.1.1: Tools for Working with Image Pixels

• {gitcreds} 0.1.1: Query ‘git’ Credentials from ‘R’

• {ompr} 0.8.1: Model and Solve Mixed Integer Linear Programs

• {ggstatsplot} 0.6.6: ‘ggplot2’ Based Plots with Statistical Details

• {distill} 1.1: ‘R Markdown’ Format for Scientific and Technical Writing

• {knitrdata} 0.6.0: Data Language Engine for ‘knitr’ / ‘rmarkdown’

• {storr} 1.2.5: Simple Key Value Stores

• {bomrang} 0.7.3: Australian Government Bureau of Meteorology (‘BOM’) Data Client

• {languageserver} 0.3.8: Language Server Protocol

• {srvyr} 1.0.0: ‘dplyr’-Like Syntax for Summary Statistics of Survey Data

• {jsmodule} 1.1.4: ‘RStudio’ Addins and ‘Shiny’ Modules for Medical Research

• {sfheaders} 0.4.0: Converts Between R Objects and Simple Feature Objects

• {pagedown} 0.13: Paginate the HTML Output of R Markdown with CSS for Print

• {lme4} 1.1-26: Linear Mixed-Effects Models using ‘Eigen’ and S4

• {inline} 0.3.17: Functions to Inline C, C++, Fortran Function Calls from R

Videos and Podcasts

• Get started with random forest tuning and tidymodels using IKEA price data

• TidyX Episode 38

• ggpattern Package in R (5 Examples) ; Draw ggplot2 Plots with Textures ; Barplot, Density & Boxplot

• Shiny Developer Series episode 17: Dean Attali

Tutorials

• Creation of a custom visual CV by ggplot hacking

• When one model is not enough: Stacking models with {stacks}

• Tune random forests for #TidyTuesday IKEA prices

• CalledStrike Package and Swing and Miss Stats

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• The Wild World of Data Repositories, rOpenSci community call, Wednesday, 16 December 2020 18:00 UTC

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

#RStats community, really? It's been like 5 hours now and no one noticed the big news? 😛https://t.co/c4OXTO0WCw

Thank you @LukeTierney4 @_lionelhenry @jimhester_ (who else?)#pipypipy pic.twitter.com/5P9QPe1H8a

— Henrik Bengtsson (@henrikbengtsson) December 4, 2020

Help me out please #rstats: When you first learned R, what was your main motivation to do so?

— David Keyes (@dgkeyes) December 3, 2020

New _major_ feature release for {svgchop}, which you can use to approximate SVGs as polygons in #rstats.https://t.co/SI13cpJNDf

Now supports all path commands, most elements, transforms, clip-paths, and more.

1/5 pic.twitter.com/tfQDZcovLU

— BrodieG (@BrodieGaslam) November 27, 2020