R Weekly 2022-W30 {nplyr}, {rtweet}, & {ggarchery}!
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Hello and welcome to this new issue!
This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.
Highlight
{nplyr} 0.1.0: A grammar of (nested) data manipulation.
{ggarchery}: Flexible segment geoms with arrows for ggplot2.
Insights
Heads up! Quarto is here to stay. Immediately combine R & Python in your next document
Robin Donatello Talks About Growing an R Community at a State University
R in the Real World
R in Organizations
- {a11ytables} 0.1.0: Generate stats spreadsheets for publication that adhere to the latest guidance (June 2021) on releasing statistics in spreadsheets from the Best Practice and Impact Division (BPID) of the UK’s Government Statistical Service (GSS).
Resources
New Packages
CRAN
{nplyr} 0.1.0: A grammar of (nested) data manipulation.
{globaltrends} 0.0.12: An R package that builds on gtrendsR to facilitate downloading, storing, and analyzing large-scale Google Trends queries.
GitHub or Bitbucket
{strangeRthings} 0.1.0: Stranger Things episode transcripts in tidy format (github.com).
{primermd} 0.0.1: An Accessible and Responsive Template for R Markdown, Based on GitHub’s Primer CSS.
{ggarchery} 0.3.0: Flexible segment geoms with arrows for ggplot2.
{gfwr} 0.0.0.9000: R package for accessing data from Global Fishing Watch APIs.
{ggdensity} 0.1.0: An R package for interpretable visualizations of bivariate density estimates.
{epinowcast 0.1.0}: Flexible hierarchical nowcasting.
{NatParksPalettes} 0.1.0: Color palette package inspired by National Parks.
- {gosling} 0.0.0.9000: Interface to ‘Gos’.
Updated Packages
{mirai} 0.5.2: Minimalist async evaluation framework for R. - diffify
{preferably} 0.4.1: An Accessible ‘pkgdown’ Template. - diffify
{s2} 1.1.0: Spherical Geometry Operators Using the S2 Geometry Library. - diffify
{sfdep} 0.2.0: A tidy interface for spatial dependence. - diffify
{blsR} 0.3.1: Make Requests from the Bureau of Labor Statistics API - diffify
{accessibility} 1.0.0: Transport Accessibility Measures - diffify
{audubon} 0.3.0: Japanese Text Processing Tools - diffify
{future} 1.27.0: Unified Parallel and Distributed Processing in R for Everyone - diffify
{tibble} 3.1.8: Simple Data Frames - diffify
{dm} 1.0.0: Relational Data Models - diffify
{datardis} 0.0.3: Data from the Doctor Who Series - diffify
{mlr3} 0.13.4: Machine Learning in R - Next Generation - diffify
{stars} 0.5-6: Spatiotemporal Arrays, Raster and Vector Data Cubes - diffify
{rtweet} 1.0.2: Collecting Twitter Data - diffify
{ggtikz} 0.1.1: Post-Process ‘ggplot2’ Plots with ‘TikZ’ Code Using Plot Coordinates - diffify
{devtools} 2.4.4: Tools to Make Developing R Packages Easier - diffify
{fontawesome} 0.3.0: Easily Work with ‘Font Awesome’ Icons - diffify
{igraph} 1.3.4: Network Analysis and Visualization - diffify
{bsTools} 1.0.2: Create HTML Content with Bootstrap 5 Classes and Layouts - diffify
{ggdist} 3.2.0: Visualizations of Distributions and Uncertainty - diffify
{tvthemes} 1.3.1: TV Show Themes and Color Palettes for ‘ggplot2’ Graphics - diffify
{shiny} 1.7.2: Web Application Framework for R - diffify
{roxygen2} 7.2.1: In-Line Documentation for R - diffify
{pillar} 1.8.0: Coloured Formatting for Columns - diffify
{htmltools} 0.5.3: Tools for HTML - diffify
{RSQLite} 2.2.15: SQLite Interface for R - diffify
{ggdag} 0.2.5: Analyze and Create Elegant Directed Acyclic Graphs - diffify
{ggshakeR 0.2.0}: Analytics and Visualization Package for Soccer Data. - diffify
{bslib} 0.4.0: Custom ‘Bootstrap’ ‘Sass’ Themes for ‘shiny’ and ‘rmarkdown’ - diffify
Videos and Podcasts
NHS-R Webinar: Shiny Tool Predicting Primary Care Demand from Large Scale Housing Devs, July 2022
How to exchange NA values by another variable in the R programming language
Tutorials
Draft position for players in the NBA for the 2020-21 season
What’s the fastest way to search and replace strings in a data frame?
Introduction to ggpattern Package in R (6 Examples): ggplot2 Plots with Textures
A Kaggle Dataset of R Package History for rstudio::conf(2022)
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
- Why this is the year you should take the stage at EARL 2022…
- This week’s local R-User and applied stats events
Jobs
Call for Participation
Quotes of the Week
messy, realistic datasets are **extremely** useful for learning, teaching, exploring, and practicing your #rstats skills. so where do you find datasets like this?!
— We are R-Ladies (@WeAreRLadies) July 21, 2022
here are some practical tips you can use to find messy datasets! 🧵
Today's #rstats function I really should have tried before now: purrr::walk()
— Cara Thompson (@cararthompson) July 22, 2022
I love a good "for" loop, because it's very readable, but walk() is more succinct *and* very readable - arguably more so!
Say hi to the Penguins with me 👋🐧🐧🐧
P.S. Thanks @dgkeyes for the tip! pic.twitter.com/cW3K7gEa4f
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