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R Weekly 2021-W09 Random effects, GGanimate intro, dplyr backends
This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.
Highlight
Insights
R in the Real World
R in Academia
Resources
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Empirical Economics with R (Part D): Instrumental Variable Estimation and Potential Outcomes
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OHSU/PSU SPH BSTA 504 Midterm Projects (using #TidyTuesday data)
New Packages
CRAN
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{terrainr} 0.3.1: Landscape Visualizations in R and ‘Unity’.
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{box} 1.0.0: Write reusable, composable and modular R code.
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{rheroicons} 0.3.1: A Zero Dependency ‘SVG’ Icon Library for ‘Shiny’.
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{sgat} 0.9: Extract Information from Google’s “Popular Times”.
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{gargoyle} 0.0.1: An Event-Based Mechanism for ‘Shiny’.
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{dumbbell} 0.1: Displaying Changes Between Two Points Using Dumbbell Plots.
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{SoilTaxonomy} 0.1: United States Soil Taxonomy.
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{tinyspotifyr} 0.2.2: Tinyverse R Wrapper for the ‘Spotify’ Web API.
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{flightplanning} 0.8.4: UAV Flight Planning.
- {terrainr} 0.3.1: Landscape Visualizations in R and ‘Unity’.
- {fontawesome} 0.1.0: Easily Work with ‘Font Awesome’ Icons.
GitHub or Bitbucket
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{CitaviR} 0.2.0: A set of tools for dealing with Citavi data.
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{nivor} 0.0.0.9000: NIVO Visualization Components in R.
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{fontscales} 0.0.0.9000: Use Iconographic Fonts in ‘ggplot2’.
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{gtfstools} 0.1.0: General Transit Feed Specification (GTFS) Editing and Analysing Tools.
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{nflseedR} 1.0.0: Functions to Efficiently Simulate and Evaluate NFL Seasons.
Updated Packages
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{pkgload} 1.2.0: Simulate installing and loading a package.
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{tablet} 0.2.7: Tabulate Descriptive Statistics in Multiple Formats.
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{lubridate} 1.7.10: Make Dealing with Dates a Little Easier.
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{ComplexUpset} 1.1.0: Create Complex UpSet Plots Using ‘ggplot2’ Components.
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{tibble} 3.1.0: Simple Data Frames.
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{ragg} 1.1.1: Graphic Devices Based on AGG.
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{renv} 0.13.0: Project Environments.
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{meta} 4.17-0: General Package for Meta-Analysis.
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{lime} 0.5.2: Local Interpretable Model-Agnostic Explanations.
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{RcppParallel} 5.0.3: Parallel Programming Tools for ‘Rcpp’.
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{ISOcodes} 2021.02.24: Selected ISO Codes.
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{kokudosuuchi} 1.0.0: Utilities for ‘Kokudo Suuchi’.
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{Rdpack} 2.1.1: Update and Manipulate Rd Documentation Objects.
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{pkgload} 1.2.0: Simulate Package Installation and Attach.
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{gtrendsR} 1.4.8: Perform and Display Google Trends Queries.
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{ggsignif} 0.6.1: Significance Brackets for ‘ggplot2’.
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{ggraph} 2.0.5: An Implementation of Grammar of Graphics for Graphs and Networks.
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{WriteXLS} 6.2.0: Cross-Platform Perl Based R Function to Create Excel 2003 (XLS).
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{ggprism} 1.0.2: A ‘ggplot2’ Extension Inspired by ‘GraphPad Prism’. and Excel 2007 (XLSX) Files.
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{g2r} 1.0.0.9000: Grammar of graphics for interactive visualisation using G2.js.
Videos and Podcasts
Shiny Apps
R Internationally
Tutorials
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Call for Participation
Quotes of the Week
love to read in and smush 400 csv files at once pic.twitter.com/nmeOlbUTuE
— Asmae Toumi (@asmae_toumi) February 24, 2021
I found a tweet on Poisson regression this morning on my feed and thought it would be a good time to write a tweetorial on Poisson regression. To keep things simple, I will assume we have a count response variable Y and a single predictor variable X. Here we go! #rstats pic.twitter.com/JaIDnwqdEs
— Isabella R. Ghement (@IsabellaGhement) February 22, 2021
Want to watch a yt video while coding in #Rstudio and don't have second screen? here is a hacky way to do it in the viewer pane (shiny app+local job) . https://t.co/mM9qt4gC8S #rstats pic.twitter.com/frbGLZmz0j
— David Schoch (@schochastics) February 20, 2021