R Weekly 2021-W09 Random effects, GGanimate intro, dplyr backends

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Hello and welcome to this new issue!

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

This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.

Highlight

• Random effects and penalized splines are the same thing

• GGanimating a geographic introduction

• dplyr backends: multidplyr 0.1.0, dtplyr 1.1.0, dbplyr 2.1.0

Insights

• January 2020: “Top 40” New CRAN Packages

• Introducing the RStudio Launcher Plugin SDK

• Typo-shaming my Git commits

• dplyr backends: multidplyr 0.1.0, dtplyr 1.1.0, dbplyr 2.1.0

R in the Real World

• Introducing JumpeR - For Track and Field Data

• Macroeconomic data for France, Germany, Italy, Spain & the Euro Area

R in Academia

• Szabelska, A., Pollet, T. V., Dujols, O., Klein, R. A., & IJzerman, H. (2021, February 25). A Tutorial for Exploratory Research: An Eight-Step Approach. https://doi.org/10.31234/osf.io/cy9mz

Resources

• SDS 375/395 Data Visualization in R (Claus Wilke)

• Empirical Economics with R (Part D): Instrumental Variable Estimation and Potential Outcomes

• Handy functions to quickly load locally stored HMD file

• OHSU/PSU SPH BSTA 504 Midterm Projects (using #TidyTuesday data)

New Packages

???? Go Live for More New Pkgs ????

CRAN

• {terrainr} 0.3.1: Landscape Visualizations in R and ‘Unity’.

• {box} 1.0.0: Write reusable, composable and modular R code.

• {rheroicons} 0.3.1: A Zero Dependency ‘SVG’ Icon Library for ‘Shiny’.

• {sgat} 0.9: Extract Information from Google’s “Popular Times”.

• {gargoyle} 0.0.1: An Event-Based Mechanism for ‘Shiny’.

• {dumbbell} 0.1: Displaying Changes Between Two Points Using Dumbbell Plots.

• {SoilTaxonomy} 0.1: United States Soil Taxonomy.

• {tinyspotifyr} 0.2.2: Tinyverse R Wrapper for the ‘Spotify’ Web API.

• {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

• {CitaviR} 0.2.0: A set of tools for dealing with Citavi data.

• {nivor} 0.0.0.9000: NIVO Visualization Components in R.

• {fontscales} 0.0.0.9000: Use Iconographic Fonts in ‘ggplot2’.

• {gtfstools} 0.1.0: General Transit Feed Specification (GTFS) Editing and Analysing Tools.

• {nflseedR} 1.0.0: Functions to Efficiently Simulate and Evaluate NFL Seasons.

Updated Packages

• {pkgload} 1.2.0: Simulate installing and loading a package.

• {tablet} 0.2.7: Tabulate Descriptive Statistics in Multiple Formats.

• {lubridate} 1.7.10: Make Dealing with Dates a Little Easier.

• {ComplexUpset} 1.1.0: Create Complex UpSet Plots Using ‘ggplot2’ Components.

• {tibble} 3.1.0: Simple Data Frames.

• {ragg} 1.1.1: Graphic Devices Based on AGG.

• {renv} 0.13.0: Project Environments.

• {meta} 4.17-0: General Package for Meta-Analysis.

• {lime} 0.5.2: Local Interpretable Model-Agnostic Explanations.

• {RcppParallel} 5.0.3: Parallel Programming Tools for ‘Rcpp’.

• {ISOcodes} 2021.02.24: Selected ISO Codes.

• {kokudosuuchi} 1.0.0: Utilities for ‘Kokudo Suuchi’.

• {Rdpack} 2.1.1: Update and Manipulate Rd Documentation Objects.

• {pkgload} 1.2.0: Simulate Package Installation and Attach.

• {gtrendsR} 1.4.8: Perform and Display Google Trends Queries.

• {ggsignif} 0.6.1: Significance Brackets for ‘ggplot2’.

• {ggraph} 2.0.5: An Implementation of Grammar of Graphics for Graphs and Networks.

• {WriteXLS} 6.2.0: Cross-Platform Perl Based R Function to Create Excel 2003 (XLS).

• {ggprism} 1.0.2: A ‘ggplot2’ Extension Inspired by ‘GraphPad Prism’. and Excel 2007 (XLSX) Files.

• {g2r} 1.0.0.9000: Grammar of graphics for interactive visualisation using G2.js.

Videos and Podcasts

• How to Plot Data from Databases in R Efficiently: dbplot Dealing with large datasets that live in a database, plotting in R can be challenging. Best practice: Do aggregations inside the database. The dbplot package can be of great help.

• Explore demographic employment data with k-means

• Using Git and GitHub in R

• TidyModels by Max Kuhn (Cleveland R User Group)

Shiny Apps

• {golem} Shiny app examples

• Add POST requests to {shiny} with {brochure}

R Internationally

• ???????? C’est quoi, le tidyverse ?

• コロナワクチンのデータを R で可視化する

Tutorials

• GGanimating a geographic introduction

• Finding route from A to B, and querying OpenStreetMap for POIs along this route. A spatial analytics use case.

• Doing Row-wise Operations the Column-wise Way With tidyr pivot_longer

• {blogdown}: Optimise PNG Image Size

• Shot Maps In R With StatsBomb Data

• #GithubSkyline but hear me out

• Random effects and penalized splines are the same thing

• Advanced {future} and {promises} usage

• Getting started with k-means and #TidyTuesday employment status

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• 90th TokyoR Virtual Meetup

• 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

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

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