R Weekly 2022-W46 {rtoot}, column headers, apply functions, NBA posters

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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

• {rtoot}: Collecting and analyzing mastodon data!

• Fixing broken and irregular column headers

• Let’s Get Apply’ing

• NBA Posters

Insights

• {rtoot}: Collecting and analyzing mastodon data!

• Regular, intentional, and time-boxed yak shaving. (A conversation with Jenny Bryan about productive incremental learning)

• Representations of Spatial Data

• My journey developing {explore} 1.0.0

R in the Real World

• NBA Posters

R in Academia

• Code and paper for “Human capital mediates natural selection in contemporary humans”

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {rtoot} 0.1.0: Collecting and Analyzing Mastodon Data.

• {mailchimpR} 0.1.0: Get Mailchimp Data via the ‘Windsor.ai’ API

• {commafree} 0.1.0: Call Functions Without Commas Between Arguments.

• {powerjoin} 0.1.0: Extensions of ‘dplyr’ and ‘fuzzyjoin’ Join Functions.

• {toRvik} 1.1.1: Extensive and Tidy NCAA Men’s College Basketball Data.

• {sugarbag} 0.1.6: Create Tessellated Hexagon Maps.

GitHub or Bitbucket

• onetime - run R code just once

• {tfevents} 0.0.0.9000

• {constructive} 0.0.1.9000: Display Idiomatic Code to Construct Most R Objects.

Updated Packages

🔍 Search on R-universe 🔍

• nanonext 0.7.0: NNG (Nanomsg Next Gen) Lightweight Messaging Library. - diffify

• {rayshader} 0.30.0 Create Maps and Visualize Data in 2D and 3D. - diffify

• {recipes} 1.0.3: Preprocessing and Feature Engineering Steps for Modeling. - diffify

• {ntfy}: Lightweight Wrapper to the ntfy.sh Service. - diffify

• {explore} 1.0.0: Simplifies Exploratory Data Analysis. - diffify

• {paint} 0.1.7: paint data.frames summaries in colour. - diffify

• {breakerofchains} 0.3.2: Break Chained Expressions and Run Them with Printed Output. - diffify

• {huxtable} 5.5.1: Easily Create and Style Tables for LaTeX, HTML and Other Formats. - diffify

• {usmap} 0.6.1: US Maps Including Alaska and Hawaii. - diffify

• {roxygen2} 7.2.2: In-Line Documentation for R. - diffify

• {modelr} 0.1.10: Modelling Functions that Work with the Pipe. - diffify

• {parsnip} 1.0.3: A Common API to Modeling and Analysis Functions. - diffify

• {ggfortify} 0.4.15: Data Visualization Tools for Statistical Analysis Results. - diffify

• {biblio} 0.0.7: Interacting with BibTeX Databases. - diffify

• {tidyterra} 0.3.1: ‘tidyverse’ Methods and ‘ggplot2’ Helpers for ‘terra’ Objects. - diffify

• {rmarkdown} 2.18: Dynamic Documents for R. - diffify

• {RcppArmadillo} 0.11.4.2.1: ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library. - diffify

• {hydraulics} 0.6.0: Basic Pipe and Open Channel Hydraulics. - diffify

• {ggh4x} 0.2.3: Hacks for ‘ggplot2’. - diffify

• {learnr} 0.11.2: Interactive Tutorials for R. - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Scaling Shiny Apps for Python and R: Sticky Sessions on Heroku

• How to Create Interactive Networks using R (Marvel movies example)

• #TidyX Episode 123: Crossing function from #Tidyverse to create Cartesian products of vectors and tibbles!

Tutorials

• Fixing broken and irregular column headers

• Delete all your tweets using rtweet

• Building a TidyModels classification model from scratch and deploying with Vetiver

• Little useless-useful R functions – Reverse integer

• How to use nflfastR with Google BigQuery?

• Which Gender is associated with this Name? R to the R-escue!

• Let’s Get Apply’ing

R Project Updates

Updates from R Core:

• Sporadic Rterm Crashes with Completion

Updates from the R Contribution Working Group:

• Participants of the LatinR translation hackathon translated around 500 R messages into Brazilian Portuguese/Spanish.
• Plans are underway to launch contributor office hours in the next month or two.
• Full minutes of RCWG meeting.

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

Quotes of the Week

Today's #rstats "I wish I'd known this sooner" moment:
tidyr::replace_na()

The list argument allows you to replace NAs in different columns with different things all in one go 🥳

Health warnings:
- Beware of class changes
- Use caution when replacing NAs! pic.twitter.com/e5zbx83z8f

— Cara Thompson (@cararthompson) November 11, 2022

1/3‼️New #rayshader update (v0.30.0)! And it's a big one: Trees, 3D buildings, and OBJ support!

Now you can visualize important questions like: What would the National Mall look like if we replaced the Washington Monument with Sauron's dark tower? 😀#RStats #dataviz #rayrender pic.twitter.com/7K7YmMNFOu

— Tyler Morgan-Wall @[email protected] (@tylermorganwall) November 11, 2022

New chapter in R4DS: https://t.co/tl71p4lkTH — the goal of this chapter is to give an overview of important base R functions like [, [[, $, apply, and for loops #rstats

— Hadley Wickham (@hadleywickham) November 4, 2022

If you work with highly sensitive data, how do you work with #rstats and GitHub in a way that keeps that data off of GitHub?

— David Keyes (@dgkeyes) November 9, 2022

Anyone ever set up a way for a non-R user to trigger an R script to run? I'm thinking something like the non-R user submitting a form that triggers a GitHub Action that sends them an email with a report. #rstats

— David Keyes (@dgkeyes) November 3, 2022

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