R Weekly 2021-W40 Plumber, Pipes, and Python

04 Oct 2021

Release Date: 2021-10-04

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

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Highlight

Insights

R in the Real World

The Story Behind rspatialdata

R in Organizations

Resources

A Succinct Intro to R

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

{GoogleImage2Array} 0.99.2: Create Array Data from 2D Image Thumbnails via Google Image Search
{eyetrackingR} 0.2.0: Eye-Tracking Data Analysis
{dcmodifydb} 0.1.2: Modifying Rules on a DataBase

Updated Packages

RcppArmadillo 0.10.7.0.0 on CRAN: New Upstream
{bigparallelr} 0.3.2: Easy Parallel Tools
{listcompr} 0.4.0: List Comprehension for R
{procmaps} 0.0.4: Portable Address Space Mapping
{pins} 1.0.0: Pin, Discover and Share Resources
{runonce} 0.2.3: Run Once and Save Result
{shiny} 1.7.1: Web Application Framework for R
{proceduralnames} 0.2.0: Several Methods for Procedural Name Generation
{tidymodels} 0.1.4: Easily Install and Load the ‘Tidymodels’ Packages
{metaRNASeq} 1.0.7: Meta-Analysis of RNA-Seq Data
{mailmerge} 0.2.3: Mail Merge Using R Markdown Documents and ‘gmailr’
{XLConnect} 1.0.5: Excel Connector for R
{padr} 0.6.0: Quickly Get Datetime Data Ready for Analysis
{readrba} 0.1.2: Download and Tidy Data from the Reserve Bank of Australia
{tidytext} 0.3.2: Text Mining using ‘dplyr’, ‘ggplot2’, and Other Tidy Tools
{diffviewer} 0.1.1: HTML Widget to Show File Differences
{keras} 2.6.1: R Interface to ‘Keras’
{tibble} 3.1.5: Simple Data Frames
{shinydashboard} 0.7.2: Create Dashboards with ‘Shiny’
{report} 0.4.0: Automated Reporting of Results and Statistical Models
{emmeans} 1.7.0: Estimated Marginal Means, aka Least-Squares Means
{knitr} 1.36: A General-Purpose Package for Dynamic Report Generation in R
{ggimage} 0.3.0: Use Image in ‘ggplot2’
{remotes} 2.4.1: R Package Installation from Remote Repositories, Including ‘GitHub’
{httr2} 0.1.1: Perform HTTP Requests and Process the Responses
{caret} 6.0-89: Classification and Regression Training
{TMB} 1.7.22: Template Model Builder: A General Random Effect Tool Inspired by ‘ADMB’
{ztable} 0.2.3: Zebra-Striped Tables in LaTeX and HTML Formats
{tinytex} 0.34: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
{equatiomatic} 0.3.0: Transform Models into ‘LaTeX’ Equations
{tidyr} 1.1.4: Tidy Messy Data
{data.table} 1.14.2: Extension of data.frame
{rcmdcheck} 1.4.0: Run ‘R CMD check’ from ‘R’ and Capture Results
{stockfish} 0.1.3: Analyze Chess Games with the ‘Stockfish’ Engine
{readr} 2.0.2: Read Rectangular Text Data
{RPostgres} 1.4.1: Rcpp Interface to PostgreSQL

Videos and Podcasts

Tutorials

R Project Updates

Updates from R Core:

September 2021 ISC Call for Proposals – Now Open!

Update from the R Contribution Working Group (RCWG):

At the September meeting we discussed ideas put forward in the Idea Incubator 2021, including:
See the minutes for full details and the RCWG repo README for information on how to get involved.
Next meeting Tuesday, October 26, 2021, 20:00-21:00 UTC (find your local time).

Upcoming Events in 3 Months

Events in 3 Months:

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

This is crazy, when assigning using a 1 row matrix index or a vector index give the column of the results a different type!#rstats pic.twitter.com/ZeIFQVK6kd
— Antoine Fabri (@antoine_fabri) October 1, 2021

Even if you know markdown syntax well, sometimes you may wish to generate it algorithmically.

The {md_} function family from {gluedown} 📦 can be of help here 🤖https://t.co/VXXO0Ce3Mu #rstats #DataScience pic.twitter.com/EklzKUpHkB
— R Function A Day (@rfunctionaday) September 29, 2021

The most beautiful Table 1 I've ever made 😍
Thanks to modelsummary by @VincentAB #dataviz #rstats pic.twitter.com/6uJsVEmHiI
— Alexander Wuttke (@Kunkakom) October 2, 2021

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