R Weekly 2021-W40 Plumber, Pipes, and Python

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Hello and welcome to this new issue!

Release Date: 2021-10-04

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

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

Highlight

• The Power of Parameterized Reports With Plumber

• Plumbers, chains, and famous painters: The (updated) history of the pipe operator in R

• Creating a Dataset from an Image in R Markdown using reticulate

Insights

• The Power of Parameterized Reports With Plumber

• Plumbers, chains, and famous painters: The (updated) history of the pipe operator in R

• How Tough is That Football Match?

• Use RStudio Cloud for Teaching With Caution

• Running R code for all combinations of some parameters with lapply karate

• Solving Einstein’s Puzzle with Constraint Programming

• F1 Strategy Analysis

• Introducing {cssparser} - parse CSS into R lists and apply CSS to html within R

• Multiclass predictive modeling for #TidyTuesday NBER papers

• How to Use shinyMatrix and plotly Graphs as Inputs in a Shiny App

• Introducing {gozer} add destruction artefacts to R objects

• Q3 2021 tidymodels roundup

• Creating a Dataset from an Image in R Markdown using reticulate

• Analyzing a factorial design by focusing on the variance of effect sizes

• Understanding the Parquet file format

• Post election update: Will the German parliament have a gigantic size?

• Using Microsoft365R with Shiny

• August 2021: “Top 40” New CRAN Packages

R in the Real World

• The Story Behind rspatialdata

R in Organizations

• rOpenSci News Digest, September 2021

• An RStudio Table Contest for 2021

• RStudio 2021.09.0 Update: What’s New

• What’s New on RStudio Cloud - September 2021

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

• How to Document a Function in Your R Package

• How to Import / Export SAS, SPSS, Stata Data in R: haven; Systat, WEKA: foreign

Tutorials

• A step-by-step article for performing ANCOVA in R

• Error in as.Date.numeric(13131) : ‘origin’ must be supplied

• error: JAVA_HOME cannot be determined from the Registry

• Error in character string is not in a standard unambiguous format

• How to Remove Outliers in R

• Error in x[6, ]: subscript out of bounds

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:

  • R Contribution Working Group in LatinR 2021 (and beyond)?

  • Outreach for the R Developer’s Guide

  • Highlighting bugs needing attention

  • Bug barbecue

  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:

• September 2021 ISC Call for Proposals – Now Open!

• November 2-4: R/Pharma Conference 2021

• 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

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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