R Weekly 2021-W29 Simulation-based science, custom fonts, wrapping errors

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Hello and welcome to this new issue!

Release Date: 2021-07-20

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

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

Highlight

• How to become a better R code detective?

• Setting up and debugging custom fonts: a practical introduction to all (new) things font in R

• Make error messages your own

Insights

• Simulation-based Science: Breaking Boundaries
• COUNTIF Function in R
• Little useless-useful R functions – Colourful ggplot line graphs

• Multinomial but unique
• Introducing {ingrid} - alternate tools for grab creation, manipulation and output
• R Consortium Diversity & Inclusion – Speaker Nomination
• Introducing ‘sars’ - proof-of-concept for running ‘SAS’ DATA and PROC SQL statements in R
• Cleaning up forked GitHub repositories with {gh}
• Predict which #TidyTuesday Scooby Doo monsters are REAL with a tuned decision tree model
• Make error messages your own
• Visualizing topic models with crosstalk
• How to become a better R code detective?
• New package katex: rendering math to HTML and MathML in R
• {gitShiny}: Creating a Shiny app as a tool for Learning Git
• Little useless-useful R functions – Is it raining yet?
• Euler Coding Challenge: Build Maths’ Most Beautiful Formula in R
• Shiny, Tableau, and PowerBI: Better Business Intelligence
• UseR2021: Integrating R into Production
• GooglyPlusPlus2021 adds new bells and whistles!!
• Do email templates reduce my workload?
• Polished summary tables in R with gtsummary

• Introducing the incidence2 package

R in Organizations

• Intro to R course by Fabio Votta

• A CEO’s View of Open Source Data Science in the Enterprise

New Packages

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

CRAN

• {RstoxData} 1.2.1: Tools to Read and Manipulate Fisheries Data
• {tsentiment} 0.1.0: Fetching Tweet Data for Sentiment Analysis
• {shinyToastify} 1.0.0: Pretty Notifications for ‘Shiny’
• {rbedrock} 0.1.0: Analysis and Manipulation of Data from Minecraft Bedrock Edition
• {tRnslate} 0.0.3: Translate R Code in Source Files
• {starter} 0.1.4: Starter Kit for New Projects
• {rstudio.prefs} 0.1.4: Set ‘RStudio’ Preferences
• {mcglm} 0.7.0: Multivariate Covariance Generalized Linear Models

Updated Packages

• {ttdo} 0.0.7: Micro-tweak
• {RcppArmadillo} 0.10.6.0.0: A New Upstream
• {FSA} 0.9.1: Simple Fisheries Stock Assessment Methods
• {cli} 3.0.1: Helpers for Developing Command Line Interfaces
• {dotwhisker} 0.7.0: Dot-and-Whisker Plots of Regression Results
• {fishmethods} 1.11-2: Fishery Science Methods and Models
• {yum} 0.1.0: Utilities to Extract and Process ‘YAML’ Fragments
• {bs4Dash} 2.0.1: A ‘Bootstrap 4’ Version of ‘shinydashboard’
• {shinydashboardPlus} 2.0.2: Add More ‘AdminLTE2’ Components to ‘shinydashboard’
• {stringi} 1.7.3: Character String Processing Facilities
• {grattan} 1.9.0.9: Australian Tax Policy Analysis
• {do} 1.9.0.0: Data Operator
• {ausplotsR} 1.2.6: TERN AusPlots Analysis Package
• {sever} 0.0.7: Customise ‘Shiny’ Disconnected Screens and Error Messages
• {readtext} 0.81: Import and Handling for Plain and Formatted Text Files
• {ranger} 0.13.1: A Fast Implementation of Random Forests
• {vroom} 1.5.3: Read and Write Rectangular Text Data Quickly
• {rtables} 0.3.8: Reporting Tables
• {csv} 0.6.1: Read and Write CSV Files with Selected Conventions
• {BayesTools} 0.1.1: Tools for Bayesian Analyses
• {styler} 1.5.1: Non-Invasive Pretty Printing of R Code

Videos and Podcasts

• Shiny Developer Series episode 22: A fresh coat of Shiny theming with Carson Sievert

• How to Successfully Manage Your R Environment Webinar

R Internationally

• ashton ????????

• Cómo maniuplar mensajes de error ????????

Tutorials

• How to Create a Covariance Matrix in R

• How to Convert a List to a Dataframe in R – dplyr

• Setting up and debugging custom fonts: a practical introduction to all (new) things font in R

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• How to Successfully Manage Your R Environment Webinar

• 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

HUH! Just found out that … works in R's lambda notation

f <- \(...) paste(..., sep=", ")

> f("apples", "oranges", "bananas")
[1] "apples, oranges, bananas"

I don't know why this was so surprising to me.

— Mikhail Popov (@bearloga) July 19, 2021

???????? For the past few days I've been working on an analogy to teach @hadleywickham and @_lionelhenry's {rlang} package for #RStats students. How did I do? ... pic.twitter.com/2UQMU5QktD

— C. Lente (@clente_) July 19, 2021

If you love plots produced by {easystats} ????s, you should check out the {see} ????, which is the power house that produces these plots! ????‍???? https://t.co/iOIFxuxr88

It also has probably one of the richest collections of statistical visualizations in #rstats! ????#dataviz #phdchat pic.twitter.com/fNWDG44IEG

— easystats (@easystats4u) July 18, 2021

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