R Weekly 2021-W35 top 40 packages, R Markdown, colored wold map

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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 Tony ElHabr, with help from the R Weekly team members and contributors.

Highlight

• July 2021: “Top 40” New CRAN Packages

• [R Markdown Advanced Tips to Become a Better Data Scientist & RStudio Connect

  With Tom Mock](https://youtu.be/WkF7nqEYF1E)

• The World’s Countries Colored by Their First Letter

Insights

• Practical Advice for R in Production - Answering Your Questions

• July 2021: “Top 40” New CRAN Packages

• The World’s Countries Colored by Their First Letter

• Caching the results of functions of your R package

• Wrong data quality checks can cost you clients

R in the Real World

• Article extraction, doc2vec & health news coverage in online media

• New Bundesliga Forecasting Tool: Can Underdog Herta Berlin beat Bayern Munich?

• Wildfires Comparison with ggplot2 dual Y-axis and Forecasting with KNN

Resources

• Cheatsheet Updates

New Packages

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

CRAN

• {text2map} 0.1.0: R Tools for Text Matrices, Embeddings, and Networks
• {paws.end.user.computing} 0.1.12: ‘Amazon Web Services’ End User Computing Services
• {paws.developer.tools} 0.1.12: ‘Amazon Web Services’ Developer Tools Services
• {wildviz} 0.1.2: Compiles and Visualizes Wildfire, Climate, and Air Quality Data
• {openSkies} 1.1.4: Retrieval, Analysis and Visualization of Air Traffic Data
• {sClust} 1.0: R Toolbox for Unsupervised Spectral Clustering

GitHub or Bitbucket

• Introducing {smallfactor} - a space-saving factor backed by a raw vector (instead of integers)
• flexo: Simple Lex/Parse Tools in R

Updated Packages

• waldo 0.3.0
• {htmltools} 0.5.2: Tools for HTML
• {hdf5r} 1.3.4: Interface to the ‘HDF5’ Binary Data Format
• {vapour} 0.8.0: Lightweight Access to the ‘Geospatial Data Abstraction Library’ (‘GDAL’)
• {stringi} 1.7.4: Character String Processing Facilities
• {brms} 2.16.1: Bayesian Regression Models using ‘Stan’

Videos and Podcasts

• How to Import Pivoted Excel Data in R: tidyxl, unpivotr

• TidyX Episode 72: Connecting to a databases through {shiny}

• Shiny Developer Series: A learning journey with {brochure}!

• Shiny Developer Series: User-experience refinements for {shinycal}!

• [R Markdown Advanced Tips to Become a Better Data Scientist & RStudio Connect

  With Tom Mock](https://youtu.be/WkF7nqEYF1E)

Tutorials

• Modeling human/computer interactions on Star Trek from #TidyTuesday with workflowsets

• Building an R Markdown website: How to get all your knitted .Rmd files onto a website really fast!

• Labelling area plots

• Bootstrap Standard Error Estimates and Inference

• How to Perform Tukey HSD Test in R

• How to Perform Dunnett’s Test in R

• How to Remove Duplicates in R with Example

• Calculate Geometric Mean in R

• Test For Randomness in R-How to check Dataset Randomness

• Installing an R Build Environment on Solaris - Run R CMD check or devtools::check() on a local Solaris VM

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• satRday Nairobi: Sep. 4, 2021

• 8 reasons to come to EARL Conference online 2021: Sep. 6-10, 2021

• New York R Conference: Sep. 9-10, 2021

• Mastering Git and GitHub: the hands-on workshop: Sep. 22, 2021

• satRday Columbus: Oct. 2, 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! ????

Datasets

• The Guardian’s Football Transfer Data, 2017-18 - 2021-22

Quotes of the Week

By Request @mdsumner

> num_to_words(-2^64)
[1] "negative eighteen quintillion four hundred and forty six quadrillion seven hundred and forty four trillion seventy three billion seven hundred and nine million five hundred and fifty one thousand six hundred and sixteen#RStats pic.twitter.com/xOysQ3D3t3

— mikefc (@coolbutuseless) August 28, 2021

Frankenstein is a cautionary tale about a guy who creates and deploys a decision-making neural network without ethical consideration, then abdicates all responsibility when he realizes how bad his architecture is and that real-world implementation was way messier than expected.

— Caitlin Hudon ????‍???? (@beeonaposy) August 26, 2021

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