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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 Wolfram Qin, with help from the R Weekly team members and contributors.

Highlight

• Elegant and informative maps with tmap

• A lightweight data validation ecosystem with R, GitHub, and Slack

• {gitlabr} 2.0 - Communicate with GitLab API from R

R in the Real World

• How to confuse your shareholders by bad data visualization

• Covid Trajectories

• A way of creating clear, transparent, and unified data visualizations

• R User or R Developer? Survey Results

• Exploring Stock Market Listing Mortality since 1986

R in Organizations

• rOpenSci docs are now built on r-universe

• A Latin American R community for HR

R in Academia

• Teaching the tidyverse in 2021

Resources

• rOpenSci News Digest, August 2021

• Elegant and informative maps with tmap

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {gitlabr} 2.0 - Communicate with GitLab API from R

• {mvLSW} 1.2.4: Multivariate, Locally Stationary Wavelet Process Estimation

• {matrixdist} 1.1.3: Statistics for Matrix Distributions

• {geodiv} 1.0.4: Methods for Calculating Gradient Surface Metrics

• {expands} 2.1.3: Expanding Ploidy and Allele-Frequency on Nested Subpopulations

• {bs4cards} 0.1.0: Generate Bootstrap 4 Cards

• {ggseg} 1.6.4: Plotting Tool for Brain Atlases

• {REAT} 3.0.3: Regional Economic Analysis Toolbox

• {hergm} 4.1-8: Hierarchical Exponential-Family Random Graph Models

• {helsinki} 1.0.3: R Tools for Helsinki Open Data

• {splash} 1.0.1: Simple Process-Led Algorithms for Simulating Habitats

• {traitdataform} 0.6.6: Formatting and Harmonizing Ecological Trait-Data

• {simfam} 1.0.2: Simulate and Model Family Pedigrees with Structured Founders

• {Rnvd3} 1.0.0: An Incomplete Wrapper of the ‘nvd3’ JavaScript Library

• {TIGERr} 0.1.0: Technical Variation Elimination with Ensemble Learning Architecture

• {sphunif} 1.0.1: Uniformity Tests on the Circle, Sphere, and Hypersphere

• {isobxr} 1.0.0: Stable Isotope Box Modelling in R

• {LifeInsuranceContracts} 0.0.3: Framework for Traditional Life Insurance Contracts

Updated Packages

• {stringx} 0.2.2: Drop-in Replacements for Base String Functions Powered by ‘stringi’

• {slurmR} 0.5-1: A Lightweight Wrapper for ‘Slurm’

• {RQuantLib} 0.4.13: R Interface to the ‘QuantLib’ Library

• {mlflow} 1.20.1: Interface to ‘MLflow’

• {blogdown} 1.5: Create Blogs and Websites with R Markdown

• {DT} 0.19: A Wrapper of the JavaScript Library ‘DataTables’

• pathfindR 1.6.2: Enrichment Analysis Utilizing Active Subnetworks

Videos and Podcasts

• R’s Internal Data Formats: .Rda, .RData, .rds: Why I prefer .rds and why NOT to rely on a workspace image

• Fit and predict with tidymodels for #TidyTuesday bird baths in Australia

R Internationally

• (Japanese) Google ColabでRパッケージの再インストールを爆速にする

Tutorials

• {emayili} Rudimentary Email Address Validation

• A lightweight data validation ecosystem with R, GitHub, and Slack

• Detecting time series outliers

• Basic R : Read so many CSV files

• Weibull Distribution in R

• The Mockup Blog: Displaying verbatim code chunks in RMarkdown and Xaringan presentations

• Auto-label closing parentheses in RStudio

• A technical interview question

• Create a GitHub issue from a reprex with shrtcts

• PDF editing

• Update to a previous post: cutting multiple rasters with a multi-polygon shapefile

• Subgroup analysis using a Bayesian hierarchical model

• Comparing SQLite, DuckDB and Arrow with UN Trade Data

• Intro to evolutionary algorithms with R for beginners (from scratch) [PART 1]

• Bond Modified Duration in R

• A Visual History of Patent Protection

• Introducing {numberwang} - numbers to words and vice versa)

• RStudio Connect 2021.08.0 Custom Branding

• Announcing Calendar Based Versioning for All Commercial RStudio Products

• How to Perform Tukey HSD Test in R

R Project Updates

Updates from R Core:

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

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

The pre-print version of my book "Analyzing US Census Data: Methods, Maps, and Models in #rstats" is now available to read for free online: https://t.co/48fG6HhhXE. Read on in this thread for an overview of the book's content! pic.twitter.com/US4nt1PBtB

— Kyle Walker (@kyle_e_walker) August 30, 2021