R Weekly 2020-24 AfricaR/MiR/R-Ladies useR! tutorials, seven American generations, iris

15 Jun 2020

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

Highlight

• AfricaR, MiR Community, and R-Ladies Global work together to bring useR! 2020 tutorials to the whole R community

• the seven living generations in america

• Let’s move on from iris

Insights

• AfricaR, MiR Community, and R-Ladies Global work together to bring useR! 2020 tutorials to the whole R community

• Improvements to Clipping in the R Graphics Engine

• A shiny app to compare mortgage costs

• RStudio is my new Python IDE

• Let’s move on from iris

R in the Real World

• Shiny app to model nonpharmaceutical interventions, e.g. PPE, on COVID-19 in Iowa

• Portfolio simulations

• Code for a dynamic multilevel Bayesian model to predict US presidential elections (The Economist). Written in R and Stan.

• Interactive exploration of COVID-19 exit strategies

• the seven living generations in america

Resources

• Registration form for MiR (“Minorities in R”) slack workspace as a member or ally. MiR Community serves to bring together underrepresented minorities who use R within industry and academia.

• Interactive tutorial version of “R basics: a practical introduction to R” workshop

• Market Analysis Course (Interactive, Free, and with a lot of R)

• cranalerts: Get email alerts when a CRAN package gets updated

New Packages

• ganttrify - A package and shiny app to facilitate the creation of nice-looking Gantt charts, commonly used in project proposals and project management.

• rrapply - An extended version of base-R’s rapply-function with several added features useful for nested list recursion.

• El Greco color palette for R

• Evolve new colour palettes in R with evoPalette

• {whiteboxR}: R frontend of a stand-alone executable command-line program called WhiteboxTools

• {robservable}: Use Observable notebooks (or part of them) as htmlwidgets in R

📦 Go Live for More New Pkgs 📦

CRAN

• {precommit} 0.1.2: pre-commit hooks for R

• {readsdr} 0.1.0: Translate Models from System Dynamics Software into ‘R’

• {datos} 0.3.0: Traduce al Español Varios Conjuntos de Datos de Práctica

• {gretlR} 0.1.0: Knit-Engine for ‘Gretl’

• {gpindex} 0.1.1: Generalized Price and Quantity Indexes

• {ggdist} 2.1.1: Visualizations of Distributions and Uncertainty

• {asciichartr} 0.1.0: Lightweight ASCII Line Graphs

• {AATtools} 0.0.1: Reliability and Scoring Routines for the Approach-Avoidance Task

• {tidygeoRSS} 0.0.1: Tidy GeoRSS

• {semnova} 0.1-5: Latent Repeated Measures ANOVA

• {scoringutils} 0.1.0: Utilities for Scoring and Assessing Predictions

• {Relectoral} 0.1.0: Electoral Analysis

GitHub or Bitbucket

• {logician}: Prolog-style Logic Programming in R

• {nakedpipe}: Pipe Into a Sequence of Calls Without Repeating the Pipe Symbol

• {ssrn}: Scan Statistics for Railway Network

• {vdemdata}: Load, explore and work with the most recent V-Dem (Varieties of Democracy) dataset

• {mapboxapi}: R interface to Mapbox web services

Updated Packages

• {paletteer} 1.2.0

• {binb} 0.0.6

• {RcppArmadillo} 0.9.900.1.0

• {embed} 0.1.0

• Version 0.1.4 of nnlib2Rcpp: a(nother) R package for Neural Networks

• {infer 0.5.2}

• {ggfittext} 0.9.0: Fit Text Inside a Box in ‘ggplot2’

• {circlize} 0.4.10: Circular Visualization

• {rayimage} 0.3.0: Image Processing for Simulated Cameras

Studies

• {immunarch} 0.6.5: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires

• {gwsem} 2.0.5: Genome-Wide Structural Equation Modeling

• {smoothedLasso} 1.3: Smoothed LASSO Regression via Nesterov Smoothing

• {lpSolveAPI} 5.5.2.0-17.7: R Interface to ‘lp_solve’ Version 5.5.2.0

• {locStra} 1.4: Fast Implementation of (Local) Population Stratification Methods

• {gRain} 1.3-5: Graphical Independence Networks

• {xgboost} 1.1.1.1: Extreme Gradient Boosting

• {wikifacts} 0.3.0: Generates Facts Sourced from the Wikipedia Main Page

• {gtsummary} 1.3.2: Presentation-Ready Data Summary and Analytic Result Tables

• {salesforcer} 0.1.4: An Implementation of ‘Salesforce’ APIs Using Tidy Principles

Videos and Podcasts

• Rcpp Webinar Recording Available

• How to create JSON files and then read them into R!

• T^4 #5: More About Byobu

R Internationally

• R Markdownで出力結果を隠せるようにしてみた (minidownパッケージ)

Tutorials

• Exploring xgboost models with {fastshap} in R

• Efficient list recursion with rrapply

• Installation of R 4.0 on Ubuntu 20.04 LTS and tips for spatial packages

• Estimating sample size for precision: precisely 0.1.0

• Introducing ‘xxhashr’ - extremely fast hashing with xxHash

• Generalized Monty Hall problem

• Excel to R #3 - APPROXIMATE VLOOKUP in Excel to FUZZY LEFT_JOIN in R

• Calculating change from baseline in R

• Learning R With Education Datasets

• Le Monde puzzle [#1147]

• Visualizing and interpreting Cohen’s d effect sizes

• When proportional odds is a poor assumption, collapsing categories is probably not going to save you

• Analyse Google Trends Search Data in R using {gtrendsR}

• Mixing Rcpp modules and Rcpp attributes

• Expressing size in bananas a dive into {vctrs}

• Basic {sf} functionality for analyzing and plotting geospatial data

• Wilcoxon test in R: how to compare 2 groups under the non-normality assumption

• Reproduce economic indicators from ‘The Economist’

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• e-RUM, 17th-20th June, virtual conference. Registration open, for free

• 86th TokyoR (Virtual) Meetup: June 27, 2020

• 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

I was today years old when I realised that by using four hashes at the start and at the end of the line you can create code sections. Forever gone are the days of frantic scrolling #rstats pic.twitter.com/mIXCMRZgXj

— Karolina Urbanska (@karo_urb) June 11, 2020

Hi @RStatsJobs , I'm here to make your life easier🛀. Yup, I'm you, but in bot form🤖.
I'm going to retweet and report on available #RStats related positions.
I would really appreciate your RT✌️@rstudio @hadleywickham @juliasilge @ledell @visnut @JennyBryan @RLadiesGlobal

— RStatsJobsBot (@RStatsJobsBot) June 13, 2020