R Weekly 2021-W46 Zillow, Databases, macOS M1

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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

• Why machine learning hates vegetables (a dialogue about Zillow)

• Should I Move to a Database?

• Transitioning from x86 to arm64 on macOS - experiences of an R user

Insights

• How to Cite R and R Packages

• Should I Move to a Database?

• Transitioning from x86 to arm64 on macOS - experiences of an R user

• How fast is M1?

• Top R Packages for Table Data

R in the Real World

• Why machine learning hates vegetables (a dialogue about Zillow)

• The problem with Bloomberg’s COVID resilience ranking

R in Organizations

• NHS-R Community Conference Recap

• Starting the South Coast MA UseR Group: A first year in review

• Chile’s R Ladies Group is Open and Inclusive

R in Academia

• A close look at some linear model MCMC comparisons

Resources

• A guide to modeling proportions with Bayesian beta and zero-inflated beta regression models

• A guide to correctly calculating posterior predictions and average marginal effects with multilievel Bayesian models

• Data Integration, Manipulation and Visualization of Phylogenetic Trees

  New Packages

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

CRAN

• {testdat} 0.3.0: Data Unit Testing for R

• {surveil} 0.1.0: Time Series Models for Disease Surveillance

• {seasonalityPlot} 0.99.3: Seasonality Variation Plots of Stock Prices and Cryptocurrencies

• {ggpolar} 0.2.0: Dots and Their Connections in Polar Coordinate System

• {hoopR} 1.5.0: Functions to Access Men’s Basketball Play by Play Data

• {shiny.semantic} 0.4.3: Semantic UI Support for Shiny

• {semantic.dashboard} 0.2.1: Dashboard with Fomantic UI Support for Shiny

GitHub or Bitbucket

• {fidelius} 0.0.1: Secure password-protection and in-browser decryption for R Markdown/HTML documents

• {googlePubsubR}: R interface for Google Cloud Pub/Sub REST API

Updated Packages

• Eager vs lazy reading in readr 2.1.0

• simstudy 0.3.0 update: Adding flexibility to data generation

• blogdown v1.6: Support for the config/ Directory, and Improvements in install_hugo()/new_post()

• {sp} 1.4-5: Classes and Methods for Spatial Data

• {sf} 1.0-3: Simple Features for R

• {readr} 2.1.0: Read Rectangular Text Data

• {keras} 2.7.0: R Interface to ‘Keras’

• {tensorflow} 2.7.0: R Interface to ‘TensorFlow’

• {microbenchmark} 1.4.9: Accurate Timing Functions

• {xgboost} 1.5.0.1: Extreme Gradient Boosting

• {tibble} 3.1.6: Simple Data Frames

Videos and Podcasts

• TidyX Episode 82: random forests with tidymodels

• R Tutorial to build Beautiful Artistic Maps with OSM Data

• R in Sports Analytics - Player Tracking Data & Big Data Bowl

• R in Public Sector - A story about Reykjavík’s Thermal Pools

Shiny Apps

• Understanding the variance of the sample variance

Tutorials

• Tutorial: Visualizing Saturn’s Changing Appearance from Earth in R

• Building Code Movies With flipbookr

• Parquet, SQL, DuckDB, arrow, dbplyr and R

• {binance} P2P Trades

• {binance} Spot Trading: Liquidity

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

Jobs

• Associate Principal Scientist, Statistical Programmer, Merck

• Senior Statistical Programmer- Analysis and Reporting Standards, Innovation, Merck

Call for Participation

Your support will keep R Weekly team moving! ????

Quotes of the Week

When should you write comments in your code? Here's a small tip I learned while working with a colleague today...

If you're writing code and you have to ask someone a question to figure out how to make your thing work, then put what you learned in a comment!

— Garrick Aden-Buie (@grrrck) November 10, 2021

???? I think you're missing some badges, pal. I gotchu: https://t.co/LyxjK3LH8G pic.twitter.com/KpFA2jwHZi

— Matt Dray (@mattdray) November 9, 2021

These days of #COP26 I was wondering how wind farms are distributed in Europe, so using data from @openstreetmap I made this map. #rstats #dataviz pic.twitter.com/EkuWI353cb

— Dr. Dominic Royé (@dr_xeo) November 13, 2021

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