R Weekly 2018-36 Slack, Plumber

03 Sep 2018

Highlight

• Slack and Plumber, Part One

• New York R 2018

R in the Real World

• O’Reilly animals in trouble? Conservation status of book covers

• An {rtweet} investigation of a neat Twitter timeline trick. Rock on!

• Rents in Melbourne

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• July 2018: Top 40 New Packages

Package Releases

• future.apply 1.0.1 - Apply Function to Elements in Parallel using Futures

• littler 0.3.4: More updated examples

Videos and Podcasts

• New York R 2018

Tutorials

• Simplify comparative bar charts with compareBars

• Why There is No importFrom() Function in R

• Simplifying World Tile Grid Creation with geom_wtg()

• What, No Parentheses?

• Introducing compareBars: Simplify comparative bar charts

• GNU Make for Data Analysis Workflow Management

• The power of stepped-wedge designs

• Survival Analysis in R

• Moving beyond pattern-based analysis: Additional applications of GeoPAT 2

• What’s this bird? Classify old natural history drawings with R

• Videos from NYC R Conference

• W-JAX 2018 talk: Deep Learning - a Primer

• Playing around with RStudio Package Manager

• Getting started simulating data in R: some helpful functions and how to use them

• R Tip: Put Your Values in Columns

• Slack and Plumber, Part One

• Tips for analyzing Excel data in R

• Transfer data from R to Python with PyRserve and Bio7

• Quantities for R – Ready for a CRAN release

• Make more useless packages!

• Guide to a high-performance, powerful R installation

• Using TinyTeX from a Flash Drive

• Impact: Depth or Breadth?

Upcoming Events in 3 Months

Events in 3 Months:

• Econometrics and Statistics using R Sept 10-14
  Lisbon, Portugal.

• This week’s local R-User and applied stats events

More past events at R conferences & meetups.

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

Today's #rstats discovery I should have made sooner: add_count( ) and add_tally( )! Replace your group_by + count + mutate workflows with this one #dplyr command 🙌 pic.twitter.com/TbLI1GlaCh

— Angela Li (@CivicAngela) August 22, 2018