R Weekly 2018-20 Conferences, Excel, Interpretable

14 May 2018

Highlight

• 2018 R Conferences

• tidying messy excel data tidyxl

• In case you missed it: April 2018 roundup

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• Nomisr - Access ‘Nomis’ UK Labour Market Data

• iml - interpretable machine learning

Package Releases

• RcppMsgPack 0.2.2 - MsgPack Headers for R

• RcppGSL 0.3.4 - R to the vector and matrix classes of the GNU GSL

• leaflet 2.0.0 - R and Interactive Maps

R in the Real World

• Harry Potter and competition results with comperes

• Wrangling Data Table Out Of the FBI 2017 IC3 Crime Report

• Twitter’s Myanmar hate machine

Resources

• 2018 R Conferences

• In case you missed it: April 2018 roundup

Insights

• Need for Speed: Benchmarks on Dataframes

• This is what happens when you encode data as cell formatting in Excel

• Teaching and Preaching Tidy Data

R in Organizations

• The social weather of rOpenSci onboarding system

Tutorials

• Installing Missing Packages from Bioconductor, CRAN and Github

• Machine Learning Explained: Vectorization and matrix operations

• Multivariate Dot-density Maps in R with Sf & Ggplot2

• Using quantities to parse data with units and errors

• Introducing the tapir package: Text-based Arbitrary Precision Integers in R

• Deploying a secure Shiny Server and RStudio Server on a free Google Cloud virtual machine

• Data types

• Open-Source Machine Learning in Azure

• Learning Functions

• tidying messy excel data tidyxl

• Exploratory Factor Analysis in R

• 10 PRINT mazes with ggplot2

• Flow charts in R

• Hi-res c64 images with Rstats ‘r64’ package

• Rolling Fama French

• rquery: SQL from R

• the riddle of the stands

• Vim mode in RStudio

• Custom R charts coming to Excel

• Because it’s Friday: Planes, pains, and automobiles

• Challenge: Simultaneous parallel min() and which.min()

• Visual Representation of Complex Multivariate Relationships Using the R Qgraph Package

• Introduction to Machine Learning for non-developers

• Regression with Interaction Terms - How Centering Predictors influences Main Effects

• RStudio:addins part 1. - code reproducibility testing

• Deep Learning from first principles in Python, R and Octave

• Remove password protection from Excel sheets using R

• Coordinate systems in ggplot2: easily overlooked and rather underrated

R Project Updates

Updates from R Core:

• CRAN Policy Change new rev3874

• unlist(x) no longer fails in some cases of nested empty lists.

• Method dispatch uses more relevant environments when looking up class definitions.

Upcoming Events in 3 Months

Events in 3 Months:

• R/Finance 2018 June 1 and 2
  Applied Finance with R.

• CascadiaRConf June 2 Portland, OR, US

• 7eme Rencontres R July 5 & 6
  Rennes - Agrocampus

• useR! 2018 July 10
  The annual useR! conference is the main meeting of the international R user and developer community.

Next Week’s Events:

• UseR Group and R-Ladies Events the week of May 14th.
  There are 23 events in at least 8 countries posted on RStudio Community this week.
  

More past events at R conferences & meetups.

Call for Participation

• Join the r-spatial ladies! There’s a slack channel open to women and non binary folks interested in R for spatial data and a GitHub page with crowdsourced resources.

Your support will keep R Weekly team moving! 💡

Quotes of the Week

Shiny v1.1 (the one with async) is days away from release! Huge changes under the hood--it'd be a big help if you try out your app using devtools::install_github("rstudio/shiny") and let us know if anything breaks! #rstats

— Joe Cheng (@jcheng) May 11, 2018

For all #rstats users like me who are nitpicky about the colour palettes they use in figures: there is a package called "colorspace" which lets you brew your own palette in an interactive window! Even has options to check how its viewed in B&W and by colourblind people. #phdchat pic.twitter.com/JOQpMrDO35

— Jaimi Gray (@jaimiAgray) May 10, 2018

If you’re an academic you need a website so that people can easily find info about your research and publications. Here’s how to make your own website for free in an under an hour using the blogdown package in #Rstats [THREAD] pic.twitter.com/9Lmo00Gkf0

— Dan Quintana (@dsquintana) May 7, 2018

The R package `factoextra` makes it supremely easy to extract and visualize the output of the most common (exploratory) multivariate data analyses (PCA, MFA, etc.):https://t.co/j0IX5HZ2GW

Tons of documentation available at a dedicated website:https://t.co/9DCZScHHjh#rstats pic.twitter.com/oDHjU8qeZq

— Indrajeet Patil (@patilindrajeets) May 8, 2018