R Weekly 2018-21 purrr, furrr

21 May 2018

Highlight

• To purrr or not to purrr

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• furrr - Apply Mapping Functions in Parallel using Futures

• bench - The goal of bench is to benchmark code, tracking execution time, memory allocations and garbage collections.

GitHub or Bitbucket

• fryingpane - Serve datasets from a package inside the RStudio Connection Pane

Package Releases

• getTBinR 0.5.4 - get WHO Tuberculosis data

• icon - web icons for rmarkdown

• sparklyr 0.8 - R Interface to Apache Spark

• inline 0.3.15 - Functions to Inline C, C++, Fortran Function Calls from R

• wrapr 1.4.1 - Wrap R Tools for Debugging and Parametric Programming

• R/exams 2.3-1 - Automatic Generation of Exams in R

R in the Real World

• The Wikidata Concepts Monitor: R in Action Across Big Wikidata

• Throwing Shade at the Cartographer Illuminati: Raytracing the Washington Monument in R

• Adjusting for Batch Effects in the Star Wars Trilogies

• “LMX ot NOSJ!” Interchanging Classic Data Formats With Single blackmagic Incantations

• How the distribution of the popular vote has been shared between Britain’s main political parties since the 1950s

• AphA Scotland - it’s a thing

• Understanding PCA using Stack Overflow data

Resources

• Building a package that lasts — eRum2018 Workshop

• R in Power BI

• Tooling for R package development

Insights

• Rethinking Academic Data Sharing

• Navigating Statistical Modeling and Machine Learning

• To purrr or not to purrr

R in Organizations

• Let me tell you what you missed at BUILD

• Fifteen New Zealand government Shiny web apps

R Internationally

• Como hacer un stat genérico en ggplot2

Tutorials

• tidying old functions - Code samples for introduction the tidyverse to old functions

• Installation to connect Spark and H2O in R

• A Package template to design a prod-ready Shiny application

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

• Introduction to vectorization with code snippet in both R and python

• Reproducing a Bostock d3.js Speciality in ggplot

• Multivariate dot-density maps in R with sf and ggplot2

• General gems of comperes: examples of exported functions from {comperes} package that could be useful for general tasks

• Working with spreadsheets in R

• Benchmark mutate - vector, matrix, data.frame

• PSM Non-Linear Mixed-Effects Modelling using Stochastic DifferentialEquations

• automaton: Interpretation of Automaton Diagrams (Using TikZ)

• Is non-inferiority on par with superiority?

• Sketchnotes from TWiML&AI: Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang

• fruit2: Image-Based Systems of Linear Equations (Single-Choice)

• The design of my logo

• Mind Bytes: Solving Societal Challenges with Artificial Intelligence

• Insert images in blogdown post, static directory, and xaringan

• How to make a generic stat in ggplot2

• Enterprise Dashboards with R Markdown

• Beautiful and Powerful Correlation Tables in R

• logic: Interpretation of Logic Gates (Using TikZ)

• Insert images in blogdown post, static directory, and xaringan

• fruit: Image-Based Systems of Linear Equations (Numeric)

• treeio: Phylogenetic data integration

• drake’s improved high-performance computing power

• Ready Made Plots make Work Easier

• Rstudio + Selenium + AWS: Deep in Docker Hell

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.

More upcoming events the week of May 21 at community.rstudio.com.

More past events at R conferences & meetups.

Call for Participation

• Awesome postdoc opportunities in computational genomics at JHU

Your support will keep R Weekly team moving! 💡

Quotes of the Week

Hear me, oh people! Stop using nested `ifelse()` functions and start using `dplyr::case_when()` !
It's easier AND faster! #rstats #tidyverse

— Zachary Burchill (@zachburchill) May 17, 2018

I was recently asked to give a stats talk in my department on how to analyse zero-inflated count data, which is a common problem in ecology (and especially behavioural ecology). I came up with this flowchart and thought I'd share it in case it's useful for any of you #rstats pic.twitter.com/8zhEzQFuIV

— Natalie Pilakouta (@NPilakouta) May 14, 2018