R Weekly 2018-21 purrr, furrr
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Hello and welcome to this new issue!
Highlight
New Packages
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
Throwing Shade at the Cartographer Illuminati: Raytracing the Washington Monument in R
“LMX ot NOSJ!” Interchanging Classic Data Formats With Single blackmagic Incantations
Resources
Insights
R in Organizations
R Internationally
Tutorials
tidying old functions - Code samples for introduction the tidyverse to old functions
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
PSM Non-Linear Mixed-Effects Modelling using Stochastic DifferentialEquations
automaton: Interpretation of Automaton Diagrams (Using TikZ)
fruit2: Image-Based Systems of Linear Equations (Single-Choice)
Mind Bytes: Solving Societal Challenges with Artificial Intelligence
Insert images in blogdown post, static directory, and xaringan
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 - AgrocampususeR! 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
Quotes of the Week
Hear me, oh people! Stop using nested `ifelse()` functions and start using `dplyr::case_when()` !
— Zachary Burchill (@zachburchill) May 17, 2018
It's easier AND faster! #rstats #tidyverse
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
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