R Weekly 2017-49 Census, Africa, dplyr, styler

04 Dec 2017

Highlight

• Combining Australian Census data with the Same Sex Marriage Postal Survey in R

• R in Africa

• A domain specific language for efficient data reformation in R. - dplyr design notes

• styler - non-invasive pretty-printing of R source code

Insights

• A reactive build system - lazyr design doc

• A domain specific language for efficient data reformation in R. - dplyr design

• What are your favorite Rstudio addins?

• Some new time series packages

• rOpenSci Analysis Best Practice Guidelines

• R in Africa

• A two-stage workflow for data science projects

• Enhancing Reproducibility and Collaboration via Management of R Package Cohorts

• #11: (Much) Faster Package (Re-)Installation via Caching

R in the Real World

• Combining Australian Census data with the Same Sex Marriage Postal Survey in R

• Secret Santa is a graph traversal problem

• Our Blue Planet

• Any Joke’s left in Belgium?

• Hosting RStudio Server on Azure

• Gender Diversity Analysis of Data Science Industry using Kaggle Survey Dataset in R

• Phillips curve in the United States

• Sentiment Analysis of “A Christmas Carol”

• Rcpp now used by 1250 CRAN packages

• Analysing iOS App Store iTunes Reviews in R

• Visualising SSH attacks with R

• Using ANN To Predict Euthanasia in Louisville Metro Animal Services Animal (LMAS) Intake

R in Organizations

• Website of R Foundation taskforce on women and other under-represented groups

• Announcing a New rOpenSci Software Review Collaboration

• R/Finance 2018, Chicago June 1-2

New Packages

📦 Go Live for More New Pkgs 📦

• voteogram - U.S. House and Senate Voting Cartogram Generators

• whereport - Retrieve geographical information for airports using IATA codes

• dbplot - Simplifies plotting of database and sparklyr data

• Rokemon - Pokemon themed R package

• NLMR - Simulate neutral landscape models with R

• styler - non-invasive pretty-printing of R source code

• icon - R package to easily insert web icons to RMarkdown

Package Releases

• R 3.4.3 released

• RStudio Connect 1.5.10

• rfoaas 1.1.1 - Updated and extended

Tutorials

• Diffusion/Wiener Model Analysis with brms – Part I: Introduction and Estimation

• Image Processing and Manipulation with magick in R

• Making R Code Faster : A Case Study

• Tidy word vectors, take 2!

• Animate network data

• Building the oomsifyer (how to add a dancing banana to any picture)

• changes: easy Git-based version control from R

• CVXR: An R Package for Disciplined Convex Optimization

• MICE (Multiple Imputation by Chained Equations) in R - sketchnotes from MünsteR Meetup

• Vectorized Block ifelse in R

• Win-Vector LLC announces new “big data in R” tools

• A Crazy Little Thing Called {purrr} - Part 2 : Text Wrangling

• How to generate a Secret Santa list with R

• The Value of Welcome, part 2: How to prepare 40 new community members for an unconference

• Rule Your Data with Tidy Validation Reports. Design

R Project Updates

Updates from R Core:

• as.matrix(dd) now works when the data frame dd contains a data frame as column.

• Sys.timezone() tries more ways on Unix-alikes and so is more likely to succeed (especially on Linux).

• str(x) for atomic objects x now treats both cases of is.vector(x) similarly, and hence much less prints "atomic". This is a slight non-back compatible change producing typically both more informative and shorter output.

• R CMD INSTALL <pkg> now produces the intended error message when, e.g., the LazyData field is invalid.

Upcoming Events

• RStudio conf 2018 January 31 to February 3
  rstudio::conf is about all things R and RStudio!

• satRday Cape Town 2018 March 17
  satRday Cape Town

More past events at R conferences & meetups.

Call for Participation

• satRday Cape Town 2018 - Call for papers

Your support will keep R Weekly team moving! 💡

Quotes of the Week

The usethis package implements this important principle: Automate that which can be automated. Your computer was literally born to implement rote-but-fussy stuff for you. https://t.co/OfIUzSBlc7

— Jenny Bryan (@JennyBryan) 28 de novembre de 2017

.@robinson_es: "Part of why I wrote this post is I believe those who are privileged–whether by having a data science job, getting to go to conferences, or having a formal education in programming or statistics–should try to share that through public work." 💯👏 https://t.co/POmlNTza7m

— Maëlle Salmon 🐟 (@ma_salmon) 1 de desembre de 2017

Cite R packages. For a lot of us, it's our only form of payment! #rstats https://t.co/jpYf1E6ICN

— Mike Kearney📊 (@kearneymw) November 30, 2017