R Weekly 2018-4 First Package, Whole Game, Imposterism

22 Jan 2018

Highlight

• dsmartr: My first R package, and some thoughts on learning to code

• Whole game - Briefly showing the “whole game” of data analysis.

• rOpenSci community calls: recordings, notes and blog posts from past community calls on various R and R community topics.

• Curb your imposterism, start meta-learning

Insights

• Registration and talk proposals now open for useR!2018

• Why you should use Linux for Data Science and R

• dsmartr: My first R package, and some thoughts on learning to code

• 5 Things I Learned Making a Package to Work with Hydrometric Data in R

• Nothing Feels Better Than Someone Else Answering Questions For You

• Screenshots Can Be Helpful, But Only Text Can Be Copied And Executed

• Imposter Syndrome in Data Science

• Curb your imposterism, start meta-learning

• Back To The DT Package After Two Years

R in the Real World

• Bitcoin (World Map) Bubbles

• Which civil and political rights do countries violate? Analyzing 40 years of treaty complaints

• Exploring Global Trends in Tuberculosis Incidence Rates - with GetTBinR

• Nylon Calculus: How have team offensive play types changed?

• Exploring Japan’s Postwar Economic Miracle with gganimate, tweenr, & highcharter!

• My Ancestors’ Longevity

• Self-driving cars and the impact of Motor Accidents on Mortality – The Case of South Africa

• Where did the most crashes involving bikes occur?

• Creating an interactive map of Canadian election results from messy data

• UFO Sightings Analysis

• The Friday #rstats PuzzleR : 2018-01-19

R in Organizations

• Recap of rOpenSci’s ozunconf – October 2017 in Melbourne

• Registration and talk proposals now open for useR!2018

 R in Academia

• diceR: an R package for class discovery using an ensemble driven approach

• Policy on Publishing Code: Encouraging Good Practice to Ensure Quality

• Reproducible, flexible and high throughput data extraction from primary literature: The metaDigitise R package

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• tinytex - A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live

• future.apply - Apply Function to Elements in Parallel using Futures. Use future_lapply() and future_sapply() to lapply() and sapply() sequentially, in parallel, distributed on local/remote cluster, via HPC scheduler, using the exact same R code everywhere. Works on Linux, macOS, and Windows.

• greta - Simple and scalable statistical modelling in R.

• palmtree - Partially Additive (Generalized) Linear Model Trees

• model4you - Stratified and Personalised Models Based on Model-Based Trees and Forests

• MCMCvis - Check your prior posterior overlap (PPO) – MCMC wrangling in R made easy

GitHub only

• adventr - an R package for An Adventure in Statistics

• offensiveR - R package that checks for offensive words in texts and documents

• cividis - Implementation of the Matplolib ‘viridis’ color map in R.

• read.so - Read Tables from Stack Overlow Questions into R.

• qualtRics - Download qualtrics survey data directly into R!

• markovifyR - Markovify wrapper for R.

Package Releases

• opencage 0.1.4: Tool for accessing the OpenCage API, which provides forward geocoding (from placename to longitude and latitude) and reverse geocoding (from longitude and latitude to placename).

• bcmaps 0.17.0 - New open data layer, British Columbia cities & other improvements.

• text2vec 0.5.1 - Fast vectorization, topic modeling, distances and GloVe word embeddings in R

• RcppMsgPack 0.2.1 - MsgPack Headers for R

• digest 0.6.14 - digest provides hash function summaries for GNU R objects

• Microsoft R Open 3.4.3

Videos and Podcasts

• Whole game - Briefly showing the “whole game” of data analysis.

Resources

• rOpenSci community calls: recordings, notes and blog posts from past community calls on various R and R community topics.

• R Shiny application to scrape payments to governments reports data from PDF files, based on rOpenSci tabulizer Tabula R package

• A Shiny interactive web application to quantify how robust inferences are to potential sources of bias (sensitivity analysis)

• Bingo card generator

R Internationally

• Taxis en Buenos Aires: mapas claros y negocios turbios

Tutorials

• RStudio Server On A Chromebook

• Deviance Information Criteria

• Create World Pixel Maps in R

• Building a Daily Bitcoin Price Tracker with Coindeskr and Shiny in R

• Comparing Google Search Console queries with Google’s Cloud Natural Language API

• Animated US snowfall map

• Can’t Stop at 21: Twitter Recipe #22 — Tying Up Loose Threads

• Simulate! Simulate! - Part 1: A linear model

• Gutenberg Text Mining Practice

• Hire Me (as a Data Scientist!), Part I

• A guide to GPU-accelerated ship recognition in satellite imagery using Keras and R (part I)

• Shiny app: calculating your hourly rate as a consultant

• How we made that net neutrality clickstream diagram

• Basic Time-Series Analysis, the Game

• Mapping a list of functions to a list of datasets with a list of columns as arguments

• Services and tools for building intelligent R applications in the cloud

• Framework for Troubleshooting

• Setting up RStudio Server quickly on Amazon EC2

• RStudio Addin Manager

• Base R can be Fast

• Why you should use Linux for Data Science and R

• Combining the new {rtweet} and {tidytext}

• How to make your machine learning model available as an API with the plumber package

• Extracting data from Twitter for @hrbrmstr’s #nom foodie images

• A simple way to set up a SparklyR cluster on Azure

• fulltext v1: text-mining scholarly works

• Data Reshaping with cdata

• A Shiny interactive web application to quantify how robust inferences are to potential sources of bias (sensitivity analysis)

• Importance sampling adds an interesting twist to Monte Carlo simulation

• Migrating from Xcelsius Dashboards on a Budget

• Queueing Theory Notation

• Package Management for Reproducible R Code

• Drilling into non-rectangular data with purrr

• Exploring Sentiment Analysis

• Sketchnotes from TWiML&AI #92: Learning State Representations with Yael Niv

• Because it’s Friday: Principles and Values

• Teaching Shiny

• The Data Analyst as Wanderer: Pre-Exploratory Data Analysis with R

• Visualizing effects of a categorical explanatory variable in a regression

R Project Updates

Updates from R Core:

• aggregate(<data.frame>, drop=FALSE) no longer calls the function on parts, and rather sets corresponding results to `NA`.

• mclapply(X, mc.cores) now follows its documentation and calls lapply() in case mc.cores = 1 also in the case mc.preschedule is false.

Upcoming Events

• R, vous avez dit R ? — Breizh Data Club Meetup, January 24th.

• rOpenSci Community Call - Writing Packages to Support Research Communities - zoon & greta January 30th (January 31 for Australia)

• 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.

Datasets

• Gitential Datasets for Open Source Projects

• New monthly dataset shows where people fall into Wikipedia rabbit holes

Jobs

• Job opening at ThinkR (France)

Call for Participation

• Advancing computational and data literacy skills schools for life scientists: A five day course, 4-8th June 2018, Application deadline: 20 March 2018, Cost: £400 per student (including 5 nights accommodation in London, travel allowance, breakfast, lunch and tea/coffee)

• satRday Cape Town 2018 - Call for papers

• eRum 2018 May 14-16, Budapest, Hungary - Call for papers

• R/Finance 2018: Call for Papers : June 1 and 2, 2018 - University of Illinois at Chicago

• LatinR - Conferencia Latinoamericana sobre Uso de R en Investigación + Desarrollo, 3 al 7 de septiembre de 2018, Buenoes Aires, Argentina

Your support will keep R Weekly team moving! 💡

Quotes of the Week

"I guess that function is still missing from my 'R-senal' "#rstats #phdlife

— Ellen Chenoweth (@HungryHumpbacks) 13 de gener de 2018

That I can just look up '<difficult thing I have no idea how to do> tutorial in R' and find like 8 in-depth blog posts makes me confident #rstats is the best.

— danny (@dataframing) 16 de gener de 2018

I still can’t get over the fact that my province publishes #rstats packages on CRAN and has 243 @github repos. https://t.co/DjU066CuSf

— Jenny Bryan (@JennyBryan) 19 de gener de 2018

#RStats #tidyverse
I'm currently gathering all the pieces of code I have scattered other the web into a "purrr cookbook".
Are there any specific receipes you'd like see in it? pic.twitter.com/4n4EkRbedm

— Colin Fay (@_ColinFay) 19 de gener de 2018

I’ve been working on a style guide for #rstats error messages at https://t.co/BENuYtGtrL — we’ll be using this for new messages and slowly updating existing across the tidyverse. Hopefully also useful for your own code!

— Hadley Wickham (@hadleywickham) 20 de gener de 2018