R Weekly 2018-5 Interview, DataFramed

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Hello and welcome to this new issue!

Highlight

• Interview with Roger Peng

• DataFramed DataCamp’s official podcast. Presented by Hugo Bowne-Anderson. launched with 6 episodes.

Videos and Podcasts

• Video record of pdxrlang meetup: Andrew Bray and Chester Ismay - infer: a package for tidy statistical inference

• DataFramed DataCamp’s official podcast. Presented by Hugo Bowne-Anderson. launched with 6 episodes.

• Topic modeling with R and tidy data principles

• NSSD No.52：Expense Reporting Masterpiece - Hilary and Roger welcome the new year by discussing Excel (again), why talking to people who generate data matters, meditation and neuroscience, and trust vs. quality in data analysis.

R in the Real World

• The game is afoot! Topic modeling of Sherlock Holmes stories

• Streets of Helsinki

• Please like me (scraping the web)

• Looking at heat-related 311 reports in Boston homes

• The Postmortem Airtime effect: Which artist beat The Cranberries in air time after the news broke of his/her death?

• Where did my ancestors live?

• Defiblocator - Crowd Sourced and Community Maintained Defibrillator Locations using R

• Exploring lime on the house prices dataset

• Tidy Text Mining Beer Reviews

Insights

• Interview with Roger Peng

• Imposterism in Data Science: Addressing the credentials problem

• A set.seed() + ggplot2 adventure

• How to recruit data analysts for the public sector

• Ecology Hackathon at Ecology Across Borders 2017

• Can (a==1 && a==2 && a==3) ever evaluate to true?

• Educational Distrust — Empathetic Interactions with Reluctant or Combative Learners

• Ending the Terror of R Errors

• Geocomputation with R - the intermission

• Wrangling Data Day Texas Slides

 R in Academia

• Wealth Inequality Exercise

New Packages

? Go Live for More New Pkgs ?

CRAN

• rsMove - Supporting animal movement ecologist in handling remote sensing data and in combining it with animal movement data.

• Dec 2017: “Top 40” New Package Picks

GitHub only

• knitrProgressBar - Provides a progress bar that can write to a variety of locations, including stdout, stderr, or a file. Useful when using knitr or rmarkdown::render and you still want to see progress of calculations in the terminal.

Package Releases

• listenv 0.7.0 - List environments are environments that have list-like properties. Now with copy-free dropping of elements and convient setup of listenv matrices and arrays.

• srvyr 0.3.0 - srvyr is a wrapper around the survey package that lets you analyze complex survey data using dplyr’s grammar. It’s been updated to use dplyr’s new non-standard evaluation style and have faster and less buggy database support.

• cleanNLP 2.0.3 - cleanNLP is designed to make it as painless as possible to turn raw text into feature-rich data frames. The updated version includes a new backend (udpipe) for part of speech tags and parsing with no external dependencies. See the cleanNLP 2.0: Quickstart Guide for more details.

• Rcpp 0.12.15 - Numerous tweaks and enhancements

• Rblpapi 0.3.8 - Rblpapi provides a direct interface between R and the Bloomberg Terminal

• vtreat 1.0.2 - A Statistically Sound ‘data.frame’ Processor/Conditioner

• prrd 0.0.2 - Parallel Running [of] Reverse Depends

Resources

• Slides for an introductory workshop on using R as a Geographic Information System (GIS) for manipulating and visualizing spatial data (maps).

R Internationally

• Spanish: Mapping and analyzing taxi trips data with R, finding evidence of foul play (dplyr, ggplot, sf)

Tutorials

• Galentine’s day cards

• General Linear Models: The Basics

• Reversing the order of a ggplot2 legend

• Getting Going with Blogdown & Hugo

• Use git to Blog(down) About Your Projects

• Visualizing trigrams with the Tidyvers

• Exploring handwritten digit classification: a tidy analysis of the MNIST dataset

• Analyse #trend Twitter Data With rtweet Package from R

• A gRadual Introduction to Shiny

• R-Ladies Presentation Ninja: use the R-Ladies theme for slides made in R Markdown with the xaringan package

• A tutorial post on building a drag and drop data input interface using shiny and R

• A shiny application to explore student and teacher diversity in California

• Stochastic Shakespeare: Sonnets Produced by Markov Chains in R

• Download and Analyse #trend in twitter. Tutorial on rtweet package from R

• Analyze a Luxembourgish fable called Renert

• Fun little machine learning adventure/tutorial to predict winners of the TV show ‘Drop the Mic’

• The ggplot2 categorical variable order is controlled by factor level order. This brief blog post shows you how to re-order this for flipping the order of ggplot scatterplot

• learn how to analyze animal movement and remote sensing using #rstats - #AniMove summerschool www.animove.org

• Programmatically generate and save ggplot outputs to be used as image data to train neural networks for binary classification with Keras/TensorFlow

• A summary of getting started with hugo via blogdown, using github pages.

• Article on implementing Deep learning in R using Keras and tensorflow packages for R.

• Machine learning exercise using R, the goal of which was to generate a prediction model based on the data collected by the human activity recognition research.

• Which members of the European Parliament receive a number of RT and “favorite” that is disproportionate to the number of their seats?

• Using purrr and modelr to bootstrap non-linear regressions to visualise uncertainty of predictions and calculate confidence intervals of estimated and derived parameters.

• This post describes a possible workflow of developing shiny apps inside Docker containers, complete with continuous integration and testing.

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

• Cartographic Explorations of the OpenStreetMap Database with R

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

• Data Driven DIY

• Wrapping Access to Web-Services in R-functions.

• Advisory on Multiple Assignment dplyr::mutate() on Databases

• Which country spends best on healthcare?

• #15: Tidyverse and data.table, sitting side by side … (Part 1)

• The Postmortem Airtime Effect

• How to recruit data analysts for the public sector

• Visualize your Strava routes with R

• Some datasets for teaching data science

• A break from our regular programming

• Predicting Fraud with Autoencoders and Keras

• Mapping election observation globally

• Data Driven DIY

• Small multiple charts for length frequency distribution

• nodbi: the NoSQL Database Connector

• Speed up simulations in R with doAzureParallel

• The Friday #rstats PuzzleR : 2018-01-26

• R Function for Simulating Gaussian Processes

• Parametric Functional Approximate Bayesian (PFAB) algorithm

• Install RGtk2 From Source on macOS

• Analyzing rtweet data with kerasformula

• Geocomputation with R - the intermission

• Where did my ancestors live?

Gist & Cookbook

• Fundamentals of Data Visualization

• R port of the Leaflet.Terminator.js plugin to show day / night regions on a map

R Project Updates

Updates from R Core:

• parallel::detectCores(logical = FALSE) should be more reliable on multi-CPU Linux systems, especially with virtualized OSes.

• is.na(NULL) no longer warns. (PR#16107)

• By default, packages are now byte-compiled on installation.

• POSIXt objects can now also be rounded or truncated to month or year.

• stopIfnot() is a new alternative to stopifnot(), nicer to use when testing several expressions in one call.

• By default, packages are now byte-compiled on installation.

• configure will use pkg-config to find the flags to link to jpeg if available (as it should be for the recently-released jpeg-9c and libjpeg-turbo). (This amends the code added in R 3.3.0 as the module name in jpeg-9c is not what that tested for.)

Upcoming Events

• 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.

Jobs

• Data scientist/predictive modeler at growing media company (Germany)

Call for Participation

• 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

Thanks, On CRAN now.#rstats https://t.co/EC2kPio7ex

— Doctorb Zhian N. Kamvar (@ZKamvar) 24 de gener de 2018

#rstats folk: as hinted at abt 45d ago, tag ur GH repos r | rstats | &topic-specific ones (I think @ropensci is watching for task views too) https://t.co/Qvxm4rR1f7

— b❄️B Rudis (a.k.a. hrbrcoin) (@hrbrmstr) 23 de gener de 2018

Very excited to announce my latest project, a book on data visualization. Approximately half of the book is written, and all completed chapters are now available as online preview. #rstats #datavizhttps://t.co/PFHFJtkmwO pic.twitter.com/gn1lAGZ21i

— Claus Wilke (@ClausWilke) 23 de gener de 2018

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