R Weekly 2018-14 reticulate, R-Ladies, BotRNot

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Hello and welcome to this new issue!

Highlight

• reticulate: R interface to Python

• R Consortium welcomes R-Ladies as a top level project

• BotRNot: An R app to detect Twitter bots

New Packages

? Go Live for More New Pkgs ?

CRAN

• Feb 2018: “Top 40” New Package Picks

• dynprog - dynamic programming domain-specific language

• ggdag - tidy causal directed acyclic graphs

• realtR - Your gateway to residential property information.

• reticulate - R interface to Python

• DoOR - The Database of Odorant Responses

GitHub or Bitbucket

• mathart: create mathematical art with R

Package Releases

• smoothr 0.0.1 - Spatial Feature Smoothing in R

• auk 0.2.0 - eBird data extraction and processing

• DT 0.4 - Editing Tables, Smart Filtering, and More

Resources

• A titanic kaggle solve using caret and tidy-tools
• CRANalerts - Get email alerts when a CRAN package gets updated

Insights

• Lintr Bot, lintr’s Hester egg

• Global Terrorism

• What’s a variable in R?

• Startup with Secrets - A Poor Man’s Approach

• Which world leaders are twitter bots?

R in Organizations

• R Consortium welcomes R-Ladies as a top level project

R in the Real World

• Building a shinydashboard that features an adapted JAWS statistic for evaluating nominees and members of a MLB franchise’s Hall of Fame

• How to map public debt data with ggplot2

• BotRNot: An R app to detect Twitter bots

R Internationally

• Autoformation avec swirl

Tutorials

• R⁶ — Capturing [YouTube] Captions

• Settlers of Catan

• Exploring NSE: enquo, quos and … - How do you make your customs play well with your favourite tidyverse packages?

• A vignette and introduction to a tiny package that creates node and edge lists for use in working with text and network data. Uses a public dataset as an example.

• What is Tidy Eval and Why Should I Care?

• Exploring Tidy Eval at a Snail’s Pace

• Using tidy eval with dplyr::filter

• Exploring the underlying theory of the chi-square test through simulation - part 2

• Parsing data part 1. The minilexer package - A Simple Lexer in R

• Freeing Educational Data With A Shiny App

• Use let() to Re-Map Names

• Explorations in Markov Chain Monte Carlo (MCMC) - comparing results from MCMCglmm and lme4

• a small chess plotting package for R :)

• Unstandardizing coefficients from a GLMM

• a null hypothesis with a 99% probability to be true…

• Generate image captions with the Computer Vision API

• Use Lists to re-Map Values

• Use Named Vectors to Re-Map Values

• Great Circles with R

• Discriminant Analysis: Statistics All The Way

• Steps to Perform Survival Analysis in R

• Data Visualization Website with Shiny

• Adding arguments to existing R functions, or A Weirdly Esoteric Thing I’ll Probably Never Do Again

R Project Updates

Updates from R Core:

• match.arg() more carefully chooses the environment for constucting default choices, fixing PR#17401 as proposed by Duncan Murdoch.

• optim(*, control = list(warn.1d.NelderMead = FALSE)) allows to turn off the warning when applying the default "Nelder-Mead" method to 1-dimensional problems.

Upcoming Events in 3 Months

Events in 3 Months:

• New York R conference Aprl 20-21
  New York R conference, Discount Code : rladies

• eRum 2018 May 14-16
  European R Users Meeting @ Budapest, Hungary

• R/Finance 2018 June 1 and 2
  Applied Finance with R.

• CascadiaRConf June 2 Portland, OR, US

More past events at R conferences & meetups.

Call for Participation

Your support will keep R Weekly team moving! ?

Quotes of the Week

using #Python and #rstats in the same RMarkdown document is pretty awesome with the Reticulate Package. Objects from Python are accessible in R using the magic `py` object. Pretty amazing, imo. pic.twitter.com/iQPqWuJ4RN

— JD Long (@CMastication) March 28, 2018

devtools: my life coach #rstats pic.twitter.com/65OpAOHM26

— Max Kuhn (@topepos) March 31, 2018

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