R Weekly 2021-11 Time series, Stock scraping, Knitr options

15 Mar 2021

• How to have (my) content shared by R Weekly?

This week’s release was curated by Robert Hickman, with help from the R Weekly team members and contributors.

Highlight

• Introductory time series forecasting with torch

• Daily Stock Gainers Automated Web Scraping in R with Github Actions

• Default knitr options and hooks

Insights

• Default knitr options and hooks

• On ‘on.exit()’

• On ‘on.exit()’ - Part 2

R in the Real World

• EARL 2021 - Why you should submit an abstract

R in Organizations

• XLConnect on Mirai Technologies

• rOpenSci Statistical Software Testing and Peer Review - Community Call Summary

Shiny

• Running pace calculator in R Shiny

Resources

• A comprehensive list of introductory machine learning tutorials with complete R codes provided in each tutorial.

• Exploring policy through numbers, data and visualization.

• Upcoming Why R Webinar - Data Optimisation Network

• v0.3.0 released on Github. Adds “scribble” for drawing and writing on xaringan slides, and “search” for searching through slide text

• A few tips for development of R packages

• Windows/UTF-8 Toolchain and CRAN Package Checks

• Manage dependencies with renv

• https://thierrymoudiki.github.io/blog/2021/03/12/python/explainableml/teller-xgboost

• Making Extra Great Slides

• Introductory time series forecasting with torch

• torch time series continued: A first go at multi-step prediction

• RStudio Professional Drivers 1.7.0

• Upcoming Why R Webinar - Tabular reporting with the flextable package

• Cheat Sheets

• Considerations for the pattern-based spatial analysis

• Lessons Learned Applying Tangram on Visium Data

• Building a Model in R to Predict FPL Points

• Seasonal Adjustment of Multiple Series

• R-Ladies styled code gifs with xaringan and flipbookr

• Creating a book manuscript using {bookdown}

• Activate sigmoid!

• Windows/UTF-8 Toolchain and CRAN Package Checks

• BI and Open Source Data Science: Strengths and Challenges

• v0.3.0 released on Github. Adds “scribble” for drawing and writing on xaringan slides, and “search” for searching through slide text

• A few tips for development of R packages

• Windows/UTF-8 Toolchain and CRAN Package Checks

• Manage dependencies with renv

• Little Inline Color Boxes

• https://thierrymoudiki.github.io/blog/2021/03/12/python/explainableml/teller-xgboost

• Making Extra Great Slides

• Introductory time series forecasting with torch

• torch time series continued: A first go at multi-step prediction

• RStudio Professional Drivers 1.7.0

• Upcoming Why R Webinar - Tabular reporting with the flextable package

• Cheat Sheets

• Considerations for the pattern-based spatial analysis

• Lessons Learned Applying Tangram on Visium Data

• Building a Model in R to Predict FPL Points

• Seasonal Adjustment of Multiple Series

• R-Ladies styled code gifs with xaringan and flipbookr

• Creating a book manuscript using {bookdown}

• Estimating pi using the method of moments

• From multinomial regression to binary classification on some siamese data

New Packages

📦 Go Live for More New Pkgs 📦

• rumpel - manipulate objects by their names (github.com)

Updated Packages

• rvest 1.0.0

• Teams support in Microsoft365R

• RcppArmadillo 0.10.2.2.0 on CRAN: New Upstream Patch Release

• {emayili:0.4.6} Attachments with UTF-8 Filenames & Setting Sender

• {tidyUSDA} Version 0.3.1 Is Now Available

Videos and Podcasts

• Shiny Developer Series Episode 19: Climbing the Ladder of Shiny Mastery with Hadley Wickham

• Speeding up plot creation can be as simple as specifying the ragg device within ggsave!

• Automate Web Scraping in R with Github Actions

• Why R? Webinar 039 - D. Gohel - officeverse : Creating Word and PowerPoint documents with R

R Internationally

• Análisis de encuestas con R - Survey Analysis with R, Universidad de Salamanca

• سلسلة تحليل بيانات كورونا بإستخدام لغة الآر

Tutorials

• k-Means 101: An introductory guide to k-Means clustering in R

• Exploring Python & R code with {reticulate} to do supervised dimensionality reduction with Random Forests (RF) and Uniform Manifold Approximation and Projection (UMAP)

• Protected: DataCoaster Tycoon: Building 3D Rollercoaster Tours of Your Data in R with rayrender

• Collaboration, version control and learning to commit

• Daily Stock Gainers Automated Web Scraping in R with Github Actions

aRt

This is. Bathymetry of the Baltic Sea. Here it is in monochrome.#rayshader adventures, an #rstats tale https://t.co/RIxJnGXQ2e pic.twitter.com/zrG9XpjsaZ

— flotsam (@researchremora) March 12, 2021

My accidental #rstats art is going up on the office wall! Big day! pic.twitter.com/5rZV1vEo8g

— Mike Kearney📊 (@kearneymw) March 10, 2021

A simple script to make a collage of two random photos from Unsplash, powered by {magick} and {ggfx}#Rstats code: https://t.co/UbBpPiQbHS pic.twitter.com/fR8dS9GTUu

— Georgios Karamanis (@geokaramanis) March 13, 2021

For this #TidyTuesday, I used a beeswarm and stream plot to look at the movies which pass the bechdel test, minding the number of movies, and look specifically at the main genres.

Code : https://t.co/Pqie3OtgA3#rstats #dataviz #TidyTuesday #r4ds #tidyverse pic.twitter.com/1KheXbqPjZ

— Christophe Nicault (@cnicault) March 10, 2021

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• March 19, 26 vieRnes de maRzo, tutorials from Curso R, USAL

• March 17: Interactive maps with Leaflet

• March 18: The role of Data Journalism in the Covid-19 pandemic

• March 5 - May 21: TIER Symposium on instruction in resproducible research

• May 3rd: Hackathon sponsored by NanoString Technologies

• May 14th: Time to get your Shiny on, Shiny Contest 2021 is here!

• May 26-28: NIMBLE virtual short course

• June 1: “Introduction to R” pre-conference workshop for PuG (German)

• June 1: “Reproducibility in R” pre-conference workshop for PuG

• A list of R and R-adjacent conferences in 2021

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

Datasets

Jobs

• Technical Support Engineer

• Job: Shiny Developer

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

The most wonderful #rstats package I've ever made for myself. pic.twitter.com/o4C3g0Mtpj

— jo-sigh-ughhh (@JosiahParry) March 13, 2021

more fun with #RStats #purrr compose() to help make these cool code pics in carbonate pic.twitter.com/Es9Lr5pSjs

— Jeremy Allen (@jeremy_data) March 14, 2021

🛡️✨ You can use {badgr} in #RStats to make a readme badge that links to your #RShiny app. Here's an example from the https://t.co/ZgnHvQaJew repository. pic.twitter.com/JDqgCfjr5B

— Matt Dray (@mattdray) March 12, 2021