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Hello and welcome to this new issue!

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

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

Highlight

• Resources for Data Viz Accessibility

• Curating for @WeAreRLadies on Twitter

• Creating a data pipeline with Github Actions & the {googledrive} package for the Canadian Premier League soccer data initiative!

Insights

• Curating for @WeAreRLadies on Twitter

R in the Real World

• Automated {drat} uploads with GitHub Actions

• Creating a data pipeline with Github Actions & the {googledrive} package for the Canadian Premier League soccer data initiative!

• Will the next German parliament have a gigantic size? A law and coding challenge…

R in Academia

• Plotting model-based clusters of population genetic structure with ggplot. An example with microsatellite data and DAPC

Resources

• Modern Statistics with R-From wrangling and exploring data to inference and predictive modelling by Måns Thulin

• Resources for Data Viz Accessibility

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {nominatimlite} 0.1.0: Lite interface for getting data from OSM service Nominatim. Extract coordinates from addresses, find places near a set of coordinates, search for amenities and return spatial objects on ‘sf’ format.

• {d3po} 0.3.2: Fast and Beautiful Interactive Visualization for ‘Markdown’ and ‘Shiny’

• {scRNAstat} 0.1.1: A Pipeline to Process Single Cell RNAseq Data

• {net4pg} 0.1.0: Handle Ambiguity of Protein Identifications from Shotgun Proteomics

GitHub or Bitbucket

• {fivestars}: Generates HTML/CSS star ratings.

Updated Packages

• {climaemet} 1.0.0: Tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API.

• {ichimoku} 1.2.1: Visualization and Tools for Ichimoku Kinko Hyo Strategies. Updates: create cloud charts from any price series, pair with oscillators, save financial data directly from live charts powered by the OANDA fxTrade API.

• {pathroutr}: R package for routing tracks around barrier polygons.

• {emoji} 0.2.0: Contains data about emojis with relevant metadata, and functions to work with emojis when they are in strings.

• {hockeyR} 0.1.0: Collect and Clean Hockey Stats.

• {aRtsy} 0.1.2: Generative Art with ‘ggplot2’

• {phytools} 0.7-90: Phylogenetic Tools for Comparative Biology (and Other Things)

• {maps} 3.4.0: Draw Geographical Maps

Videos and Podcasts

• terrainr - Generating Landscape Visualizations Using R and Unity

• R for Data Science Book Club: Chapter 11: Data Import Part 1 (r4ds05)

• R packages for using Stan

• Preparing for a Shiny UI/UX webinar!

• Creating GitHub pull requests from {shinycal} (part 1)

• Linking patient-reported outcomes measures with PROsetta by Ryan Honomichl

• R-Ladies Coventry & Utrecht (English) - Growing into the R community - Dr Shannon Pileggi

• Creating Your First R Package in 2 Minutes in RStudio!

Gist & Cookbook

Submarine Cable Map Dataviz

Shiny Apps

• French shiny app describing the impact of food on the environment.

• French shiny application describing the impact of food on the environment. Using the open source data from Agribalyse.

R Internationally

مدونة متخصصة في مواضيع حول جمع وتصوير ونمذجة البيانات والتعلم الآلي

Tutorials

• How correlated are survey estimates from overlapping groups?

• {emayili} Styling Figures

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• A how-to guide for using R to design and implement choice-based conjoint surveys using formr.org

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• October 2: satRday Columbus

• November 2-4: R/Pharma 2021

• November 10-12: LatinR 2021

• November 24-26: The Use of R in Official Statistics

• A list of R conferences and meetings

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

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

New #dataviz! The Earth's submarine fiber optic cable network, visualized in #RStats with #rayrender.

Code:https://t.co/6tFsS4vfAK

Rayrender Github:https://t.co/iB5nWhGY7l pic.twitter.com/1FTKM0FPHr

— Tyler Morgan-Wall (@tylermorganwall) September 22, 2021

📊🧵 Collection of tweets featuring open-access materials that I have shared over the last years:
Talks, seminars, blog posts, hands-on notebooks, codes, and more!
#rstats #ggplot2 #tidyverse #dataviz 🧙‍♂️ pic.twitter.com/eMY2DqghNL

— Cédric Scherer 💉💉 (@CedScherer) September 23, 2021

Using #docker with #rstats is a really powerful combo.

What are your favourite resources for getting started with Docker?

Here is my top 5 list: 👇 pic.twitter.com/285Zn2pS5J

— Péter Sólymos (@psolymos) September 21, 2021