The R Weekly podcast offers a quick description of the latest highlighted stories and other stories from the latest R Weekly issue, as curated by the R Weekly team and R community.
The podcast R Weekly Highlights is created by Eric Nantz. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).
How a recent pivot in one of the most popular testing frameworks in R unlocks mocking once again, bringing robust grammar checks to your R development environment with rspell, and flex your Shiny and HTML design muscles with flexbox.
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An honest take on common patterns and anti-patterns for re-use of data analyses that hit a bit too close to home for your hosts, a cautionary tale of garbage online references pretending to be authentic material, and a new (human-created) cheat sheet with terrific best practices taking front and center.
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A collection of tips for spreading the good word about your awesome R package, how spring cleaning a package codebase doesn't have to be a dreadful experience thanks to usethis, and the culmination of a learning journey to bootstrap node JS projects powered by webR.
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How an attempt to solve a clever programming exercise led to a new patch to the R language itself, a review of the enlightening results for the recent data.table community survey, and creating a Doom map in R, because why not?
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Flipping a Hello World function on its head, assorted improvements landing in ggplot2 3.5.0, and why authoring beautiful code is so worth it.
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Putting those bike pedals to work with a comprehensive exploratory data analysis, navigating through a near-inferno of namespace and dependency issues in package development, and how you can ensure bragging rights during your next play of Guess My Name using decision trees.
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A few great tips for ensuring your R package doesn't "talk too much" (within reason), shrinking down the size of your images with a new API directly available in a new package, and the first opportunity in 2024 for submitting your proposals for R Consortium projects is on the horizon.
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Key learnings from learners in recent R workshops, advice on navigating thorny package installation issues within renv, and a showdown of how the parquet and RDS formats perform with large data sets.
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The R-Weekly Highlights podcast has crossed another milestone with episode 150! In this episode we cover a terrific collection of development nuggets of wisdom revealed in a recent package review livestream, and how a feature flying under the radar from Git can facilitate investigations of multiple package versions.
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How the babeldown package enables low-friction updates to living documents, uncovering innovative functions all within the base R installation, and supercharging a static Quarto dashboard with interactive tables and visualizations.
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A tour of how the httr2 package streamlines API processing in R, five must-have ggplot2 extension packages for your next visualization, and the Appsilon Shiny Conf 2024 is shaping up to be the biggest yet for all things Shiny.
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ggplot
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We kick off 2024 with a jam-packed episode! Learn four ways to streamline your R workflows, a proposal for a new pipe assignment operator in base R, and our raw responses to a surprising turn of events affecting one of the most influential members of the R community.
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A data-driven investigation to the association of early birthdays and hockey players, one of the most-requested feature requests is coming to the next version of Quarto, and just why in the world does the View() function start with V?
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A timely collection of tips and tricks in adopting the cli package for your R package interfaces, how the deposits package addresses an all-to-familiar problem of sharing research data, and an encore of creating your own RStats-wrapped of your most used R functions.
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A glimpse of refactoring functional R code to object-oriented programming with R6, using benchmarking as another input to adopting package dependencies, and building a high-performance CSV reader by combining R and Rust.
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{pkgdepends}
Package Dependency Resolution, Downloads and Installation https://r-lib.github.io/pkgdepends {reactable.extras}
0.2.0 Release: Enhanced Interactivity and Efficiency for Shiny Apps https://appsilon.com/reactable-extras-enhancing-shiny-applications Supporting the show
From the "is there anything R cannot do" department comes QR code scanning, a tidy time series analysis on a major problem in the roads of Pittsburgh, and rolling up your sleeves with custom ggplot2 tricks to enhance a spatial visualization.
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A collection of post-workshop answers for the R/Pharma introduction to tidymodels workshop, the Shiny UI Editor takes a huge step out of the alpha stage, and a unique approach to Shiny modules with the new component package.
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nav_panel
within apps using the page_navbar
template https://github.com/rstudio/shinyuieditor/issues/190Supporting the show
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Another collection of package testing workflow nuggets you can make great use of today, the definitive guide to effective use of logging in Shiny applications from the recent Shiny in Production conference, and a cautionary tale of the potential impact of default function arguments in your downstream analytical pipelines.
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How the {potools}
package jump-starts your R package translations, the most-upvoted feature request lands in the RStudio IDE with GitHub Copilot integration, and a reflective post on the multiple paths to reproducible data science workflows in R.
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A new contender for speedy fuzzy joins of data frames enough to make Sonic jealous, a novel use of ggplot2 for creating a map that could have come from a vintage typewriter, and the immense progress of detecting R package system dependencies.
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Reflections on the amazing posit::conf(2023), a new framework that'll have you snap into HTML slides, the Nix reproducible data science train powers forward into CI/CD territory, and leveraging parallel processing in spatial data prediction.
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Another adventure with incorporating R packages into a WebR application, annotating your fancy equations in a Quarto PDF document, and unleasing a Bayesian model on UFO sightings data.
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A batch of R functions to level-up your development tasks, revisting a classic R inferno on object allocation, and a call for proposals to take R's infrastructure to new heights.
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The next generation of object-oriented programming in R arrives on CRAN, a novel use of R to automate R scripts and documents for Tidy Tuesday analyses, and a terrific presentation de-mystifying the world of web APIs in R.
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A few key practices for data preprocessing leveraging the tidyverse, more amazing wins with open source to process high-dimensional USDA geospatial data sets, and an infinitely fascinating look at how recursion and infinite data structures can be used in your R adventures.
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Another excellent use case of Nix for solving R package installation woes, a practical dev journey of wrapping C code in an R package, and a guide for using the new refugees R package from UNHCR.
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How a novel blend of automation and the YouTube API formed a new R-Ladies meetup recording dashboard built entirely with R, the momentum of webR continues with a fantastic guide to create a serverless Shiny app, and a new challenger in the world of high-performance data manipulation libraries arrives.
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Reducing usage of for loops with the reduce function from purrr, filling spatial maps with density gradients to account for overplotting, and a fun way to add attribution to your fancy ggplots.
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How consistent formatting and styling is valuable technique for debugging, a visual tour-de-force of jazzing up your ggplots with the amazing ecosystem of extension packages, and why a little investment in learning HTML and CSS is worth your time as an R programmer.
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The second edition of the highly-regarded R for Data Science arrives with substantial updates, an adventure with "A Programming Language" that brings new perspectives to functional programming approaches, and a new take on reproducibility in data science combining R with the Nix packaging system.
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posit::conf(2023)
! https://reg.conf.posit.co/flow/posit/positconf23/attendee-portal/page/sessioncatalog?search=shiny&search.sessiontype=1675316728702001wr6r&search.day=20230918Supporting the show
Releasing an Word document table into the land of markdown, a practical overview of sharing your machine learning model with others, and taking local control of checking the builds of your package across computing architectures.
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{datapasta}
RStudio addins and R functions that make copy-pasting vectors and tables to text painless https://milesmcbain.github.io/datapasta{checkhelper}
A package to help you deal with devtools::check
outputs https://thinkr-open.github.io/checkhelper{crew}
: A distributed worker launcher framework for asynchronous and distributed computing https://wlandau.github.io/crewSupporting the show
Uncovering powerful use cases of the slice() function in the tidyverse, a batch of new features and fixes for column labeling in gt 0.9.0, and a fun journey with tidymodels and visualizations on just how much the Reverend Thomas Bayes may have earned from his own home (probably).
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{usedthese}
Summarize package and function usage https://www.quantumjitter.com/blog/usedthese/{carlesswhisper}
Automatic speech recognition in R with whisper.cpp https://github.com/coolbutuseless/carelesswhisperSupporting the show
A batch of useful patterns for your next R project, the highly-anticipated dashboard components of {bslib} have arrived, and creating circle-based charts with customization using {ggtricks}.
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Another terrific illustration of open-source collaboration in the latest updates to gptstudio, and a comprehensive journey of web scraping in R to bring much-needed automation to a practical research problem.
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Another gem in the functional programming toolkit with partial functions, simplifying R package creation using fusen, and a creative visualization of worldwide parliament representation.
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A must-have resource to get you primed for testing R packages interfacing with the web, how ggblend taps into new compositing functionality for clearer plots, and how R stacks up with Excel in handling dates.
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ggdist
Visualizations of distribution and uncertainty: https://mjskay.github.io/ggdist/Supporting the show
Introducing the new ggflowchart package, how a dockerized development environment is another win for reproducibility, and our take on Colin Fay's keynote from the Appsilon Shiny Conference.
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Why effective code reviews can bring many benefits to data science teams, the origin story of the sketch package to transpile R code to JavaScript, and a primer on error handling in both R and Python.
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{purrr}
safely https://purrr.tidyverse.org/reference/safely.htmlSupporting the show
A few strict checks offered in R 4.3.0, measuring and writing performant code in the Tidyverse, and a please for indenting your code with (more) spaces.
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Using development containers to bootstrap a reproducible R and Quarto environment, a comprehensive approach to extending the data frame class, and plotting your own universe of labels with ggsolar.
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A data-driven look at package loading annotations in R scripts, a fit-for-purpose package that makes a large contribution to the global R ecosystem, and a collection of amazing showcases of webR in action that is paving the way for continued innovation.
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Ten unique ways to create your own Web APIs in R, and how you can import local and remote data files in CSV and (yes) Excel formats with a selection of innovative R packages.
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A new perspective on the value of base R functions, enhancing the capabilities of gpttools with vector databases, and three ways you can add alt text to your R-based visualizations.
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The future of running R in your web browser is here with webR 0.1, a demonstration of integrating Quarto and webR with immense potential in the space of reproducible analysis, and two fundamental techniques from the world of software development tailored to non-programmers.
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A episode full of discovery in this week's edition of R-Weekly Highlights! How you can parse your own R code with parse
and getParseData
, a closer look at the search capabilities in R-Universe, and a look back at the key milestones in the history of the R language.
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How to easily create interactive versions of your favorite ggplots with ggiraph, bringing AutoML to R with forester, and a head-to-head comparison of R and Excel for common data wrangling and summaries.
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{openxlsx2}
read, write, and modify xlsx files https://janmarvin.github.io/openxlsx2Supporting the show
The current state and future of {rtweet}, bringing the best of testing and CI/CD in a statistical package, and navigating through a Shiny maze (literally).
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{rtweet}
https://github.com/ropensci/rtweet/issues/763Supporting the show
A glimpse into the day-to-day of maintaining an R package, exploring gender effects in art history data with the power of resampling, and a huge win for accessible SVG plots with R-Markdown.
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Just how far back can we turn back time with an R installation, many enhancements to joining data sets in dplyr 1.1.0, and a retrospective on the 2022 thirty-day map challenge.
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How you can make R package testing a little easier with switches, how the combination of group processing and compute resources can level up geospatial data processing, and a few quick wins to improve the responsiveness of your Shiny apps that got your podcast hosts to think hard about previous design choices!
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A large helping of football data for your analytics with the englishfootball package, building a Shiny application with both R and python, and a first look at upcoming conferences this year.
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{worldcup}
A Comprehensive Database on the FIFA World Cup https://github.com/jfjelstul/worldcup Supporting the show
A glimpse into the world of end-to-end Shiny app testing with shinytest2, and an important look at the spectrum of reproducibility within R using container technology and services.
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{leprechaun}
: Code generator for lean and robust Shiny applications https://leprechaun.opifex.org{groundhog}
Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages https://groundhogr.comSupporting the show
A big progress updates in the latest {knitr} development release (literally), how the {litr} package enables literate programming development for R packages, and how you can translate Morse code directly in R with the {remorse} package!
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{fusen}
R package https://thinkr-open.github.io/fusen
{packagefinder}
https://github.com/jsugarelli/packagefinder-/./.-../.-.. -.--/---/..-/.-. ..-./.-./.././-./-../... .-/-.../---/..-/- -/..../. .-. .--/././-.-/.-../-.-- ..../../--./..../.-../../--./..../-/... .--./---/-../-.-./.-/.../-
Audio version of message: https://archive.org/details/output_20230110
Supporting the show
Our first episode of 2023 covers the brand-new gpttools package to called chatGPT directly in R, a wholistic look at MLOps with the latest tidymodels tooling, and a spotlight on the lesser-known quantile regression. Plus listener feedback and much more!
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Data munging and visualization of your Twitter archive with R, a successful Shiny app submission to the FDA, and scoring Rock Paper Scissors.
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{ggiraph}
: Make {ggplot2}
plots interactive https://davidgohel.github.io/ggiraphSupporting the Show
Big new features coming in {dplyr} 1.1.0, how you can make your own #rstats wrapped, and enhancing your Shiny apps with JavaScript (without knowing much JS). Plus your feedback and more!
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.by
and group_by()
in {dplyr}: https://dplyr.tidyverse.org/dev/reference/dplyr_by.html#differences-between-by-and-group-by-Supporting the Show
A new approach to adding package tests with {doctest}, scraping data from dynamic web pages with {RSelenium}, and a simple checklist to power up your next bar chart.
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Reshaping your R function syntax with {codegrip}, ways you can apply DRY principles to R package development, and a new online book teaching you how to create beautiful tables in R with {gt}
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A major achievement unlocked! In episode 100 of RWeekly Highlights: The new {rtoot} package for collecting and analyzing Mastodon data, using the {unheadr} package to fix broken and irregular column headers, a tour of the apply functions in base R, and creating posters of NBA rosters with R and ImageMagick.
Plus a big announcement on a new way to directly support the show!
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Embracing the dual role of data scientist and software developer with state-of-the-art tooling, illustrating the fundamentals of Shiny (literally), and the TidyX crew put their data wrangling skills to the test.
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The power of Quarto's interoperability shines again with integrating R and JavaScript maps, as well as the grammar of table generation in both R and Python. Plus boost the launching of your R session with the startup package.
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The magic of automated Shiny app deployment and data aggregation using GitHub actions, 6 productivity hacks for Quarto, and valuable tips for managing large codebases in R.
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Design principles for data analysis, unraveling pipeline analyses with {Unravel}, and visualizing simulated environmental changes in western Canada with Shiny.
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A collection of highlights to give your future developer self a helping hand: Deploying a Flexdashboard using GitHub Pages and Docker, an illustrated guide showcasing the perks of Git and GitHub for version control, and how the logger package integrates smoothly with plumber for an API package.
Additional note: The recording of this episode was met with unfortunate technical glitches. We apologize and promise the quality will be back to normal next time!
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A few major benefits of adopting variable labels for R data frames, wrapping a plumber API into a package with mariobox, and getting started with obtaining new data in R via APIs and web scraping.
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A collection of highlights powered by mathematics, statistics, and a little bit of R magic: Mapping wind data with R, calculating the expected statistic in football, and how the vetiver package fits in an ML-Ops production flow using Docker and Plumber.
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Using base R to decrypt an Australian coin's hidden messages, the Palmer Penguins data set achieves another milestone, and visualizing multiple statistcal properties with faded raincloud plots.
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knitr::read_chunk
https://twitter.com/apreshill/status/1565752119751237638{gghalves}
: https://erocoar.github.io/gghalves/ {ggp0}
: https://docs.r4photobiology.info/ggpp/Using hierarchical forecasting to explore subway fare recovery, and how you can learn more about {gtsummary} to create your next publication-quality table within R.
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{gt}
Tables! https://r-podcast.org/027-rstudioconf-tablesThe rstudio::conf(2022) presentation recordings are now available for viewing, and we learn about the unique development journey of the new CRAN release of the countdown package.
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Avoid repeating yourself by using dplyr's across function, going inside the process of creating a custom theme in ggplot2, and a few keyboard-centric tricks to manage your RStudio pane viewing.
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A wealth of R content from the UseR! 2022 conference is now available, focusing on accessibility in the diffify tool, and a great recap of rstudio::conf(2022) from TidyX.
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RStudio re-brands as Posit, the shinytest2 package continues to make waves in the Shiny community, and more Quarto tips to boost your workflow.
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Another great use case for Docker containers with interactive R-Markdown reports, a recap of RStudio's presence at the Appsilon Shiny conference, and building an interactive point-and-click game with Shiny.
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Advice on building Docker containers for Shiny applications, an R-centric tutorial on fundamentals with shell, and tips on evaluating GitHub activity for contributors.
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Flexing new table-creation capabilities in the latest flextable update, how less is more with Shiny application processing, and the RainbowR community shines once again.
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Previewing the upcoming rstudio::conf, why you should (or shouldn't) build an API client package, and monitoring Shiny application usage with Hotjar.
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Many improvements to {gt} version 0.6, and creating flow charts effeciently with {ggplot2}.
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Creating user interfaces in R with a vintage toolkit, and a candid take on learning R with the right perspectives in mind.
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Annotated screencasts of David Robinson's Tidy Tuesday analyses, and the second edition of Deep Learning with R is on the way.
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Amazing software development resources for data scientists, community-contributed R markdown tips & tricks to save you time, and combining GitHub gists and Carbon screenshots with gistillery.
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A preview of R for Data Science (2nd edition) with missing data, creating topography maps, and (yes) playing the drums directly in R.
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A dungeon-crawler for your R console, storytelling in ggplot2 with rounded rectangles, and updates to the tidymodels recipes suite of packages.
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A brand-new tables gallery powered by the R community, noteworthy items from the Appsilon Shiny conference, and R-Markdown is not going anywhere.
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Lessons from teaching R to non-programmers, loading a large and messy CSV file with data.table and command-line tools, Bayesian analyses with the brms package, and getting a better understanding of the tidyeval framework.
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An important change coming to the R-spatial ecosystem, enhancing function error reporting with chaining, and traveling down the monad rabbit hole.
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The cone of silence is lifted for the Quarto publishing engine, re-creating a storytelling look with ggplot2, and programming a fun Dragon Realm game in Shiny.
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A trifecta of new R packages for data validation, function logging, and a new ggplot2 extension.
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After a brief hiatus, the R-Weekly Highlights podcast is back! In this episode we discuss: Understanding the native R pipe, and using RopenSci's pkgcheck within GitHub Actions.
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|>
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An update on the current state of RWeekly, plus Eric and Mike reflect on their journeys with data science from the industry and consulting perspectives in an eventful 2021!
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A batch of Shiny tips from creating an application tailored to teaching statistics, and the Big Book of R gains nine new entries to the collection.
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A fascinating journey to understand serialization of RDS files in R, and giving an old domain new life with R markdown while giving back to charity.
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How GitHub Actions empowers the {cffr} package to perform automated testing with 2,000 packages, recap of the recent R-Ladies Philly workshop on automated testing in R, and introducing the new {filebin} package for easy file sharing.
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A cautionary tale about ML interpretations with food, practical solutions for dealing with big data in R, and the adventures of installing R on the new Apple Silicon hardware.
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A lesser-known R function drives finding coordinates on fictitious Pokemon maps, creating customized point shapes with ggplot2 and gggrid, and how the branchMover Shiny app can save you a load of time and effort with GitHub branch renaming.
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An analysis of dialogue from "The Office", and a package promoting accessibility for visually impaired R-Users.
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A tutorial on getting started with aRtistry, simulating the Squid Game bridge scene, and a video demonstration of installing Shiny server on AWS.
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A major announcement for R developers interested in type safety, thoughts on using Visual Studio Code from the perspective of a long-time RStudio user, and the adventures of filling regions between lines with ggplot2.
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Looking to provide feedback on this episode and the podcast in general? Feel free to get in touch with Mike (@mike_ketchbrook) or Eric (@theRcast) on Twitter!
Using the helpers from usethis for pull request workflows, 2021 New York R conference videos now available, and the origins of the newly released ggalignment package for D&D inspired alignments. Plus, a new era of the podcast begins with our new co-host Mike Thomas!
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{gert}
: Simple Git client for R{ggalignment}
to CRAN!Parameterized reports in RMarkdown with Plumber, an updated history of the pipe operator in R, and creating data from an image with reticulate
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Data visualization accessibility, curating for R-Ladies, and a soccer data pipeline. Plus an annoucement on my goals for the future of the podcast.
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Become a part of the R-Weekly Highlights podcast!
I am looking for members of the community to join me in sharing their perspectives on the highlighted resources in future podcast episodes! If you are interested in learning more and possibly joining my efforts, please get in touch via my Twitter account (@theRcast) or via email: theRcast (at) gmail.com
Eras of MTV and system commands
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Techniques for creating generative art in R, time tracking with clockify, and the four pipes of magrittr
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Elegant maps with tmap, a data validation ecosystem, and a major release for gitlabr.
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The July top 40 R packages, R Markdown advanced tips video, and colored world maps
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Debugging lessons with source, illustrating the coefficient of variation, and the exciting conclusion to SLICED season one
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{targets}
package.{eulerr}
: Area-proportional Euler and Venn diagrams with ellipsesThe new {flow} package for visualization R code, and producing donut charts of COVID-19 cases using R.
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{boomer}
- Debugging tools to inspect the intermediate steps of a callCreating mobile-friendly Shiny apps, {gitlabr} 2.0.0, and achieving reproducible workflows with R and Docker
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Up and running with officedown, testing with a reprex to solve your problems, and a tidy take on performing hypothesis testing with statsExpressions.
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Top 3 coding best practices from the Shiny contest, improvements in Target Markdown for {targets} 0.6.0, and the new {facetious} package for alternative facets with {ggplot2}
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How to become a better R code detective, a practical introduction to custom fonts, and making error messages your own.
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Creating a package directly from R-Markdown with {fusen}, and a new milestone release of the {googledrive} package
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Practical tips on starting new R projects, and improving a visualization of US streaming market share.
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Creating your own CRAN-like repository with R-universe, results the third annual Shiny contest, and insights on why to use Shiny.
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https://ropensci.org/blog/2021/03/04/r-universe-buildsystem/
https://ropensci.org/commcalls/may2021-r-universe/
Projecting and tracking COVID-19 infection rates in England with R, leveraging Wikidata to tag scientific abstracts, and a new deep-learning workflow with the luz package
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Using Animal Crossing data with the Google Vision API and machine learning, the latest Shiny developer series with Nick Strayer, and ensuring robust database transactions in Shiny
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Reusing knitr chunk options, the combo of VS-Code and R in 2021, and say hello to gggrid
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Extracting and analyzing Apple health data, and the top 40 CRAN packages for April
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Supplemental Resources
https://www.healthcareitnews.com/news/timeline-how-apple-piecing-together-its-secret-healthcare-plan
https://github.com/d-score/childdevdata
https://github.com/forestry-labs/Rforestry
https://github.com/tsuda16k/materialmodifier
The big new features in R 4.1.0, what makes a great function example, and evolution of a ggplot
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A tidymodels approach to the Introduction to Statistical Learning learning labs, exploring class imbalance on the TidyX video series, and encrypting and hosting a R Markdown report.
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{encryptedRmd}
: Password protected markdown HTML reports in R using libsodiumUsing the trifecta of map, walk, and pivot for data processing, obtaining quotes from the Friends characters in R, and putting the spolight on Shiny user interfaces in the Shiny Dev Series.
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A call to action for testing R 4.1, a practical guide to unit tests, and a tutorial on creating pizza charts with football data
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Exploring wikidata with the {tidywikidatar} package, accessibility improvements in {knitr}, and the top 40 new CRAN packages for March.
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Supplemental Resources
https://news.yahoo.com/wikipedia-turns-20-aims-reach-035212015.html
https://github.com/yihui/knitr/releases/tag/v1.32
https://cran.r-project.org/web/packages/pkglite/index.html
https://flujoo.github.io/gm/
The latest news from rOpenSci, creating ggplot2 postcards with ggirl, and an introduction to process mining in R
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reprex 2.0, using Kubernetes and the future package, and SQL in RMarkdown
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{workflowsets} with tidy models, exploring other {ggplot2} goems, and top 10 R errors
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The Minard System in R, ggplot2 wizardry, a slackbot created with plumber and googleCouldRunner
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{gt} tables cookbook, best weather cities, and mapping over many files
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Time series forecasting with torch, automated scraping of stock metrics with GitHub Actions, and default knitr options and hooks.
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Serverless dashboards, learning tidy evaluation by re-implementing dplyr, and bootstrap confidence intervals with tidy modeling
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Random effects, GGanimate intro, and updates to dplyr backends
Episode Links
Supplemental Resources
https://stats.stackexchange.com/questions/55364/mixed-model-in-simple-english
https://towardsdatascience.com/how-linear-mixed-model-works-350950a82911
https://twitter.com/tjmahr/status/1365424619344318466
Multi-page Shiny apps, R package citation, and refactoring the squashinformr package
Episode Links
{squashinformr}
Installing packages, {distill} for personal websites, and Shiny app stories
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Supplemental Resources
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rstudio::global 2021 and UseR! 2021 call for abstracts
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{blogdown} v1.0, announcing {pagedreport}, and the rOpenSci Community Contributing Guide
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Data Science as an atomic habit, Japan soccer league season review, Fantasy football scheduling, and UseR! 2021 call for tutorials
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Plots with GitHub Actions, and major updates to {renv}
and {fastai}
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Data Science course in a box, up and running with blogdown, and voting visualization in Switzerland
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R Markdown family updates & table contest results
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Supplemental Resources
Targetopia, extracting JSON data, and ggrepel update
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Supplement resources
Underrated tidyverse functions, bullet chart variants, and AWS Lambda with R
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Extended ggplot2 tutorial, static code analysis, and a customized visual CV with ggplot2
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About this episode
Your first R package, magrittr 2.0, and Engineering Shiny use case
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About this episode
Testthat utility belt, NHS-R conference, and application of Bayesian networks to sports injury prediction
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About this episode
Open-access tools to find conronaviruses, developing inside containers, and error handling
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About this episode
Single source publishing, rainbow parentheses, and VisiumExperiment
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About this episode
{emphatic} highlighting, analyzing open political data, and helping data-science learners
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About this episode
Rolling averages with {slider}, personal art map, and flood mapping
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Climate animation, decomposition and smoothing with R and python, and a Raspberry Pi dashboard
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Topics in package development, contributing to ROpenSci, and shining a light on learnr
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About this episode
Visual markdown editing, stat layers in ggplot2, and learnr tutorials in a package
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About this episode
A calendar right in your R console, accessibility tooling for Shiny, and shinydashboardPlus v2.0
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Entire issue available at rweekly.org/2020-39
About this episode
Making learning to code friendlier with art, ggforce functions, and debugging in VSCode
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About this episode
Guidelines for creating better tables, a controlled vocabulary to name data frame columns, and exploring reactivity in Shiny applications.
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About this episode
A stunning combination of physics and 3-D visualization, behind the curtain of package installation, and an alternative workflow for error handling in functions.
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About this episode
A substantial update to the magrittr package coming soon, creating visualizations in D3 from an R user's perspective, and a big book of R.
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About this episode
Choosing an operating system for R users, examining regression techniques, and inside the development of dittodb
/ generating data from truncated distributions
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Exploring comic book creation with the tidyverse
and ggplot2
, and updates to the showtext
and shinycssloader
packages on CRAN.
In this introduction episode, Eric Nantz shares an introduction to the RWeekly community project as well as the movitation for creating this brand new RWeekly Highlights podcast!
En liten tjänst av I'm With Friends. Finns även på engelska.