Eric NantzScience
Eric NantzScience

About

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.

Value for Value ⚡️


  • Issue 2024-W13 Highlights
    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.
  • Issue 2024-W12 Highlights
    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.
  • Issue 2024-W11 Highlights
    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.
  • Issue 2024-W10 Highlights
    ow 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?
  • Issue 2024-W09 Highlights
    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.
  • Issue 2024-W08 Highlights
    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.
  • Issue 2024-W07 Highlights
    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.
  • Issue 2024-W06 Highlights
    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.
  • Issue 2024-W05 Highlights
    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.
  • Issue 2024-W04 Highlights
    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.
  • Issue 2024-W03 Highlights
    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.
  • Issue 2024-W02 Highlights
    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.
  • Issue 2023-W50 Highlights
    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?
  • Issue 2023-W49 Highlights
    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.
  • Issue 2023-W48 Highlights
    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.
  • Issue 2023-W45 Highlights
    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.
  • Issue 2023-W44 Highlights
    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.
  • Issue 2023-W42 Highlights
    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.
  • Issue 2023-W41 Highlights
    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.
  • Issue 2023-W40 Highlights
    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.