Issue 2024-W43 Highlights
Bringing tidy principles to a fundamental visualization for gene expressions, being on your best "behavior" for organizing your tests, and how data.table stacks up to DuckDB and polars for reshaping your data layouts.Episode LinksThis week's curator: Jon Carroll - @jonocarroll@fosstodon.org (Mastodon) & @carroll_jono (X/Twitter)Exploring the tidyHeatmap R packageDon't Expect That "Function Works Correctly", Do This InsteadComparing data.table reshape to duckdb and polarsEntire issue available at rweekly.org/2024-W43Supplement ResourcestidyHeatmap: Draw heatmap simply using a tidy data frame https://stemangiola.github.io/tidyHeatmap/Novel App knock-in mouse model shows key features of amyloid pathology and reveals profound metabolic dysregulation of microglia https://molecularneurodegeneration.biomedcentral.com/articles/10.1186/s13024-022-00547-7Shiny App-Packages chapter on writing tests and specifications https://mjfrigaard.github.io/shiny-app-pkgs/test_specs.htmlWANT CLEANER UNIT TESTS? TRY ARRANGE, ACT, ASSERT COMMENTS https://jakubsob.github.io/blog/want-cleaner-test-try-arrange-act-assert/Super Data Science Podcast 827: Polars: Past, Present and Future, with Polars Creator Ritchie Vink https://www.superdatascience.com/podcast/827duckplyr: A DuckDB-backed version for dplyr https://duckplyr.tidyverse.org/Suppo