#tidyverse search results

{testthat} update: #RStats #Tidyverse Fixed support for `shinytest2::AppDriver$expect_values()` screenshot snapshot failing on CI (#2293, #2288). github.com/r-lib/testthat…

{haven} update: #RStats #Tidyverse Character limit checks in `write_xpt()` now check for the number of bytes instead of the number of characters (#746). github.com/tidyverse/have…

{dbplyr} update: #RStats #Tidyverse `dbplyr_uncount()` now works with Redshift (@​owenjonesuob, #1601). github.com/tidyverse/dbpl…

{shinytest2} update: #RStats #Tidyverse Given `test_app(check_setup=FALSE)` is now deprecated. This change was done for package authors do not require apps to load support (#328). github.com/rstudio/shinyt…

(1/2) {shinytest2} update: #RStats #Tidyverse `record_test()` gained a new parameter `record_in_package=`. If `TRUE` and if the current working directory is within a package, the test file will be saved to the package's `tests/testthat/` directory.

(1/2) {shinytest2} update: #RStats #Tidyverse `test_app(check_setup=)` is now deprecated. Checking is no longer required as default behavior. This is because `load_app_env()` is now superseded by two new functions: `with_app_support()` and `local_app_support()`.

(1/3) {shinytest2} update: #RStats #Tidyverse To implement the new test file location app, `record_test()` will now save the test file to the package's `tests/testthat/` directory if the current working directory is within a package given `record_in_package=TRUE` (default).

(1/3) {shinytest2} update: #RStats #Tidyverse For package authors, it is now recommended to test your Shiny applications within your own `{testthat}` tests instead of using `test_app()`.

{shinytest2} update: #RStats #Tidyverse `load_app_env()` has been superseded by `load_app_support()`. This new method aligns its name with `local_app_support()` and `with_app_support()`, and similarly, it requires an `app_dir=` parameter (#328). github.com/rstudio/shinyt…

(1/2) {shinytest2} update: #RStats #Tidyverse `record_test()` will now only save setup file for local app testing and not within package app testing. When recording a test for an app inside a package, `local_app_support()` will be added to the top of the testing code (#328).

(1/2) {shinytest2} update: #RStats #Tidyverse Added two new methods: `with_app_support()` and `local_app_support()`. These methods provide package authors a flexible way to scope app support files such as `global.R`, `app.R`, `server.R`, and `ui.R` within your tests.

{vctrs} update: #RStats #Tidyverse `vec_cast()` with arrays no longer clones when no casting is required (#2006). github.com/r-lib/vctrs/bl…

{vctrs} update: #RStats #Tidyverse `vec_rank()` now throws an improved error on non-vector types, like `NULL` (#1967). github.com/r-lib/vctrs/bl…

(1/3) {vctrs} update: #RStats #Tidyverse `vec_ptype_common()` has gained a `.finalise` argument that defaults to `TRUE`

{dplyr} update: #RStats #Tidyverse The `.groups` message emitted by `summarise()` is hopefully more clear now (#6986). github.com/tidyverse/dply…

(1/2) {reticulate} update: #RStats #Tidyverse reticulate now warns when `py_require()`d packages are not found in the selected Python virtual environment. This behavior can be disabled by setting the environment variable `RETICULATE_CHECK_REQUIRED_PACKAGES=0` (#1850).

{readr} update: #RStats #Tidyverse `read_table2()` has been removed from readr. This function was deprecated in readr 2.0.0 (2021-07-20) in favor of `read_table()`. Use `read_table()` instead. github.com/tidyverse/read…

(1/2) {dplyr} update: #RStats #Tidyverse `if_any()` and `if_all()` are now more consistent in all use cases (#7059, #7077, #7746, @​jrwinget). In particular: • When called with zero inputs, `if_any()` returns `FALSE` and `if_all()` returns `TRUE`.

{readr} update: #RStats #Tidyverse The `quoted_na` argument now throws an error if used in edition 2 with `read_delim()`, `read_csv()`, `read_csv2()`, or `read_tsv()`. This usage was first deprecated in readr 2.0.0 (2021-07-20). github.com/tidyverse/read…

{vctrs} update: #RStats #Tidyverse New `vec_pany()` and `vec_pall()`, parallel variants of `any()` and `all()` (in the same way that `pmin()` and `pmax()` are parallel variants of `min()` and `max()`). github.com/r-lib/vctrs/bl…

#Rstats #tidyverse

Nuevo proyecto en GitHub🎯 Un flujo reproducible en #rstats Automatización total de datos del IMSS 🇲🇽: descarga, ensamblado y desestacionalización en flujo #tidyverse: 1,152 series paralelizadas con {furrr} y ajustadas con {seasonal} (incluye Semana Santa)

🎨📊 Una buena visualización de datos no solo comunica: también invita a explorar. En la última edición de useR! 2025, Tanya Shapiro y Cédric Scherer presentaron cómo {ggiraph} lleva el poder de {ggplot2} un paso más allá. #stats #rstats #tidyverse #dataviz #datascience

We love to see it! #JuliaLang #tidyverse

Percentage of electricity generation from low-carbon sources in 2022, via Statistical Review of World Energy June 2023. #rstats #ggplot2 #tidyverse #cleanenergy #energy #data

is that an unpopular opinion? #rstats #python #tidyverse

#TidyTuesday A look at @drob's #R scripts' most common functions. As expected, #tidyverse and #ggplot2 dominate! Data: {funspotr} by @brshallo Code🔗tinyurl.com/tidy-drob Tools: #rstats, #ggraph, #ggtext, #packcircles by @ptr_menzel and @R_Graph_Gallery

An example with tutorial for topological relations in #R using #sf and #tidyverse: st_intersects() and its family of functions. #geocomputation #spatial Code 🔗 aditya-dahiya.github.io/visage/geocomp…

Say want you want about the #tidyverse, nothing beats its expressiveness! #RStats

A fellow #tidyverse lover I found at the grocery store. 🐈🐈🐈🐈 Yes I map() too. #rstats

Learn how to use Principal Component Analysis (PCA) in R to simplify large data sets while retaining crucial information. Click this link for detailed information: statisticsglobe.com/online-course-… #Rpackage #tidyverse #datavis #DataScience #ggplot2 #DataVisualization #RStats #Statistics

I’m in heaven! Just received this new title all about the analysis of rate-of-change via differential equations with R and the #tidyverse … Excellent learning resource. ⁦⁦I’m eager to dig into this book. ⁦@CRCPress⁩ #datascience #rstats

🚀 Aprende R y Tidyverse con los tutoriales (Primers) de Posit 🚀 💡 Estos tutoriales fueron creados por el equipo de RStudio/Posit Education y están disponibles de manera abierta en GitHub. 🎉 #DataScience #RStats #Tidyverse #RForDataScience #LearnR #stats #dataviz #analytics

🚀 Abrimos matrícula muy pronto En este curso trabajaremos con textos en #R usando el ecosistema #tidyverse y paquetes afines. Una forma coherente y poderosa de analizar datos tabulares con la misma filosofía y gramática.

Abrimos la sección de Preguntas Frecuentes del sitio web de @kikollan y vemos esto: 💙💙💙 #rstatsES #rstudio #tidyverse #ggplot2

Aquí el resultado del ejercicio sobre la centralidad de intermediación (grosor) de las líneas y la afluencia diaria promedio durante enero 2023 del @MetroCDMX . Todo hecho en #rstats usando #tidyverse #sf #tidygraph

If I wanted to compute a ratio of, say, the means of variable A for two subgroups from variable B within summarise() in a #tidyverse style, is this which()-based approach the best way? Are there better alternatives? #RStats

The {furrr} R package makes it super easy to parallelize {purrr} mapping functions. The fact that the {furrr} hex sticker is a lion is so clever and cute. Here they are napping together 🥹 #RStats #tidyverse

Keep your code DRY! Use if_any() for flexible filtering across multiple columns. #RStats #Tidyverse

Joins are essential in R for merging data sets based on common columns. More info in my online course: statisticsglobe.com/online-course-… #rstats #datascience #tidyverse