Live
-
{{ is_pkg(link.U) }}{{ link.T }} {{ get_host(link.U) }} - {{ link.N }} ( {{ get_host(link.U) }} )
{{ is_pkg(link.U) }}{{ link.T }} {{ get_host(link.U) }}( {{ get_host(link.U) }} )
{{ item.date }}
-
{{ is_pkg(link.U) }}{{ link.T }} {{ get_host(link.U) }} - {{ link.N }}
( {{ get_host(link.U) }} ){{ is_pkg(link.U) }}{{ link.T }} {{ get_host(link.U) }}
( {{ get_host(link.U) }} )
R Weekly 2022-W33 `across()` multiple columns, pretty ggplots, RStudio pane management tricks
This week’s release was curated by Ryo Nakagawara, with help from the R Weekly team members and contributors.
Highlight
Insights
-
Namibia R Users Group: Fostering the Budding R Community in Namibia
-
RObservations # 36: Opinions on RStudio’s name change. A Bayesian approach with Stan
-
I know what I did last summer: An RStudio internship retrospective
R in the Real World
-
Analyzing Passes Under Pressure Shiny App (Women in Sports Data 2022 Hackathon submission)
-
StatsBomb Win Probability Match Evaluator Shiny App (Women in Sports Data 2022 Hackathon submission)
R in Organizations
R in Academia
Resources
New Packages
CRAN
-
{waywiser} 0.1.0: Yardstick Extensions for Measuring Spatial Structure in Model Residuals.
-
{censored} 0.1.0: ‘parsnip’ Engines for Survival Models.
GitHub or Bitbucket
-
{dotInternals} 0.1.0: Prepend Internal Package Function Names With a Dot.
-
{r2c} 0.0.1: Fast Iterated Statistic Computation in R.
-
{isocuboids} 0.0.0.9000: A package for transforming images/pictures or matrices into pseudo 3D isometric height maps.
-
{WrensBookshelf} 0.1.0: A collection of palettes from Wren’s Bookshelf, and some functions to use them.
-
{tidyduck} 0.5.0: High-level R bindings for the DuckDB Database Management System.
-
{pokeapi} 0.1.0: R wrapper for Pokéapi v2.
Updated Packages
-
spatialsample 0.2.1: Create and summarize spatial resampling objects. - diffify
-
{dispRity} 1.7.0: Measuring disparity with R. - diffify
-
{chessR} 1.5.1: An R package designed to extract and analyse chess game data played on Lichess and chess.com. - diffify
-
{tiledb} 0.15.0: R interface to the TileDB Universal Storage Engine. - diffify
-
{calibrationband} 0.2.1: Calibration Bands. - diffify
-
{bread} 0.2.3: Analyze Big Files Without Loading Them in Memory. - diffify
-
{nflreadr} 1.3.0: Download ‘nflverse’ Data. - diffify
-
{RcppCCTZ} 0.2.11: Rcpp bindings for CCTZ. - diffify
-
{rsample} 1.1.0: General Resampling Infrastructure. - diffify
-
{datefixR} 1.1.0: Standardize Dates in Different Formats or with Missing Data. - diffify
Videos and Podcasts
-
How to Create a Vector with Names in R (Example Code) - Named Numerical Values - setNames() Function
-
Building Websites in R with Distill - ArabR (OmanR User Group)
-
R package reviews - sjPlot - Easily Visualize Data And Model Results
Shiny Apps
R Internationally
Tutorials
-
Simulating data from a non-linear function by specifying a handful of points
-
5 hidden gems from gg-packages to level up your dataviz game
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Jobs
rtistry
Some late night #rtistry #RStats pic.twitter.com/BAJ7rnYjmU
— chris (@dickie_roper) August 12, 2022
I've been up since 3am, but I took advantage of the energy burst. Preparing for an upcoming #rtistry talk 🎉😴 pic.twitter.com/X1kCTKORfX
— Meghan Harris (@meghansharris) August 12, 2022
Quotes of the Week
Now that #RStudioConf2022 is over and I've had some time to process, it's time for a 🧵 to look back and summarize my copious notes. Hopefully this can be useful to someone other than just me! #RStudioConf #RStats #PyData
— Jon Harmon (he/him) (@JonTheGeek) July 29, 2022
Just discovered you can create a docker image from for your #rstats project with a one-liner using either the DESCRIPTION file or the `renv` lock file: pic.twitter.com/tdZAYUFzYD
— Philippe Massicotte (@philmassicotte) August 1, 2022
If I ever write a book ...#rstats #dataviz #datavisualization pic.twitter.com/BdprjqIiPd
— Pablo Alvarez (@pablo_alvrez) August 5, 2022
R users, what is your favorite package that interacts with a web API?
— Neal Grantham 🆖 (@nsgrantham) August 12, 2022
I’m making an R package for the Discogs API and have so far relied on spotifyr as a source of design inspiration, could use a few more high-quality examples like it to draw from#rstats
The exchange I had the other day with 2 tidyverse supporters here inspired me to collect some data re usage of base-R vs. Tidy in major R packages. I've just posted it to my stat/R blog, https://t.co/0AOsgajQUN
— Norm Matloff 全世界加油! (@matloff) August 7, 2022