gghighlight 0.4.0 is now on CRAN with this experimental feature! You can use `line_label_type` arg. The details can be found athttps://t.co/qonDNQ5gni #rstats https://t.co/OrtSjgUl5M
— Hiroaki Yutani (@yutannihilat_en) October 18, 2022
gghighlight 0.4.0 is now on CRAN with this experimental feature! You can use `line_label_type` arg. The details can be found athttps://t.co/qonDNQ5gni #rstats https://t.co/OrtSjgUl5M
— Hiroaki Yutani (@yutannihilat_en) October 18, 2022
A new version of the {gt} package has been released! 🎉
— Posit PBC (@posit_pbc) September 26, 2022
Version 0.7.0 has many new things for #rstats tables: export {gt} tables to Word docs, format vectors with vec_fmt_*(), enhance HTML accessibility, and more!
Learn about them in the blog post: https://t.co/WW2Ub6g9fv
Make your R Markdown docs look & work better!
— RStudio (@rstudio) September 14, 2022
Read the final post of our series with 7 tips & tricks for #rstats docs: create columns, references, & more: https://t.co/n0j0lUP4JV
Thank you to @_bcullen, @apreshill, reviewers, & all who shared!
Enjoy the R Markdown journey. https://t.co/8KQ2mTCWMt pic.twitter.com/lm9SXKyEri
😯 TIL (courtesy of @thomasp85) you can access the defaults for any {ggplot2} geom using the default_aes field (i.e. GeomBlah$default_aes). #rstats
— Mara Averick (@dataandme) September 1, 2022
code in a gist: https://t.co/SUTF8JEykX pic.twitter.com/9BA8kgiaxG
We're excited to announce Quarto, a new open-source scientific and technical publishing system.
— RStudio (@rstudio) July 28, 2022
Quarto is the next generation of R Markdown and takes what we've learned from the last 10 years and weave it into a more complete, cohesive whole.
Read more: https://t.co/ceO07mFT0V
“Create grammar-of-graphics calendars” with the {ggcalendar} #rstats 📦 by @EvaMaeRey version 0.0.0.9 on GitHubhttps://t.co/khIDo70Scr pic.twitter.com/BFkhZ9Lqbs
— Sharon Machlis (on staycation & offline for a bit) (@sharon000) July 16, 2022
The {ggidst} #rstats 📦 features new ggplot geoms "designed especially for visualizing distributions and uncertainty." By @mjskay #ggplot2https://t.co/QGpAonvKBf pic.twitter.com/BknVqLkZas
— Sharon Machlis (on staycation & offline for a bit) (@sharon000) June 29, 2022
Easy correlation analysis with the {correlation} #rstats 📦 by @easystats4u. Plus simple correlation #dataviz with their {see} pkg!https://t.co/oKEdpigkfEhttps://t.co/HsGHFIQ7Lv pic.twitter.com/xC63lOsmNQ
— Sharon Machlis (on staycation & offline for a bit) (@sharon000) June 29, 2022
A new version of the {gt} package has been released! 🎉
— RStudio (@rstudio) June 10, 2022
Version 0.6.0 has even more features for creating and presenting summary tables in #rstatshttps://t.co/p2qEepdXrb
The SQL translation of the dev version of dbplyr is impressive. Did you know now it can translate cut() to CASE WHEN, and there's an option to use WITH clause to avoid the hell of subqueries? #rstatshttps://t.co/6P3UjlRROP pic.twitter.com/r0Xk3YPihQ
— Hiroaki Yutani (@yutannihilat_en) May 6, 2022
🤩 Friendly reminder that @_isabellamb's “ggplot2 Theme Elements Reference Sheet” is freaking fantastic!https://t.co/FOezFkmBIZ #rstats #dataviz https://t.co/jbdQSbKhhJ
— Mara Averick (@dataandme) April 21, 2022
These diagnostic plots are 🔥 #rstats https://t.co/v51Pp6ccxD
— JD Long (@CMastication) March 31, 2022