#rstats
Matt Dancho (Business Science) (@mdancho84; 1883/273): Stop using boxplots…
Use this plot instead.
https://t.co/XFWjBM3mHQ
#rstats #DataScience https://t.co/oNAFZ0N9GF ↪
Milos Popovic (@milos_agathon; 1330/319): Hi, are you interested in making pretty & useful maps like those in the screenshot below but you don’t want to pay for expensive GIS courses? 🗺️
Look no further: I created FREE tutorials for YOU 🙌🏻👇🏼
https://t.co/r5D31ZvzdI
#RStats #DataScience #dataviz #coding #maps https://t.co/4kfNdq5P7d ↪
Saroj parajuli (@Parajulisaroj16; 1098/260): This book will be useful to everyone who has struggled with displaying data in an informative and attractive way.🔗 Download a pdf: https://t.co/i6mW7cCDpL #DataScience #RStats #dataviz #DataAnalytics #programming #book #codinglife #DataScientist #Data https://t.co/5w3VDj4jTC ↪
Neil Currie (@neilgcurrie; 480/83): Spreadsheets have serious problems and most coders avoid them like the plague.
The world also happens to be built on them and only a spreadsheet will do for your customer.
A thread on building spreadsheets directly from R, using only code.
#rstats #datascience #excel ↪
Rosana Ferrero🕊☮️🏳 (@RosanaFerrero; 372/88): 🤔 ¿Cuál es el mejor gráfico para visualizar tus datos (según el contexto)?
🎯 ¿Cuál se adapta mejor a tus datos e ideas?
👉 Código reproducible en #RStats🔗 https://t.co/qmLuk8fh8n
#dataviz #DataVisualization #stats #datascience #analytics #analisisdedatos #cienciadedatos https://t.co/kiVXyaXJ3B ↪
Rosana Ferrero🕊☮️🏳 (@RosanaFerrero; 316/67): 💡 El análisis de correlación es una de las técnicas más habituales en análisis de datos y el primer paso para construir cualquier modelo explicativo o predictivo más complejo
🔗 https://t.co/uuJXqvojip
#cienciadedatos #analisisdedatos #datascience #analytics #RStats #Python #ML https://t.co/LhImEFJt1G ↪
Tyler Morgan-Wall @tylermorganwall@fosstodon.org (@tylermorganwall; 254/40): One week until I will be speaking at @rstatsdc on “Building an Entire City in R: Interactive 3D Data Visualization with #Rayrender”
I’ll show how to build a digital replica of a city entirely in R and an example of telling a data-driven story within it!
#RStats #rayshader https://t.co/FXuT6aRUik ↪
Nicola Rennie | @nrennie@fosstodon.org (@nrennie35; 229/29): I’ve finally put all of the plots that I’ve ever created for #TidyTuesday together in one place!
Behance: https://t.co/VymL3lI6kG
#RStats #DataViz https://t.co/UKwob4ExsY ↪
Iaroslav Domin (@iaroslav_domin; 204/34): A tiny package to help you choose the right picture size for your ggplot. https://t.co/KhiOLtyQmQ #RStats #ggplot2 #TidyTuesday #dataviz https://t.co/4ZYUiSdQXG ↪
Saroj parajuli (@Parajulisaroj16; 183/55): This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data.🔗 Download a pdf: https://t.co/lfj8KWMab3 #DataScience #RStats #dataviz #DataScientist #programming #book #Coding #Statistics #Data https://t.co/7fYM73CdRr ↪
blogdown
A. Jordan Nafa (@adamjnafa; 16/5): #rstats folks: has anyone ported their website from blogdown to Quarto? How much effort does it entail? Mine is currently built on a modified version of the wowchemy template, but there’s some cool functionality in Quarto that takes a lot of extra work in markdown ↪
Alison Hill (@apreshill; 5/0): @MeganRisdal I’ll confess to still loving my Hugo site. But I designed my own theme and pushed for changes to the blogdown package to make Hugo easier to maintain 🤷♀️ if I were starting anew and didn’t like the #HugoApero theme and didn’t know Hugo I would choose @quarto_pub ↪
Gordon Shotwell (@gshotwell; 1/0): @adamjnafa I ported my blogdown page over in maybe two hours? I also recommend skipping CI entirely and using the quarto publish utility. ↪
tidyverse tweets (@tidyversetweets; 0/1): File to import not found or unreadable: ../vendor/bootstrap/scss/bootstrap. in blogdown #tidyverse #rstats https://t.co/xr6kr8xUuw ↪
bookdown
Indrajeet Patil (इंद्रजीत पाटील) (@patilindrajeets; 50/8): ICYMI, instead of creating one long document, you can create reusable child RMarkdown or Quarto documents and stitch them together in single or multiple parent documents. 👨👦
What’s more, you can also create child templates!
For more, see:
https://t.co/QOtOxwwmbN#rstats https://t.co/nhrlmGXhem ↪
平山 幸一郎｜クライエント中心のディスカッション型 (@hirayama614; 26/1): 最近のメタ解析や効果量の勉強は以下のサイトがすごく役立ってます。解析方法や計算式の解釈に悩んでいる方はぜひ。
3 効果量 | Doing Meta-Analysis in R https://t.co/JieZH8iKdx ↪
Marcelo Alves (@marceloufsj; 20/3): APIs for social scientists:
A collaborative review
https://t.co/4ttxG18jnH ↪
ニュー南武 (@tachnopolis25; 13/2): 「Geocomptation with R」ほどガッツリ勉強する必要がない方向け。
A Minimal Introduction to GIS (in R) https://t.co/62Z2wSqxO2 #rmarkdown #bookdown ↪
Louis R Nemzer (@BiophysicsFL; 4/1): Even if you are ideologically opposed (or just uncomfortable) with assigning prior probabilities, you can use the Bayesian odds factor to see how much the probabilities should change in light of any observation - or lack of expected observation.
https://t.co/Y2X1DHwui1 https://t.co/4QjWFfpNaQ ↪
Chitu Okoli (@tripartio; 3/5): Notes on Changing from Rmarkdown/Bookdown to Quarto | Credibly Curious https://t.co/HhyqjmiSkR #rstats ↪
Max Kuhn (@topepos; 2/1): @CoulSim @rstats_tweets Parameterized reports?
https://t.co/ZUHxTRfbNR ↪
BayesAna 🏳️🌈🧚🏼♂️ (@AnaBayes; 2/0): @Palomitosis Un archivo Markdown es un archivo de texto que tiene ventanitas (chunks) abiertas a R. En esas ventanas lo que escribes es como lo que escribirías en un Script.
Si quieres quedarte solo con el código y pasarlo a un Script, prueba con la función purl
https://t.co/5Pa0oRV6sq ↪
tidyverse tweets (@tidyversetweets; 1/1): relationship between Quarto and rmarkdown, knitr, pandoc, bookdown, jupyter #tidyverse #rstats https://t.co/HC8NUCcbel ↪
Rogue HCI Guy (@rogue_hci; 1/0): @tcarpenter216 We did that in undergrad stats (chisq, counts, histograms). Reminds me of that thing that I recently am increasingly recommending to ppl: https://t.co/whURnZsuzU ↪
Felix Lennert (@FelixLennert; 1/0): @CEDurkheim The script can be found here: https://t.co/reGDhFHjEz ↪
Andrew Mack (@Gingfacekillah; 1/0): @DeclanMoloney99 https://t.co/Op1BbE3sy5
https://t.co/SrVxR7sj5v
https://t.co/TVzSPalDR3 ↪
knitr
tidyverse tweets (@tidyversetweets; 1/2): How to automatically knitr::include_graphics many figures come from the same folder in R-markdown #tidyverse #rstats https://t.co/75jvoVIGj1 ↪
JJ Merelo (@jjmerelo; 1/2): It’s #openscience: paper written in knitr, source here https://t.co/hxljfGSx6c
It’s on its way to peer review, so any suggestion is welcome. ↪
R Development News and blog (@R_dev_news; 1/0): 2022-11-24: CHANGES IN R 4.2.2 patched BUG FIXES
Running examples from HTML documentation now restores previous knitr settings and options (PR#18420). https://t.co/OoXzIxAlAS ↪
EHolmes (@eeholm; 1/0): @eyayaw Also weirdly you can use something like title: “
r 1+1”, but echo wants a boolean not a string, so something like echo: “TRUE” or echo: “r knitr::is_html_output()” doesn’t work even if you set validate-yaml: false to skip the string check. @MickaelCanouil ↪
Eyayaw Beze (@eyayaw; 0/1): What is the #quartopub equivalent of knitr::is_html_output()?
Or, how can I use expressions in the yaml?format:
pdf: default
html: default
execute:
echo: !expr knitr::is_html_output()
— ↪
tidyverse tweets (@tidyversetweets; 0/1): knitr::include_graphics: safe way to read from the project directory? #tidyverse #rstats https://t.co/BE5JlWuXE1 ↪
tinytex
Norimitsu Nishida (@NorimitsuNishi1; 11/2): >Rは最高である
😊quarto、便利ですよね。PDFファイルRmarkdownのイメージで試してなかったのですが、ふつう（tinytex入れるだけで出力できるなら積極的に使いたいです） https://t.co/lA64ARFRY3 ↪
xaringan
Maikon (@MaikonSanyel; 6/1): @msales_xaringan @DirSegueDir @KaioLopes_ melhor passar vergonha, do que defender bandido ↪
tidyverse tweets (@tidyversetweets; 1/3): Multiple images in Xaringan Title Slide #tidyverse #rstats https://t.co/1GN9LepM9r ↪
Dona Chica Maria🇧🇷 JB22 (@Fabiana30655672; 1/1): @MaikonSanyel @msales_xaringan @DirSegueDir @KaioLopes_ Na cara não 🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣 ↪
tidyverse tweets (@tidyversetweets; 0/1): How can I add an image to the title slide in Rmarkdown (xaringan)? #tidyverse #rstats https://t.co/egGe9bvIES ↪