#rstats
R Function A Day (@rfunctionaday; 268/33): Pie charts provide an informative but imperfect way to visualize categorical data, but squared pie (or waffle) charts overcome some of these imperfections.
The {waffle} function from the eponymous 📦 easily produces them 🧇
https://t.co/OxtCuCMhHF
#rstats #DataScience https://t.co/1ui2OqHJ8k ↪
Dr. Ganapathi Pulipaka 🇺🇸 (@gp_pulipaka; 266/159): I Made a Git Cheat-Sheet by @elmiracodes. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://t.co/EAzDn0cs4w ↪
Cara Thompson (@cararthompson; 248/23): My go-to way of annotating #rstats plots is {ggtext}’s geom_textbox(). Super versatile and easy to customise - once you remember what the options do!
I made this a while ago to keep me right, along with a quick write-up. Hope someone else finds it useful!
https://t.co/4rcjUSQVkW https://t.co/KaH17LQ7LH ↪
Dr. Dominic Royé (@dr_xeo; 226/50): Distribución de antenas de móviles (3G y 4G) en la Península Ibérica y las Islas Baleares y Canarias. Parece un sistema de venas. Me encantan mapas de puntos, siempre me dejan sorprendidos cuántos distintos datos reflejan nuestro ambiente antropogénico. #rstats #dataviz #rspatial https://t.co/CSjK8omwxR ↪
Syeda Sheraj Ali (@Sheraj99; 204/152): I made a Git cheat sheet #BigData #Analytics #DataScience #AI #MachineLearning #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #Flutter #Jupyter #blockchain #NLProc #DevOps #HTML https://t.co/01ZED0aZG2 ↪
R posts you might have missed! (@icymi_r; 189/42): ✍️🎓 Generalized Additive Models in R · A Free Interactive Course
👤 Noam Ross @noamross
🔗 https://t.co/GhWluIfWlh
#rstats #datascience https://t.co/xM2b3TWvH8 ↪
Bojana Vukov (@BojanaVukov; 144/112): 🎁A great gift for the kids, and maybe some adults!😍
📜Cc: @CaLeSS22 #MachineLearning #AI #Python #Rstats #Reactjs #IoT #IIoT #Linux #Serverless #flutter #javascript #TensorFlow #BigData #CloudComputing #Robotics #100DaysOfCode https://t.co/R6r30CYWhx ↪
Bojana Vukov (@BojanaVukov; 134/109): 🗣️American Sign Language Translator🗣️
📜Cc: @PawlowskiMario #Analytics #MachineLearning #AI #Python #Rstats #Reactjs #IoT #IIoT #Linux #Serverless #flutter #javascript #TensorFlow #BigData #CloudComputing #Robotics #100DaysOfCode #ArtificialIntelligence https://t.co/ZNlgmPFgXw https://t.co/3PzjoregxO ↪
Shahul Hameed.M 🇮🇳 (@sh_hameed; 112/104): A Cheat Sheets for all the #Data Structures in #Python
@ingliguori #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #DigitalTransformation https://t.co/Dk0KEjtXo7 ↪
Helen Yu (@YuHelenYu; 107/93): Learning about #Database.
#100DaysOfCode #DataScience #BigData #AI #womeninSTEM #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #javascript #ReactJS #golang #CloudComputing #Linux #programming #Coding https://t.co/zrYTJ0BWY3 ↪
Giuliano Liguori (@ingliguori; 100/108): #Infographic: Skills Required in Different IT Sectors
V @ingliguori ht @mvollmer1 #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://t.co/tsuIHWcqOW ↪
🙋PYTHONPROFESSOR (@pythonpro22; 96/114): Data structures in #Python #BigData #Analytics #AI #DataScience #IoT #IIoT #Azure #PyTorch #Cython #RStats #DotNet #C #CPP #Java #CSharp #Flutter #SQL #TensorFlow #JavaScript #ReactJS #HTML5 #MachineLearning #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode👍 https://t.co/DGTtkvPPrA ↪
blogdown
Alison Presmanes Hill (@apreshill; 43/4): It’s still a Hugo site ya’ll #GoHugo #blogdown
And awesome design conceived of by @dcossyle 🦒
I loved to watch this design grow up, so happy to see it hatch! 🐣🐤🐓 https://t.co/itsSYDq4Nm ↪
🍁🍂 Andrew Heiss 🍂🍁 (@andrewheiss; 19/1): See here for full documentation for these websites: https://t.co/abIOw343Hr
It’s like a suuuper simplified stripped down version of blogdown or distill—it basically knits all the Rmd files in a folder and sticks them together as a static website ↪
Catherine Kim, PhD (@fishiintheC; 10/3): Excited to present at @ResBazQld next Thursday.
Even though I am definitely not an expert in #R #Git #blogdown it’s about having a go and sharing experiences.
Check out the other great talks and workshops!
#WomenWhoCode #RLadies #R4DS https://t.co/fxOHyLsn51 ↪
🍁🍂 Andrew Heiss 🍂🍁 (@andrewheiss; 7/1): @nickchk Did you follow this guide? https://t.co/t5lAvdUpXN ↪
Marisa Henry (@marisalyn; 6/0): finally put together a homepage using the wonderful {postcards} 📦 ! next step is actually setting up a blog with {blogdown} 🤗
https://t.co/IcvaiRXCZS ↪
Nick HK (@nickchk; 4/1): I have, for the second time, attempted and failed to set up blogdown. This time got as far as getting it to generate blog posts, but not with MathJAX or with the header stuff (blog title, links, etc). I followed a guide but it didn’t help Does anyone know how to use this thing? ↪
Grant McDermott (@grant_mcdermott; 3/0): @nickchk @arthurturrell Mine is set up to integrate Jekyll + Rmd/Blogdown etc. You should just be able to fork it and replace the contents with your own. https://t.co/YZqiAPPvmN
Otherwise for a quick and minimal setup, endorse distill. ↪
Veerle van Son 👩💻 (@veerlevanson; 2/1): #Rladies, add your blog to the list!
#rstats #blogdown #distill https://t.co/ReBxJF1wtF ↪
Hugo (@heyitsmehugo; 1/1): I’m kinda afraid to ask but… what has changed with Hugo and #blogdown in the last 2 years? I want to go back to building up my website. Should I be too scared? Any good recent tutorial recommendation? #RStats @rstats4ds @rstudiotips ↪
Tim Mastny (@timmastny; 1/1): I think I figured out the flashing font problem on #rstats #blogdown / #hugo websites! In the theme’s header, you need to preload the font css: https://t.co/OxYXC8sGeB https://t.co/5DwB3Nzj91 ↪
ava kiai (@avakiai; 1/0): @giorgioarcara @ilSaggio_ If you’re comfortable with git, I would actually recommend bypassing blogdown and using Hugo (to design and build) and GitHub Pages (to host) directly. Then you don’t need to go through RStudio for small updates to your site. ↪
Antonio Maffei (@ilSaggio_; 1/0): @giorgioarcara Blogdown for content and Netlify for hosting is the best combo https://t.co/ERryka707q ↪
Kiddo Daniel BBBradford 🧠⚽️🐶 (@drdanbradford; 1/0): @AGallyer Spent a bunch of time on this and couldn’t get it to work within the limitations of distill (vs blogdown with Hugo). I think the easier solution people have used in the past is no longer supported. ↪
Alex Albright (@AllbriteAllday; 1/0): @nickchk I use blogdown (XMin theme) and deploy with netlify from my GitHub repo (continuous deployment)
Here’s my explainer in case it helps:
https://t.co/hgJPy1Zfwb ↪
Ken Butler (@KenButler12; 1/0): @nickchk it seems to be a lot less finicky than blogdown was. create_blog to create a whole empty blog (and it creates all the necessary files for you), create_post to create a new blog post (gives you a template). ↪
Ken Butler (@KenButler12; 1/0): @nickchk I think distill is the way to go for this now. I just moved my R-flavoured blog from blogdown to distill. ↪
Nick HK (@nickchk; 1/0): @arthurturrell The first time I failed to get blogdown to work I went on to fail to get Jekyll to work :P haven’t tried it in a while though ↪
Nick HK (@nickchk; 1/0): @lazyresearch_r Yep. If I was going to do it properly I’d do it with Rmarkdown via blogdown ↪
Adem O. (@lazyresearch_r; 1/0): @nickchk I have recently acquainted with the Rmarkdown and blogdown. I have fallen in love. BTW, I really liked how you explain the intuition here and in general too. ↪
bookdown
R posts you might have missed! (@icymi_r; 128/18): 📚 Doing Bayesian Data Analysis in brms and the tidyverse
👤 Solomon Kurz @solomonkurz
🔗 https://t.co/fsIGJptgjK
#rstats #datascience ↪
Ryan Garnett (@ryangarnett78; 60/6): Oh no another R data book! I have dipped my toe into the R data book writing pool, with a spin. #RStats
Inspiration from and thanks to @thomas_mock @hadleywickham @sharlagelfand @MDAEnv
Data Analytics with R: A Recipe Book https://t.co/uDvwus8Y6t #rmarkdown #bookdown ↪
Solomon Kurz (@SolomonKurz; 51/13): New blog post up!
https://t.co/Vb451LYrYK
This is a rough draft of @HenrikSingmann and @mattansb’s #brms conditional logistic regression workflows that will eventually make its way into this ebook (https://t.co/7N9ZqHMHWe). In the meantime, add any constructive criticism here ↪
Colin Fay 🤘 (@_ColinFay; 37/0): Me: “I wish there is a bookdown GitHub template”
Well, guess what?
https://t.co/MMrazm8kPb https://t.co/ojFQSinS1o ↪
R posts you might have missed! (@icymi_r; 34/11): ✍️👥 An R Community Public Library · R Views
👤 Joseph Rickert @rstudiojoe
🔗 https://t.co/nuOpsU52br
#rstats #datascience ↪
Sudarshan Shetty (Shetty SA) (@gutmicrobe; 4/0): @JWoodelius @UrFreundHannah In Rmarkdown you can also hide codes and show only the figures and annotated text. This is useful when sharing with people not interested in codes.
https://t.co/3mTcUi6TzZ ↪
David Makoko (@Makdavy1; 2/3): https://t.co/hrzz3ntd5q
#RStats #DataScience ↪
tidyverse tweets (@tidyversetweets; 2/2): bookdown custom blocks don’t work with pdf output #tidyverse #rstats https://t.co/DXi6rnD2Vm ↪
Chase Clark, PhD (@ChasingMicrobes; 2/1): Wait until they find out about compiling in #rstats 🤣:
https://t.co/Cy5vL1kOzONot coding:
my_func <- function(x) x+1Coding:
library(“compiler”)
cmpfun(my_func) https://t.co/ziKZGuB0ty ↪
Dave Braze (@davidbraze; 2/0): @latentchange @schotz Have you tried caching slow code chunks?
https://t.co/wNrQXCOzj7 ↪
Solomon Kurz (@SolomonKurz; 2/0): @Omid_Ghasemi21 Yes, the parameters are initially on the log-odds scale. As to best practices, you’ll have to look elsewhere for that; I’m a newbie. But I will at least provide extensive examples of how to fit and post process these in the next #bookdown update (ETA: 2-6 months). ↪
Christopher Barrie (@cbarrie; 2/0): @fhollenbach https://t.co/5SYZlOuFJ4 and https://t.co/WwigO3RLly and https://t.co/B37XQVwgkW all v good ↪
tidyverse tweets (@tidyversetweets; 1/2): Change specific section title in bookdown #tidyverse #rstats https://t.co/KXJSyuHsYk ↪
心理的に柔軟なクジラ (@matsuchiy; 1/0): bookdownのbs4_book，ここにある通りに進んだら簡単にできた！美しい… これは同人誌執筆がはかどる（pdfのことは考えないでおく）
https://t.co/654Gt8BaI6 https://t.co/oBZzmxqqZn ↪
ig. (@ansells_cow; 1/0): @nickchk fair. when I was prepping a site using bookdown the 1.5 seconds that my formulas took to render drove me insane because it would jitter the layout so I had to explore alternatives 😅 ↪
Bruno Crotman (@brunocrotman; 1/0): @OnofrioTarsio divirta-se: https://t.co/tJRGuKLECH ↪
Vikram_Singh Rawat (@Guru_GyanKhoji; 1/0): @Rhiannon_Kirton @rstats_tweets And if you really just want to compare 2 distributions you must read this section here
Hope it helps
https://t.co/Ry9ehzf4Ud ↪
Nithin .M (@nithinnithu_m; 1/0): @condedehuamanga Rmarkdown/bookdown is amazing.. once you start writing in these, there is no going back ↪
Tim Wölfle (@timwoelfle; 0/1): Analysis code (https://t.co/BfiMXslCRt) and data are openly available (https://t.co/a06lbGF2LM). Note how child documents are leveraged in RMarkdown to efficiently parametrize (sensitivity) analyses (https://t.co/VJHJFnPd59). @paperswithcode 3/3 ↪
Sébastien Rochette (@StatnMap; 0/1): #rstats - ⚠️If you use {attachment} in your CI for bookdown using
attachment::att_to_desc_from_is(), I may have break it in the last version on CRAN…🚨
I will fix it asap because I also need it to work !
Sorry for the inconvenience.
https://t.co/b52SmKjVLl ↪
knitr
🍁🍂 Andrew Heiss 🍂🍁 (@andrewheiss; 176/22): Regular reminder that @tjmahr’s post about using lists for inline reporting in R Markdown #rstats is incredible and we should all be doing this all the time https://t.co/vTQIcj1Rex
This works for anything that broom::tidy can handle (brms models, t-tests, whatever)! https://t.co/XJa3OOYE8c ↪
tj mahr 🍍🍕 (@tjmahr; 7/0): confidential to knitr/rmarkdown nerds: omg did i just make downlit work on generic knitr output?! https://t.co/foC33wxyEc ↪
Lauren Fish (@lauren_the_fish; 2/0): tried to google “knitr” and got a terrible reminder that apple/autofinish is
always listeninghttps://t.co/zB33VmWfb1 ↪
수아 (@Dc6Ord7feBSPm8X; 1/0): 조교당하러 부담없이 ❤
들어와 맞춰줄게 ❤
노페이 만남 서로즐기자 ❤
(미성년자 출입금지) ❤라인 ww3111❤❤
#주인님 #멜돔 #로망트 #교육 #조련 #최음제 #청주 #평택
KNITR450 ↪
William Melo (@williamcorrearj; 1/0): Postei esse vídeo no Insta (aliás, me segue lá: @profwilliammelo). Produzindo uma tabelinha de alunos inscritos no sorteio do IFF - ensino médio, com três pacotes no R: Knitr, kableExtra e Tidyverse. Papo de 1 minuto pra ter a tabela pronta pra enviar aos alunos 🔥
#AsmrCoding https://t.co/8UtJwT3POX ↪
Emil Hvitfeldt (@Emil_Hvitfeldt; 1/0): @KenButler12 That is true, but that is a {knitr} restriction not R ↪
Sebastian Klaus (@SKlausDev; 0/3): R Programming: Cache Time-Consuming Chunks via knitr by @TZJY67 #MachineLearning #AI #DeepLearning #DataScience https://t.co/bIzpYcaq5V ↪
tinytex
António Filipe Fonseca (@antfilfon; 3/0): @MoreiraAmilcar @AchimZeileis @R4Statistics @djnavarro @JGomes_PT try:
install.packages(’tinytex’)
library(’tinytext’)
tinytex::install_tinytex()
tinytex::tlmgr_install(“hyphen-portuguese”)it should do ↪
Amilcar Moreira (@MoreiraAmilcar; 2/0): @antfilfon @AchimZeileis @R4Statistics @djnavarro @JGomes_PT Thank’s, António! That was my intuition also… but I have looked and I can’t find any guidance on how to do that in tinytex… do you know of any other Tex environment that I could use and wold be easier to configure? Thanks again! ↪
心理的に柔軟なクジラ (@matsuchiy; 1/0): pdf出力成功！以前実行したときとPCが変わっており，単にtinytex::install_tinytex()ができてないだけだった。。 ↪
xaringan
RStudio (@rstudio; 112/32): There are a lot of benefits to reproducible presentations. R Views’ guest post by @spcanelon explores how {xaringan} and github pages make it easy to deploy & share your slidedeck straight from your favorite IDE.
https://t.co/ChIOPTf1nt
#rstats #rstudio https://t.co/KqdNBWXZQ4 ↪
Tania L. Maxwell (@tania_maxwell7; 28/3): 💻Looking for a basic introduction to #RStats, #dplyr, #ggplot2, and statistical analyses?
Or, example slides in #RMarkdown using the xaringan package?
Check out the LOVE’R course I gave 👇
https://t.co/pUjq1lhfyy
#phdchat #AcademicTwitter ↪
えいつぴ (@eitsupi; 17/0): VSCode-R快適だなあ。画面を好きなように分割して複数のファイル見比べながらの編集は良いものだし、xaringanパッケージのプレビュー機能（inf_mr関数）もちゃんと動く。 https://t.co/IkzJmvngdl ↪
R-bloggers (@Rbloggers; 15/5): Deploying xaringan Slides with GitHub Pages {https://t.co/uAH1nod2f2} #rstats #DataScience ↪
R Weekly Live (@rweekly_live; 4/4): Deploying xaringan Slides with GitHub Pages #rstats #datascience https://t.co/oaPCs8p7cY ↪
Harshvardhan (@harshbutjust; 3/2): This week’s edition of Next is out! #rstats Check @EmilyRiederer on pitfalls of ML; @pjs_228 on R for M1 users; @cartesianfaith’s reverse engineering of @business’s COVID-19 resilience ranking; @xieyihui’s Xaringan; @Amit_Levinson’s journey in R. And more https://t.co/r4U254jRHK ↪
Yannis Galanakis (@YannisGalanakis; 3/0): 🎙️Some #html5 #xaringan complement the material 👇
11/n
https://t.co/rpWDBBSlya ↪
𝖇𝖗𝖆𝖇𝖆 (@melaraujx; 3/0): a música fala “brota na minha casa q eu vou te dar um chá bem dado” e eu tava cantando “vou te dar um xaringan” tipo ?? ↪
𝘓𝒖𝒊𝒛 (@lzfeelipe; 2/0): Pqp Michael tá com xaringan? Kkkkkkkkkkkkkk https://t.co/4fmJEfPXk6 ↪
Jeff Monroe (@monroeanalytics; 1/2): Deploying xaringan Slides with GitHub Pages https://t.co/G2YK3HyiM9 ↪
tidyverse tweets (@tidyversetweets; 1/1): How can I create vertical lines indicating the code language in a
xaringanpresentation? #tidyverse #rstats https://t.co/SBRrwvPqO1 ↪
Andrew McDavid (@EquivMeasures; 1/0): Any r-stats and xaringan users who have found a way to convert a slideshow into a single-page boring html that’s suitable for skimming rather than lecturing off of? ↪
Jonathan Jayes (@JonathanJayes; 1/0): @hlynur @rstudio Thank you Hlynur - it was great to see the work that your R shop is doing. Thanks too for sharing your GitHub repo with the {xaringan} slides, they were lovely. I look forward to visiting your swimming pools one day! ↪
yihui.name
R Weekly Live (@rweekly_live; 8/4): blogdown v1.6: Support for the config/ Directory, and Improvements in install_hugo()/new_post() @xieyihui #rstats #datascience https://t.co/PCmyDQnMI8 ↪
handongxue (@likev; 4/4): @majimerindo 因果关系可能不像观察中的那样明显，甚至观察到的因果关系可能并不存在。车祸更容易发生在家的附近，只是因为开车的人大部分时间在家的附近开，而开远途相对少。离家的远近，与车祸是否更容易发生，并没有关系。
摘自 谢益辉 @xieyihui “《随机漫步的傻瓜》读书笔记”
https://t.co/w9HQPSnQrp ↪