{
  "title": "Learn #SQL with these Online Courses https://t.co/cuHN1v9ZnT #DataScience #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #IoT https://t.co/2R319GzshD",
  "date": "2022-06-12"
}

# #rstats

> **Syeda Sheraj Ali** (@Sheraj99; 595/209): Learn #SQL with these Online Courses https://t.co/cuHN1v9ZnT #DataScience #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #IoT https://t.co/2R319GzshD  [&#8618;](https://twitter.com/Sheraj99/status/1535760059694731265)

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> **Parvez** (@parvezshahshaik; 574/262): Best of #Devops Roadmap #MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #GitHub #IoT #MLOps https://t.co/9Oaw7t7GbZ  [&#8618;](https://twitter.com/parvezshahshaik/status/1535481966245597186)

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> **Ninaad Lasrado, Ph.D** (@LasradoNinaad; 429/48): Data available upon reasonable request. Yeah okay. 🙄
> >
> @lpachter @theHumanBorch @sinabooeshaghi 
> >
> Authors should not make these statements, if they don’t plan to share the data in the first place 😒
> >
> #RStats https://t.co/rdOEJ8WvDQ  [&#8618;](https://twitter.com/LasradoNinaad/status/1535675369898053632)

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> **Giuliano Liguori** (@ingliguori; 428/196): #Infographic: Skills for #DataScience
> Via @ingliguori
> #ArtificialIntelligence #AI #ML #MachineLearning #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding  #javascript #rstats #100DaysOfCode #programming #SQL #MLOps https://t.co/NkZR3Y5qYO  [&#8618;](https://twitter.com/ingliguori/status/1535528957663186944)

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> **R Markdown** (@rmarkdown; 423/99): Read for free "R Graphics Cookbook, 2nd edition" by @winston_chang - a hands-on guide with more than 150 recipes to help you quickly create high-quality diagrams.
> >
> https://t.co/oDtzC8z2Nq
> >
> #rstats #bookdown #rmarkdown #dataviz https://t.co/wWpJeILbDA  [&#8618;](https://twitter.com/rmarkdown/status/1535556011758694402)

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> **Catherine Adenle** (@CatherineAdenle; 387/182): Infographic: Machine Learning defined. 
> >
> #ML #MachineLearning #BigData #Data #DataScience #DeepLearning  #AI #DataScientists #Analytics #Rstats #Python #Tech #IIoT #NLP #java #Coding #womenintech #devcommunity #technology #100daysofcode https://t.co/BGD4CkRAoC  [&#8618;](https://twitter.com/CatherineAdenle/status/1535371013034151937)

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> **Arthur Welle** (@ArthurWelle; 364/72): Pipes in #RStats! Functions are verbs, aplied to objects. With pipes "|&gt;" we arrange functions in the order that we would think of the actions. Readability for the win! (And I like to read the pipe as "and then...")🎂🥣🥮👩‍🍳🔪🍴 https://t.co/rUrcugfvSk  [&#8618;](https://twitter.com/ArthurWelle/status/1535429654760284161)

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> **Giuliano Liguori** (@ingliguori; 363/200): #Infographic: Skills for #DataScience
> Via @ingliguori
> #ArtificialIntelligence #AI #ML #MachineLearning #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding  #javascript #rstats #100DaysOfCode #programming #SQL #MLOps https://t.co/5nW2BjBeOT  [&#8618;](https://twitter.com/ingliguori/status/1535347632717107200)

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> **Matt Dancho (Business Science)** (@mdancho84; 352/49): This used to be me when I was first learning linear regression. 😂
> >
> But here's what's changed for me.
> >
> #rstats https://t.co/WdNImyN02W  [&#8618;](https://twitter.com/mdancho84/status/1535600394214297603)

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> **Jenny Bryan** (@JennyBryan; 296/45): The chapter on **testing** has been revised, as @hadleywickham and I work towards the 2nd ed of R Packages. It's a big expansion and will probably split into multiple chapters, but if you're a testthat nerd 🤓 have a look and see what you think! #rstats 
> >
> https://t.co/bd2DZ2uLJD  [&#8618;](https://twitter.com/JennyBryan/status/1535339178812067840)

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> **Syeda Sheraj Ali** (@Sheraj99; 283/154): #Python Roadmap. #MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #GitHub #IoT #MLOps #blockchain #DL https://t.co/95WWOaLfBu  [&#8618;](https://twitter.com/Sheraj99/status/1535418244089229318)

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> **Sheikh Sojib #SeoExpert** (@SojibSeoexpert; 281/149): Skills needs for specific data roles!
> >
> #MachineLearning #DataScience #SQL #cybersecuritytips  #BigData #Analytics  #Python #RStats #TensorFlow #JavaScript #ReactJS  #AI #IIoT #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS  #NLP #IoT https://t.co/RMFgvxQTQH  [&#8618;](https://twitter.com/SojibSeoexpert/status/1535470702240727040)

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> **Tanjila #Smm** (@Tanjilasmm; 190/97): Python Debugging Cheat Sheet
> >
>  #MachineLearning #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP #GitHub #IoT https://t.co/ujO83mkWcp  [&#8618;](https://twitter.com/Tanjilasmm/status/1535466676288094208)

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> **Syeda Sheraj Ali** (@Sheraj99; 184/96): Imbalanced #Data in Classification https://t.co/XJ3SbEWGjs #DataScience #SQL #Cybersecurity #BigData #Analytics #AI #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode #NodeJS #golang #NLP https://t.co/rzvrG2GDzB  [&#8618;](https://twitter.com/Sheraj99/status/1535416800241917953)

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> **Ritik Sapat** (@SapatRitik; 176/104): Skills for #DataScience
> Via @ingliguori
> #ArtificialIntelligence #AI #ML #MachineLearning #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding  #javascript #rstats #100DaysOfCode #programming #SQL #MLOps https://t.co/uD8lKZIydV  [&#8618;](https://twitter.com/SapatRitik/status/1535685932753604608)

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> **Giuliano Liguori** (@ingliguori; 159/85): #Infographic: #FullstackDevelopers Skills
> Via @ingliguori
> #ArtificialIntelligence #AI #ML #DataScience #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding  #javascript #rstats #100DaysOfCode #programming #SQL #MLOps #MachineLearning https://t.co/KCuQvvwJ99  [&#8618;](https://twitter.com/ingliguori/status/1535770463368056835)

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> **Giuliano Liguori** (@ingliguori; 159/77): #Infographic: Skills for #MachineLearning
> Via @ingliguori
> #ArtificialIntelligence #AI #ML #DataScience #DataScientists #innovation #CodeNewbies #Tech #deeplearning #CyberSecurity #nocode #Python #Coding  #javascript #rstats #100DaysOfCode #programming #SQL #MLOps https://t.co/beLaloaUDf  [&#8618;](https://twitter.com/ingliguori/status/1535654009205399555)

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> **Dr. Ganapathi Pulipaka 🇺🇸** (@gp_pulipaka; 132/79): 6 Books to Help You Learn Data #Science! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode 
> https://t.co/mK3bIM3ojX https://t.co/KUuqUaeeXO  [&#8618;](https://twitter.com/gp_pulipaka/status/1535829506874871808)

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> **J. A. Rayim** (@rayim_it; 120/91): The Simplest #MachineLearning Cheat-Sheet Ever! #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://t.co/Y6C1Yv6hiQ  [&#8618;](https://twitter.com/rayim_it/status/1535490761378017280)

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# blogdown

> **Nils Reimer** (@reimthyme; 5/0): @MyerAnnalisa I like your website, it looks great! I'm currently redesigning my website in blogdown using the Hugo Apero theme (https://t.co/weaJPXdgYO). I like blogdown + Hugo for its ease of use, once you've got the hang of it.  [&#8618;](https://twitter.com/reimthyme/status/1534601305481564161)

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> **Jeremy Selva** (@JauntyJJS; 4/2): After months of trial and error, I have finally created a website for myself using the #HugoApero theme by @apreshill. Thank you to @jvelezmagic, @rlbarter, @spcanelon and many others for your inspiring and motivational examples. #blogdown
> https://t.co/izy537m8TH  [&#8618;](https://twitter.com/JauntyJJS/status/1534077695088553984)

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> **Harshvardhan** (@harshbutjust; 4/0): @kmart_02 @PhDVoice @owlstown hands down. If you like #rstats, check out Blogdown too!  [&#8618;](https://twitter.com/harshbutjust/status/1534575519915814914)

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> **Luke Miratrix** (@LMiratrix; 3/0): @KLdivergence One I like which is R and blogdown Hugo stuff is @jepusto at https://t.co/gUFF7ptvPj  [&#8618;](https://twitter.com/LMiratrix/status/1533883986480705538)

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> **Francisco Yirá 📊🇨🇱🇺🇦** (@francisco_yira; 1/1): I think the folder structure that {blogdown} uses is pretty reasonable but kind of wish there was a way to know to which post each of these belong without having to look at the file 😬 #rstats https://t.co/8JHOi9Q3RS  [&#8618;](https://twitter.com/francisco_yira/status/1535288808652013569)

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> **Patrick Mineault** (@patrickmineault; 1/0): @SoundaryaRak Very cool! I like your blogdown R blog too - is it blogdown?  [&#8618;](https://twitter.com/patrickmineault/status/1535446780950810624)

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> **Ming "Tommy" Tang** (@tangming2005; 1/0): @patrickmineault @wowchemy Blogdown*  [&#8618;](https://twitter.com/tangming2005/status/1534636152476643336)

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> **Katie Press 🤵‍♀️🏳️‍🌈** (@katie_press; 1/0): @KLdivergence I use blogdown with Hugo Apero theme, which is optimized for R and really beautiful IMO.  [&#8618;](https://twitter.com/katie_press/status/1533875321497329664)

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> **Todd Jones 🦊** (@toddrjones; 1/0): @EmmaXianhua_Zai @MarketPowerYT https://t.co/jeftw3cKhd  [&#8618;](https://twitter.com/toddrjones/status/1533525575750541313)

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# bookdown

> **CiteDrive** (@citedrive; 414/112): Check this out 😍: "Introduction to Data Science --Data Analysis and Prediction Algorithms with R" by @rafalab is available as a free #bookdown. 
> >
> https://t.co/aVYCIQY0oA
> >
> #rstats #DataScience #dataanalysis #Algorithms #rmarkdown https://t.co/Ad9Q4TJ23I  [&#8618;](https://twitter.com/citedrive/status/1533687589483515904)

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> **Richard McElreath 🦔** (@rlmcelreath; 157/22): Calculating a causal effect often means post-stratification to some target population. Coefficients aren't enough. Some ckear case studies with code from Juan Lopez-Martin, Justin H. Phillips, and Andrew Gelman (none of whom are on twitter it seems?)  https://t.co/cYpeqHzNI0  [&#8618;](https://twitter.com/rlmcelreath/status/1533766640466333701)

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> **Sato Shuntaro｜佐藤俊太朗** (@Shuntarooo3; 90/14): 欠測値の処理について、Rコードも豊富に載っている書籍がweb（bookdown）で見れました。
> 表紙なんか見たことあるなーと思ったら、物理的な書籍として売っている本でした。
> https://t.co/CN9VlEsGXI https://t.co/XimSVmq29i  [&#8618;](https://twitter.com/Shuntarooo3/status/1534366166927708161)

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> **Shun-ya KAWABATA（川端俊也）** (@KWBT_ECON; 57/10): よさげなレクチャーノートを見つけた
> >
> Fundamental Theorems for Econometrics
> https://t.co/yUzUCgeqsk  [&#8618;](https://twitter.com/KWBT_ECON/status/1533812204348116993)

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> **Antonio M Quispe 🇵🇪 #ProtégetePerú = #vacúnate✌** (@drantonioquispe; 34/14): "Introducción a la Ciencia de Datos"
> >
> La ciencia de datos es una de las carreras mejores pagadas hoy en día. 
> >
> Así q aquí les dejo un excelente recurso para que fortalezcan sus habilidades en #DataScience !  
> >
> Gracias @rafalab x este fabuloso #bookdown! 
> >
> https://t.co/1KvWlFfFcQ https://t.co/QvD8tlcuaI  [&#8618;](https://twitter.com/drantonioquispe/status/1533834882824163329)

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> **Solomon Kurz** (@SolomonKurz; 20/3): The discourse in this thread suggests there's a big content hole waiting to be filled. Do you love experimental research design and free-access #bookdown-type ebooks? Your ebook could become the next big standard. Early career researchers, I'm looking at you. Rise and shine! https://t.co/T1AoxUCe5y  [&#8618;](https://twitter.com/SolomonKurz/status/1535322100940034048)

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> **Geraldine Klarenberg, PhD (she/her)** (@DinaKla; 13/3): @WeAreRLadies For true beginners doing self-study, @rdpeng's bookdown books for base R (https://t.co/e8VWxzUEXw). Then @rstudio Cloud tutorials for tidyverse. Only then #R4DS for more in-depth understanding (sorry @hadleywickham). For more stats, @djnavarro's book https://t.co/CwFAcXAQdX (1/2)  [&#8618;](https://twitter.com/DinaKla/status/1533506806089232387)

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> **Ming "Tommy" Tang** (@tangming2005; 10/2): Feature Engineering and Selection: A Practical Approach for Predictive Models https://t.co/s2KzE17Ziq #rstats  [&#8618;](https://twitter.com/tangming2005/status/1534362428598890498)

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> **Antonio M Quispe 🇵🇪 #ProtégetePerú = #vacúnate✌** (@drantonioquispe; 8/3): "Introducción a la Ciencia de Datos: Bookdown en Español"
> >
> Y encima se dieron el trabajo de traducirlo al español!!!
> >
> Así q sin excusas, jejeje...
> >
> https://t.co/kWp1ZJBfyb https://t.co/WxXkd7F0oc  [&#8618;](https://twitter.com/drantonioquispe/status/1533841061419925504)

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> **Dan Quintana** (@dsquintana; 7/0): @ManuelScheftner Something like a multilevel meta-analysis is a better approach, I think, as you don't lose any info https://t.co/WJpisiN9xv  [&#8618;](https://twitter.com/dsquintana/status/1534263279824035843)

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> **Emi Tanaka (田中愛美) 💉💉💉** (@statsgen; 6/0): @SolomonKurz Experimental design is a huge field. What do you want the book to cover? John Lawson has a book (but not bookdown I believe). I’m writing one but WIP: https://t.co/pmZBrdrPMS  [&#8618;](https://twitter.com/statsgen/status/1535418138535542784)

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> **Stephen Wild** (@stephenjwild; 6/0): @SolomonKurz I went here once when I had a question. Can't speak to its quality: https://t.co/kBn2rSPXcl  [&#8618;](https://twitter.com/stephenjwild/status/1535294096499253248)

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> **Jason Chow** (@JasonChow; 5/0): @jmapsych This has been a helpful text for me and my class too! https://t.co/nswOUx2Iv7  [&#8618;](https://twitter.com/JasonChow/status/1534657267001344000)

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> **Finn** (@finn_hoener; 4/0): Use R to write your next academic paper! bookdown by @xieyihui and the template by @LucyStats are the main influences for the workflow that I present in this medium post.
> Write your whole paper in R — it is better https://t.co/F65F1AuxT2  [&#8618;](https://twitter.com/finn_hoener/status/1533761789472776193)

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> **Ledgerdomain** (@fredfribe; 3/0): @mezabarbarm https://t.co/nJTVQXWp8Z https://t.co/ldOuDSIj8A  [&#8618;](https://twitter.com/fredfribe/status/1534680753593778179)

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> **Imy** (@Imy3648; 3/0): @jmapsych @ELindstromPhD In case you need the hands-on 
> >
> https://t.co/ehm4FyS7KB  [&#8618;](https://twitter.com/Imy3648/status/1534626878656368640)

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> **PrincessLibrarian** (@librarian_lena; 3/0): Today, one of my team members showed us that a sociology professor we archive data for submitted an 8-part README he made in bookdown with all of his code perfectly commented, data dictionary, and data construction methods spelled out. It's GLORIOUS.  [&#8618;](https://twitter.com/librarian_lena/status/1534547182484967424)

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> **NickdeVrij** (@NickdeVrij; 3/0): @patilindrajeets If you would recommend an order, what would it be?
> For example for the markdown-related ones, would it be R Markdown or R Markdown Cookbook first? Or even dynamic documents with R and knitr? Next up, bookdown? And for the rest?  [&#8618;](https://twitter.com/NickdeVrij/status/1534462601190572033)

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> **Espacio Muestral** (@espaciomuestral; 3/0): 📚🗺️ Libro en línea sobre 𝐌𝐚𝐩𝐚𝐬 en  #RStudio  
>  
> Aprende como representar tus datos geoespaciales con las paqueterías📦 
> • tmap 
> • ggplot2 
> • mapview 
> • mapdeck 
> • leaflet 
>  
> https://t.co/uGIl0hTZeC  [&#8618;](https://twitter.com/espaciomuestral/status/1534339677406126080)

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> **tidyverse tweets** (@tidyversetweets; 2/2): Bookdown raising error 83 after update - no line number shown (osX) #tidyverse #rstats https://t.co/NHboiSPQme  [&#8618;](https://twitter.com/tidyversetweets/status/1533683351672037376)

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> **#rstats 🤖** (@rstatsvideo; 2/1): 📺 New #rstatsvideo: Authoring Books and Publications using bookdown package by David Keyes, CEO, R for the Rest of Us
> ▶ Abuja R User Group (@AbujaRUG)
> #rstats
> 🔗 https://t.co/JPaQEF2p41  [&#8618;](https://twitter.com/rstatsvideo/status/1534090289136164872)

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> **Alexa Fredston** (@AFredston; 1/2): next #rmarkdown #rstats question—how do I get #bookdown to print a caption for a modelsummary table? I have "caption=..." in the chunk header but it doesn't do anything.  [&#8618;](https://twitter.com/AFredston/status/1534865333223309313)

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> **Vincent Arel-Bundock** (@VincentAB; 1/0): @AFredston Check out the Rmarkdown examples at this link. The one with cross-references uses bookdown and includes a title. https://t.co/SL3yYXc4va  [&#8618;](https://twitter.com/VincentAB/status/1534937194305036289)

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# knitr

> **Indrajeet Patil (इंद्रजीत पाटील)** (@patilindrajeets; 166/33): ICYMI, {knitr} 📦 now provides an alternate (and IMO more readable) way to specify code chunk options! 📑
> >
> https://t.co/Sn46mZUR3Y
> >
> Chunk options written in the chunk header can be pretty hard to read, esp. when there are too many, or some are too long.
> >
> #rstats #DataScience https://t.co/kR0SUTd7XC  [&#8618;](https://twitter.com/patilindrajeets/status/1535139371166359552)

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> **R for the Rest of Us** (@rfortherest; 111/21): The combine_words() function from {knitr} is so nice for creating human-readable lists. #rstats https://t.co/ylBO1TcPz9  [&#8618;](https://twitter.com/rfortherest/status/1534505630400135169)

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> **Aleksandra Lazić** (@AleLazic; 6/2): Knitted an R table to a Word document for the first time! I'm on a roll! 😅 Looks a little hideous at the moment though but I'll fix it.
> >
> It's a simple frequency+percentage table using tab1() in {epiDisplay}. And then knitted using knitr::kable(table). #RStats  [&#8618;](https://twitter.com/AleLazic/status/1533909480739676160)

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> **Marc-Aurèle Rivière** (@mariviere1; 4/0): @AFredston Easiest solution is to use purrr::map to generate the plots. A more flexible option is to loop over knitr::knit_child (with a child doc containing only one chunk for the plot) and print the result asis. Allows you to change the chunk options of each plot programmatically.  [&#8618;](https://twitter.com/mariviere1/status/1534853077496434690)

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> **Indrajeet Patil (इंद्रजीत पाटील)** (@patilindrajeets; 1/0): @grrrck @thomas_mock Very cool!
> >
> I am looking forward to this issue (https://t.co/4wFDnSuHfw) being resolved so that I can automate this conversion in the existing files 🤖  [&#8618;](https://twitter.com/patilindrajeets/status/1535511109322547200)

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> **Alysha M De Livera** (@AlyshaDeLivera; 1/0): Since knitr 1.35.. https://t.co/RQ2BmScmJI  [&#8618;](https://twitter.com/AlyshaDeLivera/status/1535482985847197696)

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> **はかせチャン** (@hshimodaira; 1/0): @CloseDragon1 #KU数理工学概論 さっき講義で説明したのとちょっと状況ちがうね．黄色い帯で knitrとか新規packageインストールする？って出てるのをクリックしてインストールして．そのあとで青いknitってボタンを押す．  [&#8618;](https://twitter.com/hshimodaira/status/1534009358576910337)

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# tinytex

> **Lu R.** (@LuuRiascos; 1/0): @ShinyBlackShoe @rstats4ds Thanks for the suggestion, tinytex does the trick for now.  [&#8618;](https://twitter.com/LuuRiascos/status/1533758502098939904)

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# xaringan

> **Arthur Albuquerque** (@arthur_alb1; 57/4): #rstats: I plan to give some lectures where I must present R code mixed with figures + images, etc. What is the best package/platform to create nice-looking slideshows? I am already well aware of {xaringan} (like @andrewheiss used here). Is there any other better alternative? https://t.co/25xhT3hoEu  [&#8618;](https://twitter.com/arthur_alb1/status/1533469789414469637)

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> **We are R-Ladies** (@WeAreRLadies; 32/5): I LOVE {xaringan} for building my slide decks and I can't wait to add some more pizzaz with {xaringanExtra} 🎉 SO MANY COOL FEATURES IN HERE! Find it now on Cran and check out @grrrck's blogpost for all the fun details https://t.co/Bx1G4Tzkio  [&#8618;](https://twitter.com/WeAreRLadies/status/1534306693307371521)

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> **Mine Çetinkaya-Rundel** (@minebocek; 18/2): @thomas_mock I was very proud of myself when I managed to recreate this originally-designed-in-Keynote slide deck with xaringan: https://t.co/kJ4344jNhK. Particularly the bits where you X out an image or put a ❤️ on it using magick::image_annotate().  [&#8618;](https://twitter.com/minebocek/status/1534889964265164802)

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> **John Paul Helveston** (@JohnHelveston; 17/3): @WeAreRLadies @grrrck If you like {xaringan} and {xaringanExtra}, check out {renderthis} to render your slides to html, png, pdf, gif, mp4, or pptx!
> >
> https://t.co/4wnxZI64MK  [&#8618;](https://twitter.com/JohnHelveston/status/1534308556832489474)

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> **Shilaan Alzahawi** (@shilaan01; 8/0): @arthur_alb1 @andrewheiss Definitely Quarto. Switched from xaringan and never looking back (eg see https://t.co/HpZyM9SWtE). In terms of resources, the Quarto documentation is *great* and has all you need: https://t.co/H8MdTmIdjg  [&#8618;](https://twitter.com/shilaan01/status/1533574304616554496)

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> **Jared Lander** (@jaredlander; 7/1): My #rstatsnyc talk has many, many htmlwidgets which bogged down xaringan, so I'm using quarto. Self contained widgets dramatically slows down the build time but is much faster at load time. #rstats  [&#8618;](https://twitter.com/jaredlander/status/1534602653535199238)

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> **Alisson** (@fuzzys3t; 5/0): @arthur_alb1 @andrewheiss I recommend Quarto, I consider it much superior to xaringan, and the documentation is well written too  [&#8618;](https://twitter.com/fuzzys3t/status/1533520488571539459)

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> **Adolfo Álvarez 🌳** (@adolfoalvarez; 4/0): First experience with @rstudio 's #Quarto for presentations: It's truly amazing!. But still not sure if I'll switch from xaringan + xaringanextra combo. #Rstats More info: https://t.co/5MmahcGdj2  [&#8618;](https://twitter.com/adolfoalvarez/status/1534184211770392579)

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> **Dr Ajay Koli** (@ajay_kolii; 4/0): @biosbenk @apreshill (creator of some of the most important and informative slides to learn about data sci) @grrrck (to make #xaringan slides extraordinary with his R pkgs)  [&#8618;](https://twitter.com/ajay_kolii/status/1533473362760314880)

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> **Jose Luis Cañadas** (@joscani; 3/1): Muchas slides hechas con Beamer en la #seio2022 . Las mías van con Xaringan.  [&#8618;](https://twitter.com/joscani/status/1534177896306249729)

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> **Beatriz Milz** (@BeaMilz; 3/0): @arthur_alb1 @mariviere1 @andrewheiss I would choose Quarto. In xaringan, I used with xaringanExtra to have more features. But a lot of those features are already built in quarto! 
> I think the code looks cleaner also. Simpler to write. and you can use the visual markdown code from RStudio that helps you to write MD.  [&#8618;](https://twitter.com/BeaMilz/status/1533521910214053889)

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> **filipwastberrrg** (@filipwastberrrg; 2/0): @thomas_mock we've built an xaringan package for internal R slides. Mostly used for education purpose: https://t.co/4nxSVr7wYD  [&#8618;](https://twitter.com/filipwastberrrg/status/1534864774533632002)

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> **Beatriz Milz** (@BeaMilz; 2/0): @arthur_alb1 @mariviere1 @andrewheiss I'm just about to announce a blog post about how to create blogs with Quarto. I have not prepared anything about presentations, but this can be a good idea for a next post.
> If you are used to xaringan, take a look at the code that I posted in the last slide. is cleaner.  [&#8618;](https://twitter.com/BeaMilz/status/1533517740719341568)

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> **A. Jordan Nafa** (@adamjnafa; 2/0): @arthur_alb1 @andrewheiss I prefer beamer over xaringan because my latex is better than my css  [&#8618;](https://twitter.com/adamjnafa/status/1533498474859270145)

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> **Marc-Aurèle Rivière** (@mariviere1; 2/0): @arthur_alb1 @andrewheiss Quarto and Xaringan are the best options imo.  [&#8618;](https://twitter.com/mariviere1/status/1533490811966566400)

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> **Deemah 🇺🇦 🇳🇴 🇸🇪** (@dmi3k; 1/0): @grrrck Looking forward to {quartoExtra} for decorating quarto slides. There should be quite a lot of overlap because it runs on the same revealjs, but I really miss all of the versatility you built for {xaringan}, such as Tachyons support  [&#8618;](https://twitter.com/dmi3k/status/1534436258461716480)

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> **Matt Craddock** (@Matt_Craddock; 1/0): So many nice extra features for xaringan slides in this package!  https://t.co/o3cE2DS6IG  [&#8618;](https://twitter.com/Matt_Craddock/status/1534191012242939906)

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> **Jelle Geertsma** (@rdatasculptor; 1/0): @arthur_alb1 @andrewheiss I prefer ioslides over xaringan. The main reason I can give you is that htmlwidgets like {echarts4r} look horrible in xaringan. It is as if you feel like you need to adjust your glasses, whilst simply switching to ioslides does the trick 👍  [&#8618;](https://twitter.com/rdatasculptor/status/1533507779859718145)

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> **A. Jordan Nafa** (@adamjnafa; 1/0): @arthur_alb1 @andrewheiss I used xaringan for a long time before abandoning it for beamer after I got frustrated with the hell it is to get sequential indentation correct on xaringan slides with markdown  [&#8618;](https://twitter.com/adamjnafa/status/1533492238759645184)

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# yihui.name

> **Spencer Schien** (@MrPecners; 2/1): As I recently researched how to add Quarto templates in my #RStats packages (spoiler: it's not currently possible), I found this by @xieyihui. 
> >
> "At this point, I think the benefits for other communities to try Quarto are more significant than R users."
> >
> https://t.co/CKf63gB8yS  [&#8618;](https://twitter.com/MrPecners/status/1534943546398097408)

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> **David H. Montgomery** (@dhmontgomery; 1/0): "Why inventing a new tool instead of improving R Markdown?” As @xieyihui wrote, 'Even though both support multiple computing languages, I feel as if R Markdown’s birth certificate had a letter “R” stamped on it, and Jupyter had a “Python” stamp.’ https://t.co/3Gz0WgGUSw  [&#8618;](https://twitter.com/dhmontgomery/status/1534949031906091008)

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