#rstats

Jenn Schilling (@datasciencejenn; ⁷⁸⁶⁄₈₆): I spent new years eve creating a data viz of the books I read in 2021. #DataViz #RStats #GGPlot2 #Reading https://t.co/5hzcZ5T8RP ↪

A. Jordan Nafa (@adamjnafa; ⁷¹⁷⁄₆₀): End of Year #rstats tip: make a function that applies all of your preferred ggplot2 theme settings instead if typing fifty lines of code for every plot (letting my OCD show here 😂🥲) https://t.co/5VPWpd6i10 ↪

Wolfgang Viechtbauer (@wviechtb; ⁶⁹⁹⁄₁₂₈): In 2021, I did approximately 180 hours of live streaming on R and statistical programming. As always, these streams are free and open to all. New dates for the beginning of 2022 have been scheduled: https://t.co/Hwl8cmYSuw #Rstats ↪

R Function A Day (@rfunctionaday; ⁵³⁵⁄₈₄): If you use {dplyr} and {tidyr} 📦s to wrangle data, you may wish to see some feedback about what different operations did, especially in long piped chains. > The “print and pipe” operator (%P>%) from {ViewPipeSteps} 📦 does this 📝 > https://t.co/izehRpk23g > #rstats #DataScience https://t.co/jEev5v27te ↪

Emily Riederer (@EmilyRiederer; ⁵³²⁄₇₃): Many #rstats Shiny users query database, but fewer have managed their own. This becomes necessary if your app needs persistent storage. > In this post, I share some tips for creating DBs for use with Shiny and what (don’t know that) you need to know > https://t.co/SChIbTyq6V > (¹⁄₂) ↪

Annapurani (@annapurani93; ³⁸⁰⁄₈₃): Thread 🧵- > Creating a good #dataviz with the right colours might seem like a herculean task, but it’s not. > So, here are six pointers that might help ease your process. Follow along 🤗 > #datafam #DataAnalytics #RStats #DataScience ↪

Kirk Borne (@KirkDBorne; ³⁶⁵⁄₁₄₀): 70 Free Online Courses for #DataScience to Advance Your Skills in 2021. via @tut_ml — #BigData #Analytics #MachineLearning #DeepLearning #AI #DataScientists #Statistics #DataLiteracy #Python #RStats #Coding #BeDataBrilliant #Careers #NLProc #ComputerVision https://t.co/3glxpcnXKo ↪

R posts you might have missed! (@icymi_r; ³⁴³⁄₅₆): 📦📊 {gtsummary} • Presentation-Ready Data Summary and Analytic Result Tables > 👤 Daniel Sjoberg @statistishdan, Michael Curry, Joseph Larmarange, Jessica Lavery, Karissa Whiting, Emily C. Zabor > 🔗 https://t.co/FkkPoCeVGi #rstats #datascience https://t.co/lFin3DBi2D ↪

R posts you might have missed! (@icymi_r; ²⁷⁰⁄₂₉): ✍️📊⇆ Comparing Distributions - https://t.co/pc9o3STwC7 > 👤 Kieran Healy @kjhealy
> 🔗 https://t.co/AcLIzWCzrT #rstats #datascience https://t.co/nVdR0LMnbd ↪

Rami Krispin (@Rami_Krispin; ²⁰⁰⁄₁₇): Started to prototype and scope a new dashboard supporting the coronavirus #R package. > #RStats #dataviz https://t.co/DIBFo5eR0N ↪

Chris Doyle (@ChrisDoyleFL; ¹⁹⁹⁄₁₃₄): Best #python cheat sheet .#DEVCommunity #MachineLearning #Python #IoT #AI #javascript #100DaysOfMLCode #VeroBeach #RStats #Serverless #CodeNewbie #DataScience #100DaysOfCode #mathematics #coding https://t.co/dgSrDCNmVM ↪

R posts you might have missed! (@icymi_r; ¹⁹⁹⁄₃₄): 📦📊📷 {ggsvg} • Use SVG images as ggplot points > 👤 mikefc @coolbutuseless
> 🔗 https://t.co/SPXe2FUq9x #rstats #datascience https://t.co/vthYH8Kwsb ↪

Catherine Adenle (@CatherineAdenle; ¹³⁴⁄₁₅₈): Infographic: Data Science Lifecycle #DataScience #MachineLearning #rstats #BigData #Analytics #AI #Tech #PyTorch #Python #TensorFlow #JavaScript #ReactJS #DL #ML #CloudComputing #Serverless #DataScientist #Programming #Coding #100DaysofCode #Flutter #CodeNewbie https://t.co/4YNVcQTuPO ↪

Dr. Ganapathi Pulipaka 🇺🇸 (@gp_pulipaka; ¹¹⁸⁄₉₀): 70 Free Online Courses in 2021. #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/hbOP4tKp7j https://t.co/bcu0HD3FmR ↪

blogdown

Zhi Yang, PhD (@zhiiiyang; ⁸⁄₂): If you suddenly fail to serve your #rstats #blogdown site, please follow this instruction. The actual fix might depend on the specific error message that you receive. https://t.co/YXakCGubin ↪

george kanellos (@georgekanellos; ⁷⁄₃): 🥳🥳 New post!! > I am blogging with R and {blogdown} but since I need to use Python for deep learning I had to integrate Jupyter/Colab with my blog. So I wrote a small guide as to how to do it: https://t.co/v7zpegDBeu > #blogdown #Rstats #100DaysOfCode #66daysofdata ↪

Mohsin Ramay (@mohsinramay; ⁶⁄₄): Hey blogdown users Are there any widgets that we can embed to get reviews and feedbacks for websites build using blogdown? Thanks #RStats #blogdown #DataScience [↪](https://twitter.com/mohsinramay/status/1475148014159286281)

Rami Krispin (@Rami_Krispin; ⁶⁄₀): Problem solved ✅ - use blogdown::hugo_build instead of blogdown::build_site (which in my mind you should avoid using at any cost…) https://t.co/imyNoFFvdu ↪

Jun Kawabata, Nurse CritCare (@CritCareNurs; ⁶⁄₀): Webサイトの構築 with #R #RStudio というIDEは素晴らしい環境と再確認。 以下のサイトを参考に #RMarkdown から楽しく進められそうでワクワクします。 >

#朝活 #Rトレ

blogdown: Creating Websites with R Markdown https://t.co/lnf32oJa0T ↪

#rstats 🤖 (@rstatsvideo; ⁵⁄₃): 📺 New #rstatsvideo: Day 09: Hugo Apéro from scratch || rmarkdown + blogdown + Netlify #12DaysOfDusting ▶ Alison Hill (@apreshill) 🗣 🇬🇧 #rstats 🔗 https://t.co/p3mnqSLLNk ↪

Shannon Burns, PhD (@shannon47burns; ⁵⁄₁): Just got a new M1-chip Macbook Pro yesterday (OSX Monterey 12.0.1), and tried updating my website via blogdown in R today. Umm… anyone who knows blogdown/knitr have any idea what’s going on? Like, the whole application literally flips over? https://t.co/JezWmkCByw ↪

#rstats 🤖 (@rstatsvideo; ³⁄₁): 📺 New #rstatsvideo: Day 08: Solo patterns || blogdown + GitHub + Netlify Deploy Previews / Branch Deploys ▶ Alison Hill (@apreshill) 🗣 🇬🇧 #rstats 🔗 https://t.co/YyR55L8UCG ↪

Chris Gaskell (@chrisgaskell92; ³⁄₀): Huge thank you to the kind individuals who share their methods and code for developing these websites 🤝 (@apreshill, @spcanelon et al.) > For anyone who wants to make their own then check out this amazing tutorial 👌https://t.co/7TIIrdRmAn ↪

Norimitsu Nishida (@NorimitsuNishi1; ³⁄₀): @JunKawabata blogdown+github+netlifyで、ほぼRmarkdownのみで静的なwebページ作成する事できるのでおすすめです。😄 ↪

Rami Krispin (@Rami_Krispin; ²⁄₂): Hi #blogdown folks 👋, when publishing a new post with Hugo, is there a way to run blogdown::build_site without re-rendering old posts? > #rstats #rmakrdown ↪

tidyverse tweets (@tidyversetweets; ¹⁄₂): blogdown::serve:site() error: Failed to launch site #tidyverse #rstats https://t.co/N65mdW7ZBL ↪

Silvia Canelón (@spcanelon; ¹⁄₂): Beautiful #HugoApero #blogdown site with publication, project, & teaching sections, and featuring #RStats and clinical psychology content 👏 https://t.co/1qSoFTWQBm ↪

Knut Jägersberg (@JagersbergKnut; ¹⁄₂): R Blogdown Tutorial: Introduction by Jennifer Sloane > #rstats > https://t.co/LuRPRb4BsE ↪

Jose Manuel Vera (@verajosemanuel; ¹⁄₁): @r_vaquerizo @joscani Bookdown y Blogdown son dos motivos suficientes por sí mismos para aprender R trabajes en lo que trabajes ↪

Rami Krispin (@Rami_Krispin; ¹⁄₀): @paulalcasado The blogdown::serve_site() build the site locally, but it doesn’t render the new post to the public folder. I think that works for netlify sites but not for Github pages. The build_site rerender the all site from scratch (which is really bad from reproducibility). ↪

Solomon Kurz (@SolomonKurz; ¹⁄₀): @NR_Jenkins the #blogdown package ↪

Mickaël CANOUIL (@mickaelcanouil; ¹⁄₀): @Rami_Krispin build_site(..., build_rmd = "timestamp") will do the job. 😉 https://t.co/TUsMzseFfL ↪

Paula LC (@paulalcasado; ¹⁄₀): @Rami_Krispin Try to use blogdown::serve_site() instead ↪

Jun Kawabata, Nurse CritCare (@CritCareNurs; ¹⁄₀): #GitHub や #Netlify 初学者🔰は辛いけど，その先に！ > 慣れない（未知の世界）挑戦って，不安が渦巻くのですが，イメージが湧くと楽しいものです。 > #R での #blogdown のチュートリアルらしきものを参照しつつ，deploymentまでの道のりはまだ遠い。 https://t.co/ZqlbgUGmJ8 ↪

KielKontrovers - Tempolimit Jetzt! Lockdown Jetzt! (@kielkontrovers; ¹⁄₀): Habe mich schon eine Zeit mit #Hugo beschäftigt und o Wunder #Blogdown und #Bookdown sind damit “kompatibel”. Nice. ↪

tidyverse tweets (@tidyversetweets; 0/1): Include an image in md files with blogdown #tidyverse #rstats https://t.co/xwd841N5tA ↪

Mickaël CANOUIL (@mickaelcanouil; 0/1): @Rami_Krispin There is also build_site(..., build_rmd = "newfile") depending on the behaviour you wish #RStats #blogdown to have. ↪

bookdown

R posts you might have missed! (@icymi_r; ⁵⁷³⁄₁₁₄): 📦🎓 {thesisdown} • An updated R Markdown thesis template using the bookdown package > 👤 Chester Ismay @old_man_chester, Nick Solomon > 🔗 https://t.co/qHUX1TN9Wk #rstats #datascience https://t.co/cIzMVUz3Dw ↪

R posts you might have missed! (@icymi_r; ⁶⁵⁄₁₇): 📚🔍🩺 Reproducible Medical Research with R > 👤 Peter Higgins @ibddoctor
> 🔗 https://t.co/K7rsdHfzIQ #rstats #datascience ↪

Comunidad R Hispano (@R_Hisp; ³⁸⁄₁₀): Bookdown es una herramienta para escribir libros muy resultones. El formato web es muy chulo. La gente de @rstudio lo hace todo ahí. > Cosa que te interesa: es muy fácil de usar. > Si no te lo crees, @r_vaquerizo te cuenta cómo. #rstatsES https://t.co/eQWZxCVPck ↪

Raúl Vaquerizo (@r_vaquerizo; ²⁸⁄₁₃): Vídeo para iniciarse con #bookdown #rstats > https://t.co/V3NZZ17u5T ↪

Peter Dahlgren (@peterdalle; ²²⁄₆): APIs for social scientists: A collaborative review > #RStats https://t.co/HyHpJsvBba ↪

Isabella R. Ghement (@IsabellaGhement; ¹⁷⁄₄): “The LOOIC and WAIC computed in STAN (including brms) generally cannot be used to compare (mixed effects) models with different level-2 predictors.” as per https://t.co/9ePbGVfVff. > So what do people use to compare these types of models? #rstats ↪

Virgilio Gómez-Rubio (@precariobecario; ¹²⁄₁): ¡¡Doy fe de que bookdown es útil para escribir libros!! Lo mejor es que pueden integrar R para producir tablas, figuras, etc. y se pueden publicar en varios formatos (PDF, gitbook, Epub, word, …). #rstatses #bookdown https://t.co/lwwezVIh0u ↪

Raúl Vaquerizo (@r_vaquerizo; ⁹⁄₀): Acabo de arreglar una cerradura, esta mañana he montado una mampara y ahora voy a contar en un vídeo cómo hacer libros con bookdown. > Soy o no soy un personaje del renacimiento. ↪

One DataScience book a day (@One_Data_Book; ⁴⁄₄): icymi_r: 📦🎓 {thesisdown} • An updated R Markdown thesis template using the bookdown package > 👤 Chester Ismay @old_man_chester, Nick Solomon > 🔗 #rstats #datascience https://t.co/4qGf4lt6hj #100daysofcode #onedatabookrt https://t.co/F0mu1uixG8 ↪

Arthur Albuquerque (@arthur_alb1; ⁴⁄₀): @SolomonKurz @stephenjwild @IsabellaGhement I always put this link along with my script when fitting a brms model https://t.co/A90lGydYv3 ↪

Rex “garbage in” Douglass (@RexDouglass; ³⁄₁): “Statistical rethinking with brms, ggplot2, and the tidyverse: Second edition” https://t.co/iklgKbPka9 https://t.co/zFnZvtPWft ↪

Alison Presmanes Hill (@apreshill; ³⁄₀): @mariviere1 @andrewheiss It is a whole different publishing system. So it achieves similar goals as R Markdown, but no R packages are involved. So you’ll make slides, books, websites, etc, but you won’t use xaringan or bookdown or distill. ↪

aure (@maureviv; ²⁄₀): @R_Hisp @rstudio @r_vaquerizo Bookdown ha conseguido que todo el mundo quiera usar LaTeX😁 ↪

Alex Sanchez Pla (@sanplaale; ²⁄₀): @JosepMGarcia75 @macips01 Amb Rmarkdown pots fer des d’una pàgina amb un esquema -el Markdown es molt bo per això- fins llibres, amb bookdown o articles pels quals tens plantilles. I pots incloure tan de Latex com vulguis. O gens😏 Evernote m’agrada però trobo feixuc navegar i buscar els materials ↪

tidyverse tweets (@tidyversetweets; ¹⁄₂): subscript out of bounds message when rendering bookdown #tidyverse #rstats https://t.co/xTYLmzVezT ↪

tidyverse tweets (@tidyversetweets; ¹⁄₂): bookdown failing to render book #tidyverse #rstats https://t.co/z3HG2cHxnT ↪

tidyverse tweets (@tidyversetweets; ¹⁄₂): Bookdown: does not run R script #tidyverse #rstats https://t.co/zlpcCr6tir ↪

Jonathan Carroll (@carroll_jono; ¹⁄₁): Mar 15 https://t.co/mMrjABaGRK https://t.co/cVLPBu6bhu > This looks like another good read - I’m not sure if it’s complete, but I’ll look through what’s there. ↪

tidyverse tweets (@tidyversetweets; ¹⁄₁): How to use ‘apalike’ bibliography style without using citation_package: natbib in bookdown #tidyverse #rstats https://t.co/XFxhtgGQet ↪

Raj Redlich (@RajRedlich; ¹⁄₀): @JustoFernndezL2 @DoctorBemway Si está realmente interesado en por qué el fenómeno parece tener una escala u otra según la normalitzación que se haga y está familiarizado con el concepto de probabilidad bayesiana comprobará que está incurriendo en la falacia del fiscal > https://t.co/aClmEyg2j8 ↪

Noticias sobre R (@noticiasSobreR; 0/1): Vídeo introducción a bookdown https://t.co/Hv8q7jAwCt #rstats ↪

knitr

Jannik (@jannikbuhr; ⁴⁄₀): @andrewheiss which is super impressive! > From an R perspective there won’t be much that changes or can break. If you render an Rmd file or qmd file that uses only R code, the engine is still knitr by default. For python it is jupyter and for mixed documents it is knitr with reticulate. ↪

Morten Elsøe (@MortenElsoe; ³⁄₀): @TSangild Knitr! ↪

JayEnAar (@GorwayGlobal; ²⁄₀): @DeepakNModi @DrNobleKKurian Specifically use RStudio and do every analysis project as a KnitR (.RMD) file so you always end up with a research report - however draft - that is annotated, explained, understandable and most importantly reproducible. ↪

Rたん (@cppfriendsbot; ¹⁄₀): Docker コンテナ上で knitr したらまだ去年の大晦日でした。タイムゾーンを設定していませんからね。 ↪

xaringan

tidyverse tweets (@tidyversetweets; ⁴⁄₂): Images html in xaringan & highcharter #tidyverse #rstats https://t.co/uDSYkdUXer ↪

Zahid Asghar (@Zahedasghar; ⁴⁄₀): Learning xaringan in R for having effective class lecture presentations and professional training development https://t.co/fu7tHMrdeo ↪

Marc-Aurèle Rivière (@mariviere1; ²⁄₀): @andrewheiss I’m in the same boat. I’ve read the whole documentation a few months ago, got really excited about it, but I haven’t made the switch yet. I’d like to see if all the nifty Rmd packages like xaringan work with it first … ↪