#rstats

#RStats Question A Day (@data_question; ¹⁶⁹²⁄₃₁₉): Too good to just stay on reddit #MachineLearning #RStats https://t.co/lZzUB8bzQy ↪

R posts you might have missed! (@icymi_r; ¹¹³¹⁄₁₄₄): ✍️📊🌧 Visualizing Distributions with Raincloud Plots with ggplot2 > 👤 Cédric Scherer @cedscherer
> 🔗 https://t.co/XXDP98YJTv #rstats #datascience https://t.co/qy98suxuuK ↪

R Function A Day (@rfunctionaday; ³³⁸⁄₅₇): If data has grouped/clustered structure, we may wish to highlight this in a visualization. 🪶 > The {geom_mark_ellipse} function from {ggforce} 📦 provides a perfect geometric layer to achieve this by drawing an annotated ellipse! 💪 > https://t.co/CBfw7Uj52e > #rstats #DataScience https://t.co/iIkVhL6ZXc ↪

The Epidemiologist R Handbook (@epiRhandbook; ²⁷⁷⁄₉₀): ¹⁄₄ In its first month, the free Epidemiologist R Handbook (https://t.co/54v72WHIzX) was used 200k times by 32k people in 203 countries - thanks for sharing! > As a grassroots effort to improve access to R, we are now translating into 9 languages. > #rstats #epitwitter #appliedEpi https://t.co/wGNlGPXrkS ↪

Kun Ren (@renkun_ken; ²⁷²⁄₅₉): vscode-R now better supports live share for #rstats pair programming and real-time collaboration! Shared terminal, plots, data viewer, help, and browser. Thanks to the great contribution from @ElianHugh. https://t.co/IiLXt0oG2u https://t.co/o69DrNRk2n ↪

R Function A Day (@rfunctionaday; ¹⁷⁸⁄₂₈): Sometimes you’d wish to download fulltext for a paper to read from the comfort of R console. 🏡 > The {ft_get} function from {fulltext} 📦 can do exactly this; you only need to provide a doi! 📑 > https://t.co/AL9zFqN1wj > #rstats #DataScience https://t.co/jnAShY92I4 ↪

Giuliano Liguori (@ingliguori; ¹³⁸⁄₁₂₆): 11 Skills Required To Become a #DataScientist via @ingliguori ht @Veracitiz #DataScience #Data #dataops #Analytics #BigData #Rstats #AI #Reactjs #Python #MachineLearning #IoT #ML #NLP #TensorFlow #100DaysOfCode #DEVCommunity #ModelOps @antgrasso @KirkDBorne @mvollmer1 @ModelOp_Co https://t.co/RUDL07OIj8 ↪

Dr. Ganapathi Pulipaka 🇺🇸 (@gp_pulipaka; ¹¹⁰⁄₉₁): A Compilation of #Books, Courses, and Repositories. #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://t.co/0fMBRS7Jje https://t.co/Uj3znwZd8B ↪

blogdown

Isabella Velásquez (@ivelasq3; ⁸³⁄₁₀): Happy to report I’ve updated my #blogdown using the Mediumish #hugo theme! 🎉 Digging the minimalist look. > Blog: https://t.co/S870Sgneda Theme: https://t.co/PA5aCXjjaz > #RStats https://t.co/AtMpe17ZOZ ↪

Kyle Cuilla (@kc_analytics; ⁸⁰⁄₁): Really happy with my decision to convert my blog from #blogdown to #distill. I love the simplicity and flow of the site. Plus, it’s very easy to add new posts. ¹⁰⁄₁₀ would recommend 👌 https://t.co/pAWJ7hg03W ↪

R posts you might have missed! (@icymi_r; ⁵⁵⁄₁₉): ✍️ Introduce yourself online with blogdown & Hugo Apéro > 👤 Alison Presmanes Hill @apreshill
> 🔗 https://t.co/YiwRuchbg6 #rstats #datascience ↪

R posts you might have missed! (@icymi_r; ³³⁄₁₂): ✍️✨ Hello Hugo Apéro: Converting a Blogdown Site from Hugo Academic. A tutorial on how to take your personal Hugo Academic/Wowchemy website and convert it to the Hugo Apéro theme. > 👤 Silvia Canelón @spcanelon
> 🔗 https://t.co/M7573TJGJN #rstats #datascience https://t.co/mZKvVzUzzo ↪

R posts you might have missed! (@icymi_r; ¹⁹⁄₁₁): ✍️ blogdown: Knit on Save, or Save on Knit? > 👤 Yihui Xie @xieyihui
> 🔗 https://t.co/9IqJDInEvm #rstats #datascience ↪

R-bloggers (@Rbloggers; ¹³⁄₄): Missing in Plots in Blogdown-Posts when using .Rmarkdown instead of .Rmd {https://t.co/EiW2tYIcuP} #rstats #DataScience ↪

Donald Williams (@wdonald_1985; ⁵⁄₀): summer goal: update website > A daunting task because it has been so long, and actually forget how to use blogdown (pretty sure this is what was used..lol..).. ↪

Hao Ye (@Hao_and_Y; ⁴⁄₂): Folks using #blogdown with gh-pages: > I noticed an unusual bug recently with the path to the local css file changed from /{repo}/css to {repo}/css. (I think due to #hugo update?) > Anyway, I added relativeURLs = true to my config.toml and this fixed the issue. HTH! ↪

A/Prof Jenny Richmond (@JenRichmondPhD; ⁴⁄₁): We are back to meeting in person!! > I am so excited for @jfsloane & @TehillaOst to walk us making a website with blogdown > This one is HANDS ON- you will walk away with the bones of a website and heaps of tips for next steps. > Join us June 22, RSVP here https://t.co/hNO25RJOwp https://t.co/OKzZMpdsDT ↪

Solomon Kurz (@SolomonKurz; ³⁄₁): @wdonald_1985 I recently overhauled my blogdown website. Here are my notes: https://t.co/Pr8RiGvIBZ ↪

Yihui Xie (@xieyihui; ³⁄₀): @Hao_and_Y Just FYI, you can run blogdown::check_site(), follow its instructions, and enjoy the peace with Hugo forever. ↪

Craig Van Pay (@CKVanPay; ³⁄₀): @DennisWuDev Give this a try from @apreshill! > https://t.co/KljsbRE0CX ↪

Dr. Michael Mullarkey (@mcmullarkey; ²⁄₀): @wdonald_1985 I completely abandoned blogdown and used postcards/distill R packages > Here’s my repo (a fork of @Adam_C_Garber’s who made it possible for me to update) https://t.co/7KXf9VhXKU > And here’s the website https://t.co/qONiITPamk ↪

Cédric Scherer (@CedScherer; ²⁄₀): Does someone know why the code highlighting is messed up on my Hugo #blogdown page? 🙄 https://t.co/FWziqlfmkT ↪

alex hayes (@alexpghayes; ²⁄₀): @andrewheiss colors also worked on my blogdown fyi ↪

tidyverse tweets (@tidyversetweets; ¹⁄₂): {blogdown} a fixed bib for every post #tidyverse #rstats https://t.co/eBxK6mSeY8 ↪

Dorian.H Mekni (@dorianhmekni; ¹⁄₂): Missing in Plots in Blogdown-Posts when using .Rmarkdown instead of .Rmd {https://t.co/09rjAziNj5} #rstats #DataScience ↪

Madison Aitken (@m_aitken; ¹⁄₀): How to Fix It: Run the following in RStudio (replace Xs with the last Hugo version that worked) > blogdown::install_hugo(version = “X.XX.X”, use_brew = FALSE) > Navigate to where Hugo is installed (for me C:/Users/Name/AppData/Roaming). Add “x” to file names of new versions. ⁴⁄₉ https://t.co/ioB9jmyEwL ↪

Madison Aitken (@m_aitken; ¹⁄₀): First, a caveat: I have extremely basic blogdown/website skills, as you will see. This is by no means expert troubleshooting - mostly just fixing my own mistakes! ²⁄₉ ↪

Charlie 👩‍💻 (@charliejhadley; ¹⁄₀): In 2018 I was obsessed with rolling together {blogdown} sites… which is why the R4DS website uses one of the most ridiculous Hugo templates 😂 ↪

Yihui Xie (@xieyihui; ¹⁄₀): @Hao_and_Y If you remember the version number of the previously working Hugo, you can pin it in .Rprofile with options(blogdown.hugo.version = x.y.z). ↪

Craig Van Pay (@CKVanPay; ¹⁄₀): @DennisWuDev I’ve used Blogdown to make my website on GitHub. Are you trying to make one? > https://t.co/8nrrKNdFMR ↪

NelsonGon (@bionelsongon; 0/2): Does anyone know how to upgrade deps in yarn.lock with #RStats #blogdown? I get security advisories often but not sure how to upgrade either at the command line or in R. #github Dependabot won’t work too. Logs at https://t.co/3WkY16fVOq ↪

bookdown

Dalson Figueiredo (@DalsonFigueired; ⁴⁸⁄₁₁): Melhor livro sobre o assunto! Free!!! > https://t.co/he6oP4K6ku > Capítulo 6 revisto e Capítulo 7 publicado! Pode interessar! > @davicmoreira > https://t.co/he6oP4K6ku https://t.co/N4QIrOFIsE ↪

Ming (Tommy) Tang (@tangming2005; ³⁵⁄₁₃): knitr::purl(here(“scripts/my.Rmd”)) to extract R code from the Rmd #rstats https://t.co/LYeI1HnQa5 ↪

julesh (@julesh; ¹⁹⁄₀): This looks so good! This thread might have single handedly sold me on bookdown https://t.co/pVpVnabBvA https://t.co/0CdEK9Xcrw ↪

Dale Barr (@dalejbarr; ¹⁷⁄₇): The #psyteachr ‘Web Exercises’ (webex) package version 0.9.2 for #rstats is now on CRAN, including updates by @LisaDeBruine to address a compatibility issue with bookdown that was affecting compilation https://t.co/nF6crFnIVJ ↪

Eoin Travers (@TraversEoin; ¹⁷⁄₆): #RStats tip: If you’re working with rmarkdown, the configuration options in https://t.co/J1Lnl1cXtO are 𝘃𝗲𝗿𝘆 useful. For instant ✨, try > 𝚘𝚞𝚝𝚙𝚞𝚝: 𝚑𝚝𝚖𝚕_𝚍𝚘𝚌𝚞𝚖𝚎𝚗𝚝: 𝚍𝚏_𝚙𝚛𝚒𝚗𝚝: ‘𝚙𝚊𝚐𝚎𝚍’ 𝚌𝚘𝚍𝚎_𝚏𝚘𝚕𝚍𝚒𝚗𝚐: ‘𝚜𝚑𝚘𝚠’ https://t.co/TvekggXIgE ↪

Y. Emre Tapan (@YEmreTapan; ¹³⁄₁): @AkinUnver @RLadiesEskisehR @RLadiesIstanbul @RLadiesAnkara Sosyal bilimciler icin @emretoros hocanin Turkce olarak hazirladigi R Bookdown’u en derli toplu oldugunu dusundugum bir kaynak. https://t.co/xqvbrswrnn ↪

Dados de Laplace ∆(🎲) | Javier Álvarez Liébana (@DadosdeLaplace; ⁸⁄₂): Os dejo más referencias por aquí > https://t.co/tdJTaiWY3p > https://t.co/VWrdYXgC3a > https://t.co/DCGBqHdyfs > https://t.co/ABX2AiWTQu. > Las cosicas que voy sacando las voy anunciado por el Canal de Telegram https://t.co/I4MttzTLOv ↪

Ixca Cienfuegos (@IxcaCienfuegos6; ⁶⁄₄): Principles of Econometrics with R > Acá van muchas rutinas en R para diferentes modelos econométricos : ARCH, GARCH, Logit, Probit, Vectores autorregresivos, datos panel, etc. > https://t.co/ytMGOkX6li > Las bases de datos están acá: https://t.co/cKuodEEB90 > #RStats #DataSciense ↪

Robin Lovelace (@robinlovelace; ⁶⁄₁): @DanOlner @PWGTennant @CRCPress +1 to open, accessible and reproducible teaching content. Here’s a good guide to setting it up with #RStats: https://t.co/YDKZbs4Y3m ↪

Steven Lancaster (@SLLancaster; ⁵⁄₂): For those looking for a basic intro in using the general linear model in R - I highly recommend this bookdown by @epongpipat and @mattkmiecik14. Is more practical than theoretical, but very useful for getting the hang of it! https://t.co/c1OEZC2gVf ↪

Tim Hosgood (@tim_hosgood; ⁵⁄₀): and this is where the story basically ends. i managed to get my server doing what i wanted, and i made a very small start on Grothendieck’s paper on Chern classes > https://t.co/FfVeWAi8BX > now i’m tuckered out and need a break (and should REALLY get back to actual work) > [12/n] ↪

txt4cs (@txt4cs; ⁴⁄₂): [Atualização] Capítulo 6 revisto e Capítulo 7 publicado! > https://t.co/RiOqhsIUJY ↪

Kaustav Sen (@kustav_sen; ³⁄₁): R code: https://t.co/22Ez1AkuMT > The following two sources helped me get started with understand how the {grid} system underpinning ggplot2 works: 1. The section on the grid package in the Mastering Software Development in R book: https://t.co/OOSX4FiJMm
²⁄₃ ↪

Yihui Xie (@xieyihui; ³⁄₀): @LisaDeBruine @chrisderv should know more about it. The solution div is special in bookdown; we haven’t documented it in the book yet but announced it in this blog post: https://t.co/SYaObLHQpf ↪

Tim Hosgood (@tim_hosgood; ³⁄₀): by now i’m hooked, since bookdown ALSO gives me a pdf output, and, with a bit of tinkering, i can get it to be exactly the same as what i had originally. but the html version is SO much better for accessibility, and for mobile viewing, and … > oh no > [9/n] ↪

Benjamin Moran (@DrBenMoran; ³⁄₀): @PWGTennant Great idea, Peter! The Bookdown package in R would be a great way to do it. You can publish it online. ↪

Dan Olner (@DanOlner; ³⁄₀): @PWGTennant @robinlovelace looks like he’s had success with a bookdown/@CRCPress combo for “Geocomputation with R”, could be a good model for you? It was great having that book available as it developed online - I’d love to be able to do the same with your materials. https://t.co/uUtWE1N8ko ↪

しばた (@ooSHIBATAoo; ²⁄₂): 統計ソフト #jamovi の日本語版ユーザーガイドをbookdownで公開しました。 データの編集から因子分析まで、基本機能について一通り解説を加えています。 https://t.co/B4fLHDA9um ↪

Lisa DeBruine 🏳️‍🌈 (@LisaDeBruine; ²⁄₂): I have a #bookdown chapter with only the following (originally created by webex::hide(), but also fails if I write the HTML directly). I can’t render and get en error with the lua filter. #rstats @xieyihui > <div class=‘solution’> <button>Solution</button> </div> https://t.co/YemF6ElmlJ ↪

Viswanathan Satheesh (@satheeshbhoj; ²⁄₀): @shanyasiv R Programming for Data Science by Roger Peng https://t.co/NzOQftZFJQ ↪

Peter McKenna (@PeterMcKenna89; ²⁄₀): @shanyasiv @rstats4ds Hi Shanya, https://t.co/CfaHjZZJ2u is a good starting point. Once you’ve got to grips with the basics have a look at the texts on offer here https://t.co/eOE0Gf8pxg. Ultimately, it depends on what you are using #R and #RStudio for. ↪

Yeltsin Castro Loaiza (@Yeltcas1; ²⁄₀): @mparedes_a @cparedesverduga @espol Lo interesante lo respondes con esto: 1. https://t.co/gyigHqTKOC 2. https://t.co/0Q70EVcbOr 3. Presta atención en el 2.2 https://t.co/rhYrBD14Ih ↪

Tim Hosgood (@tim_hosgood; ²⁄₀): not only that, but i also need to mess around on my server so that it can automatically build these bookdown versions. that’s like a ten-minute job, right? > narrator: it was not a ten-minute job; it was hours of package version mismatching and bash errors > [11/n] ↪

Tim Hosgood (@tim_hosgood; ²⁄₀): so i make some changes and brush up my (absolutely terrible back then) french. but now i have some markdown files, and i’ve recently been building a web book with Artur Ekert for his quantum computing course, and using bookdown is so nice and easy and fun > [6/n] ↪

Maëlle Salmon (@ma_salmon; ²⁄₀): @robinlovelace @DanOlner @PWGTennant @CRCPress There are better setups for the PR previews these days, e.g. https://t.co/Py65pZ5Gwl (that I at least partly copied for some rOpenSci bookdown repos) ↪

tidyverse tweets (@tidyversetweets; ¹⁄₂): Bookdown Download for HTML single document #tidyverse #rstats https://t.co/vccBvTRcLH ↪

Gregory Macfarlane (@greg_macfarlane; ¹⁄₂): Our data and our analysis code are in a public repository at https://t.co/6vm9IpSMEQ. Had fun learning the targets package and integrating it with bookdown. #RStats ↪

Steven Lancaster (@SLLancaster; ¹⁄₀): Looking for a nice primer on likelihoods and log-likelihoods. I get the idea for simple models thanks to: https://t.co/ZmaMdbBPN0. But having a hard time figuring out how it works in more complicated models. Any tips @aggieerin or @psforscher ?? ↪

Andrew Heiss, geriatric millennial (@andrewheiss; ¹⁄₀): @AchimZeileis @IanLundberg1 Oh wait, you mean using an R variable inside the tikz chunk. I don’t think that would work (I can’t get it working in my testing here). It works with python, but only because of reticulate making things available in the py object like this: https://t.co/tfjNdl8Aq8 ↪

Andrew Heiss, geriatric millennial (@andrewheiss; ¹⁄₀): @AchimZeileis @IanLundberg1 It looks like the SQL engine lets you pass R variables into SQL chunks with ?var_name, but that’s the only one that seems to work https://t.co/dGKnK7T4QA ↪

Robin Lovelace (@robinlovelace; ¹⁄₀): Great resource for anyone interested in writing an open source book. Still amazed at the community input we’ve had for this project, testament to what can happen if you put stuff out there for the greater good! For more books like this, see https://t.co/l2LpWZkmK2 https://t.co/xOYx40zpgt ↪

kris minecraft🏳️‍🌈 (@Claycore; ¹⁄₀): @darugona_ I PHYSICALLY PUT THE BOOKDOWN ↪

Tiago Vinhoza (@tiagotvv; ¹⁄₀): Data Science at the Command Line, 2nd edition. https://t.co/6VZFKGHacS #rmarkdown #bookdown ↪

Mathias Harrer (@MathiasHarrer; ¹⁄₀): @srtoolbox @ridaww you can also find some installation/usage info here https://t.co/1EGwbXHisi ↪

Lisa DeBruine 🏳️‍🌈 (@LisaDeBruine; ¹⁄₀): @chrisderv @xieyihui Makes sense. I’m just happy to have finally figured out why all the @psyTeachR books would no longer knit if you upgraded bookdown. It’s been pestering our team for months now. ↪

Lisa DeBruine 🏳️‍🌈 (@LisaDeBruine; ¹⁄₀): @chrisderv @xieyihui @PsyTeachR We don’t use the theorem and proof environment, but since webex is meant to work with bookdown, I should definitely make it as seamless as possible. @dalejbarr and I will update webex as soon as we get a chance and I’ll change all the custom classes to be less likely to conflict. ↪

Christophe Dervieux (@chrisderv; ¹⁄₀): @xieyihui @LisaDeBruine That is indeed related to this special handling. @LisaDeBruine Can you open an issue in bookdown repo to track this? We may not handle correctly this case; Or we may need to offer an opt-out this special environment handling if desired. I’ll have a look ↪

Solomon Kurz (@SolomonKurz; ¹⁄₀): @JoshuaGrubbsPhD You could make the book open source with software like #bookdown ↪

Tim Hosgood (@tim_hosgood; ¹⁄₀): @dimpase @julesh i guess it’s personal preference (eg i try to keep python at least 100 yards away from me at all times), but bookdown is definitely the nicest solution to me, because it’s built on top of pandoc (which is just incredible) ↪

Tim Hosgood (@tim_hosgood; ¹⁄₀): tldr: - https://t.co/4G30tSHjSh - https://t.co/YI7GDAarja - https://t.co/FfVeWAi8BX https://t.co/LdDd7WnELO ↪

𝙳𝚊𝚟𝚒𝚍 𝚁𝚎𝚒𝚗𝚜𝚝𝚎𝚒𝚗 (@GivingTools; ¹⁄₀): @nickchk @bookdown_io I should have said “don’t need covers” ↪

𝙳𝚊𝚟𝚒𝚍 𝚁𝚎𝚒𝚗𝚜𝚝𝚎𝚒𝚗 (@GivingTools; ¹⁄₀): @nickchk The best texts don’t have covers @bookdown_io #bookdown ↪

Nick HK (@nickchk; ¹⁄₀): @GivingTools @bookdown_io plenty of bookdown books have covers :P ↪

numericalguy (@numericalguy; ¹⁄₀): Want to embed a book developed via #bookdown in the @canvas LMS. Use the redirect tool app. https://t.co/bnsPA4jic6 @Instructure @rstudio What you need is a website you control and it to function using https ↪

Arindam Basu (@arinbasu; ¹⁄₀): @PWGTennant Have you considered bookdown? https://t.co/thqWeOlms0 ↪

Tim Lucas (@Timcdlucas; ¹⁄₀): @PWGTennant I find online books that are quite webpagey much easier to read. Like those made with bookdown. You can just have a page asking people to cite the webpage? https://t.co/37Q0SPwd0w ↪

John S. Erickson (@olyerickson; 0/2): #RStats Peeps: Does anyone have a “recipe” for combining a collection of stand-alone notebooks into a single book using #Bookdown? The YAML headers in each of the stand-alone notebooks cause problems (must be removed). Thoughts?? ↪

knitr

R Function A Day (@rfunctionaday; ²³²⁄₄₉): Sometimes you just want to quickly convert the source code from R script (.R) into a report (can be a markdown, PDF, HTML). > The {stitch} function family from {knitr} 📦 makes this conversion effortless! 🧶 > https://t.co/F7q6zYqn84 > #rstats #DataScience https://t.co/bPwdrVMEOw ↪

Indrajeet Patil (@patilindrajeets; ⁵⁶⁄₁₆): Reproducible research is a possible by-product of dynamic documents (e.g., Rmarkdown), but they don’t guarantee reproducibility. > Here are a few good practices to increase reproducibility 👇 > Ref: “Dynamic Documents with R and knitr” [Xie, 2014, pp. 7-8] > #rstats #AcademicChatter https://t.co/jBaYJq3Eaj ↪

The R-Podcast (Eric) (@theRcast; ¹⁴⁄₄): Kick off a big #rstats day with episode 43 of the @rweekly_org Highlights 🎙️! https://t.co/BzjPJ3GStc ✍️ Reusing chunk code & options in {knitr} @xieyihui 🏗 R in 2021 with VS-Code @AlbersonMiranda 📊 {gggrid} is g-g-great (Paul Murrell) @_R_Foundation > h/t to @MilesMcBain 🙏 ↪

Shoei (@shoei05; ¹²⁄₀): この記事へのアクセスが結構多いようです。R markdown のデフォルトパスについて、 {r setup} にknitr::opts_knit$set(root.dir = rprojroot::find_rstudio_root_file()) を入れると、すべてのチャンクでの相対パスを、プロジェクト(.Rproj) からの相対パスに設定できます。https://t.co/rfQgywMoEk ↪

Data Science Dojo (@DataScienceDojo; ⁹⁄₄): 📍 Sometimes you just want to convert the source code from R script (.R) into a new Markdown (.md) document/report. The {spin} function from {knitr} - makes this conversion effortless: https://t.co/FS8S312d6V > #rstats #DataScience https://t.co/x9kGamF51u ↪

One R Package a Day (@RLangPackage; ⁸⁄₃): tint - A ‘tufte’-alike style for ‘rmarkdown’. A modern take on the ‘Tufte’ design for pdf and html vignettes, building on the ‘tufte’ package with additional contributions from the ‘knitr’ and ‘ggtufte’ package, and also acknowledging the key in… #rstats https://t.co/9RcXiqCuBb ↪

Melike Dönertaş (@melikedonertas; ⁶⁄₀): One Little Thing: Reusing Code Chunks and Chunk Options with knitr - Yihui Xie | 谢益辉 https://t.co/1R4WpFIg72 ↪

R Weekly Live (@rweekly_live; ⁴⁄₂): One Little Thing: The Docco Style with knitr::rocco() @xieyihui #rstats #datascience https://t.co/W2vu6Tcx9S ↪

Aetiologic (@aetiologic; ²⁄₀): @Shufflersunite Start here: https://t.co/63Omx0VhPH It is the new “R” dialect. Book is incremental. Find a mentor. I’ d focus on reproducible documents (knitr/markdown). Find one or two packages (add on tools) that address your research focus an build towards those tools. ↪

Martin Tomko (@dinomirMT; ²⁄₀): @valdanchev @usociety @OurWorldInData Wonderful collection! Any thoughts about including material on notebook>>pub ready pdf /report? A pet peeve that I fail to solve to the level of KnitR…. ↪

Betsy Sneller BLACK LIVES MATTER (@betsysneller; ²⁄₀): @clukyanenko Knitr::kable if you use markdown ↪

tidyverse tweets (@tidyversetweets; ¹⁄₂): Preserving non-breaking space in HTML output of knitr-ed rmarkdown #tidyverse #rstats https://t.co/ie0CF76aZK ↪

𝙳𝚊𝚟𝚒𝚍 𝚁𝚎𝚒𝚗𝚜𝚝𝚎𝚒𝚗 (@GivingTools; ¹⁄₀): @nickchk Or better, hijack kable with things like: > .kable_styling <- hijack(kableExtra::kable_styling, full_width=FALSE) .kable <- hijack(knitr::kable, format.args = list(big.mark = ",", scientific = FALSE)) ↪

Royal Statistical Society (@RoyalStatSoc; ¹⁄₀): You still have a few days left to take advantage of the early bird rate for out Automated reports in R course! Hurry and book today! #R #Rmarkdown #Knitr https://t.co/u9qvVIYuzl https://t.co/Q5P3tVBfz2 ↪

Bruno Rodrigues (@brodriguesco; ¹⁄₀): @paulgp @overleaf no idea, but maybe you’ll be interested in setting up your own knitr/latex compile farm on a remote server? https://t.co/GMMAUqjaxw ↪

tidyverse tweets (@tidyversetweets; 0/1): plots after dynamic sections using R Markdown pander, knitr and pandoc #tidyverse #rstats https://t.co/hTsRLbf9zS ↪

xaringan

R posts you might have missed! (@icymi_r; ⁷⁴⁄₂₄): ✍️ Self-contained xaringan Slides - A Four-year Old Feature Request > 👤 Yihui Xie @xieyihui
> 🔗 https://t.co/nHdgzGoMDq #rstats #datascience ↪

Ariel Muldoon (@aosmith16; ⁴²⁄₉): I recently started using #xaringan for making slides along with the very cool xaringanExtra 📦 from @grrrck. > “Broadcast” is great for remote #rstats working sessions! Students copy/paste code and links from slides on their computers in real time. 🎉 > https://t.co/aSg99nRv4M ↪

David Schoch (@schochastics; ¹⁸⁄₂): Working on a new #xaringan theme (and a workshop on network visualization in #rstats :) ) https://t.co/2RS1XzKBT0 ↪

Garrick Aden-Buie (@grrrck; ⁷⁄₀): alt text: A demo showing HTML-based slides made with the xaringan R package. The demo shows a user moving through tabbed content where the tabs are located to the left of the toggled content. One tab contains R code to create a plot, the next tab shows the resulting plot, & so on ↪

Ijeamaka A (@ijeamaka_a; ⁶⁄₀): Also if you want to get better at HTML/CSS, building custom features for your distill site is a great personal project! > Low key, customizing my distill site, Xaringan slides, and shiny apps is truly the way I leveled up from HTML/CSS baby to preteen in a couple of months. ↪

Zoë Turner (@Letxuga007; ⁵⁄₄): And now, after a few GitHub merge conflicts with myself I have published 2 posts on templates, how to set up a repo as a template https://t.co/KrJyMCV1vG and getting xaringan slides into RStudio as templates that I’ve published https://t.co/JNpSevRIi6 ↪

Zoë Turner (@Letxuga007; ⁵⁄₁): This work is never a solo endeavour and my sincere thanks go to @DrMowinckels and @favstats for sharing your code on packaging {xaringan} and @Jemus42 for asking about this on Twitter. https://t.co/7WLr60LHJH. 🙏 ↪

Zoë Turner (@Letxuga007; ⁴⁄₁): I thought I’d get started with my GitHub presentation slides for next Wednesday’s @NHSrCommunity webinar but I got distracted by the fact I’d set up {xaringan} slide templates in RStudio. I’d forgotten how I did this but my past self left a unpublished blog! https://t.co/7W3aYXrl1g ↪

Ijeamaka A (@ijeamaka_a; ³⁄₀): haha omg this commit is actually a reference to @grrrck excellent blog post about how to share your xaringan slides. https://t.co/3oW1w2fyiF ↪

renata gerecke (@renatagerecke; ²⁄₀): what’s the reaction gif for when a new feature is announced that you had been looking for a week ago? thanks @xieyihui & co! https://t.co/S10H7vw4wr ↪

Yihui Xie (@xieyihui; ²⁄₀): @Lluis_Revilla @cbarrie I think you can just copy and paste the (google) analytics JS code into your Rmd. Any JS code should just work in xaringan. If not, it’s probably a bug, but I’m sure the option > xaringan::moon_reader: includes: in_header: your-js-code.js > will work. ↪

Lluís Revilla Sancho (@Lluis_Revilla; 0/2): Is it possible to add google analytics or some kind of traffic counting on xaringan slides? I couldn’t find anything on the #RStats help book. #xaringan #xaringanClub ↪

tidyverse tweets (@tidyversetweets; 0/1): Submitting new template themes to xaringan #tidyverse #rstats https://t.co/IrFgFwVWFP ↪

yihui.name

R Weekly Live (@rweekly_live; ¹⁵⁄₂): Let Your Markdown Breathe! @xieyihui #rstats #datascience https://t.co/653RxWiSif ↪

R Weekly Live (@rweekly_live; ¹¹⁄₂): crandalf: Use Github Actions to Check Reverse Dependencies of an R Package @xieyihui #rstats #datascience https://t.co/6kqCGYmV30 ↪

R Weekly Live (@rweekly_live; ⁷⁄₂): Full-width Figures with Two Lines of CSS @xieyihui #rstats #datascience https://t.co/1TEPS93niG ↪

Yihui Xie (@xieyihui; ⁷⁄₀): @nickchk @Mattathias17 Hi Nick, I tried to demonstrate the consistency in this post: https://t.co/88uG6DZy1G I’d appreciate your thoughts! In particular, I found a problem that I couldn’t explain clearly while running the simulations, and I wonder if you could help. Thank you! ↪

R Weekly Live (@rweekly_live; ⁶⁄₄): Simulating the OLS Consistency When X and ε are Dependent @xieyihui #rstats #datascience https://t.co/ruR6FssLvR ↪

Emil Hvitfeldt (@Emil_Hvitfeldt; ⁴⁄₁): @xieyihui’s “Let Your Markdown Breathe!” post reminded me that there are two types of lists in Pandoc. “compact” and “loose” lists. They are all specified by spaces > And it is way easier to change the separation for loose lists > https://t.co/JvHkHrKxNC https://t.co/HKSvnUbtVx https://t.co/K0BccTBpmL ↪

R Weekly Live (@rweekly_live; ²⁄₄): News from formatR v1.9 to v1.11 @xieyihui #rstats #datascience https://t.co/Ijp73dsAIZ ↪

Yihui Xie (@xieyihui; ²⁄₀): @grant_mcdermott @nickchk @Mattathias17 In the comments, we discovered that x and e were actually correlated: https://t.co/28O9fuY51j but I haven’t investigate the reason. I also discovered that the magnitude of the coefficient of the quadratic term (e - .5)^2 affects the correlation. ↪

Jukka Huhtamäki (@jnkka; ¹⁄₂): Mielenkiintoista luettavaa erilaisista laskennallisen analytiikan työkirjoista eli notebookeista #jodatuni #datatiede #datascience > https://t.co/nvmHXBvdsa ↪