{
  "title": "We are proud to officially announce RStudio v1.2 The IDE includes dozens of new productivity enhancements and capabilities Read the update at https://t.co/VwaUBFl5ap #rstats #DataScience https://t.co/8wEyafNMsf",
  "date": "2019-05-01"
}

# #rstats

> **RStudio** (@rstudio; 1485/582): We are proud to officially announce RStudio v1.2
> The IDE includes dozens of new productivity enhancements and capabilities
> Read the update at https://t.co/VwaUBFl5ap
> #rstats #DataScience https://t.co/8wEyafNMsf  [&#8618;](https://twitter.com/xieyihui/status/1123258718093828097)

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> **Alice Walsh PhD** (@alicenotalice; 1009/106): Ok #rstats twitter, which one of you was spotted on 95 near philly yesterday? https://t.co/VM7jcIrJ4p  [&#8618;](https://twitter.com/xieyihui/status/1123205439586480129)

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> **Guy Prochilo 🏳️‍🌈** (@GuyProchilo; 869/270): #Rstats: datapasta is SO COOL! Easily copy data from excel (or even html tables from the web) &amp; paste in R as fully-formatted dataframes!
> >
> 1. install.packages("datapasta")
> 2. Set a useful keyboard paste shortcut
> >
> https://t.co/hq9mHtRj5B
> >
> With thanks to @FaustoBustos :)
> >
> #phdchat https://t.co/OqzHHZGsd0  [&#8618;](https://twitter.com/xieyihui/status/1122651785011789824)

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> **Hadley Wickham** (@hadleywickham; 752/203): dbplyr 1.4.0 out now: https://t.co/fv5yzGeufG. Lots of improvements to SQL generation, including better support for stringr and lubridate functions #rstats  [&#8618;](https://twitter.com/xieyihui/status/1122976522782961664)

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> **We are R-Ladies** (@WeAreRLadies; 339/72): Today is #rmarkdown day. My #knitr trick is `read_chunk`. I separate my #rstats scripts from the md document for a large proj. Bc I usually write R code first and then document the analysis. `read_chunk` reads the external R chunks into the md. It forces you to name the chunk. https://t.co/JuvNW9Lxe6  [&#8618;](https://twitter.com/xieyihui/status/1123451983275233280)

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> **We are R-Ladies** (@WeAreRLadies; 273/69): #rstats #dataviz Except for `facet_grid()` &amp; `facet_wrap()`, these additions provide more contextual layout to #ggplot2 :
> >
> 🗺️ @hafenstats `facet_geo()` for geo grid data https://t.co/phtdRFnU4R
> 📈 my `facet_calendar()` for people's daily activity https://t.co/0HCdcmeEL6 https://t.co/BpW6K5felN  [&#8618;](https://twitter.com/xieyihui/status/1123142443921170432)

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> **Mara Averick** (@dataandme; 212/65): ⌨️ Quick tip to make your clicks go further…
> "RStudio’s multiple cursors rule!" 👨‍💻 @randembrace
> https://t.co/VGYOFR11Sv #rstats #rstudio https://t.co/UkNSA1HT5D  [&#8618;](https://twitter.com/xieyihui/status/1122848527196008448)

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> **Kirk Borne** (@KirkDBorne; 188/91): 🌟🏆🎉📙80+ Best #DataScience Books for #DataScientists 👉 https://t.co/28HVXCzGPE
> ———
> ———
> #abdsc #BigData #MachineLearning #AI #Statistics #Algorithms #Python #Rstats #DataViz #DataStorytelling #ABtesting #NeuralNetworks #DataMining #DeepLearning #NLProc #RecSys #LinearAlgebra https://t.co/9ULPzJZHQY  [&#8618;](https://twitter.com/xieyihui/status/1122568020918972417)

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> **Noam Ross** (@noamross; 166/72): Following the announcement that @DataCamp's CEO is stepping down indefinitely, I have some questions for the board: https://t.co/YxpdkRieBT
> #rstats #pydata #metoo #MeTooSTEM  [&#8618;](https://twitter.com/xieyihui/status/1123236063714013184)

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> **RStudio** (@rstudio; 154/63): What's New in RStudio v1.2?
> You’ll now find RStudio a more comfortable workbench for working in 
> SQL; https://t.co/5dIGbE5Crj, 
> #Stan; https://t.co/4k5QlylCGx, 
> #Python; https://t.co/kuYvYuecuk
> #rstats #DataScience https://t.co/iXvei4reea  [&#8618;](https://twitter.com/xieyihui/status/1123275832020144130)

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# blogdown

> **We are R-Ladies** (@WeAreRLadies; 75/5): I highly recommend learning #RMarkdown because there's so many things you can do with it! I have used #blogdown to make several websites and found it very easy to get a site up and running!  [&#8618;](https://twitter.com/xieyihui/status/1121807397587124224)

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> **We are R-Ladies** (@WeAreRLadies; 29/5): Web deployment with travis ci for an #rstats project is just as easy as 3 steps if you're using the tic 📦 by @krlmlr :
> >
> 1️⃣`usethis::use_travis()`
> 2️⃣`tic::use_tic()`
> 3️⃣a third step? 🤔
> >
> It works like a charm for building a pkgdown/bookdown/blogdown site. ➡️https://t.co/itqm80DqVN  [&#8618;](https://twitter.com/xieyihui/status/1122866043527897088)

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> **Dr Chris Marshall** (@Dr_C_Marshall; 20/9): In between working on projects, I've built a website in R today (https://t.co/JnaX4AnTBM) using @dsquintana's really helpful tutorial from a while ago on the blogdown package. Thanks, Dan! #Rstats  [&#8618;](https://twitter.com/xieyihui/status/1123200543164387333)

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> **Yihui Xie** (@xieyihui; 6/0): @Chucheria @kierisi Done now via https://t.co/HhR0gdtBPb  [&#8618;](https://twitter.com/xieyihui/status/1123336239745314818)

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> **We are R-Ladies** (@WeAreRLadies; 5/1): Pretty much all you have to do is find a #hugo theme that suits your fancy, run a function call to build the site in your console (blogdown::new_site(theme = "") and you're ready to customize your site!  [&#8618;](https://twitter.com/xieyihui/status/1121821245358661632)

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> **Jessica Streeter** (@phillynerd; 5/0): And thanks to @JonTheGeek for his guide, and everyone who suggested the wonderful guide by @apreshill as well as the blogdown book. It still took a billion tries, hours and hours of trying and googling errors, and a few more grey hairs, but I made it! 2/2 https://t.co/n0g8n0ZJ24  [&#8618;](https://twitter.com/xieyihui/status/1121861857130758145)

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> **Sébastien Rochette** (@StatnMap; 4/1): This is a good theme for #rstats #blogdown users. https://t.co/sw700oa9Ml  [&#8618;](https://twitter.com/xieyihui/status/1122134528481472517)

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> **Craig Hamilton** (@craigfots; 3/1): I recently taught myself how to create websites in #blogdown and now have a fancy new website for all of my personal and professional projects and work - https://t.co/o9obBVl8cb. #rstats  [&#8618;](https://twitter.com/xieyihui/status/1123147723954380800)

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> **Benjamin Wolfe** (@BenjaminWolfe; 3/0): @kearneymw @thomas_mock @JosephineLukito Just in time! I was just about to start the #blogdown site I've been meaning to get to for a quarter. 🤣 https://t.co/mKdAElGvml  [&#8618;](https://twitter.com/xieyihui/status/1123426415251206149)

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> **Mike Kearney📊** (@kearneymw; 3/0): @BenjaminWolfe @thomas_mock @JosephineLukito I started with "hugo-nuo" https://t.co/E5NBzPgTem (which you can totally use with `blogdown::new_site(theme = "laozhu/hugo-nuo")`) and I've modified various odds and ends from there https://t.co/ZUTpE4btUs  [&#8618;](https://twitter.com/xieyihui/status/1123398998646317057)

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> **Benjamin Wolfe** (@BenjaminWolfe; 2/0): @kearneymw @thomas_mock @JosephineLukito No seriously though is it a Hugo / #blogdown template? Or based on one?  [&#8618;](https://twitter.com/xieyihui/status/1123376451846397952)

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> **Yihui Xie** (@xieyihui; 2/0): @randomjohn @oscar_b123 I guess you meant this: https://t.co/a762ut1xTs :)  [&#8618;](https://twitter.com/xieyihui/status/1121106946902450178)

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> **Morgs Brew** (@morgsbrew; 1/1): Is it possible to link a @github repository owned by User A, into a #Blogdown @xieyihui site with its own repository also owned by User A? Like its own project that is highlighted on the Blogdown site hosted by Netlify. #rstats  [&#8618;](https://twitter.com/xieyihui/status/1122294306235191297)

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> **Ming Tang** (@tangming2005; 1/0): How to embed a tweet in blogdown showing the profile pic and the thread? https://t.co/0fZZO4V1Uq this did not work for me.  [&#8618;](https://twitter.com/xieyihui/status/1123040337700765698)

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> **We are R-Ladies** (@WeAreRLadies; 1/0): If you have previously installed the #blogdown package, you can also build a new site when you create a new project in #rstudio.  [&#8618;](https://twitter.com/xieyihui/status/1121821489873862656)

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> **John Grewar** (@jdata_rsa; 1/0): Saved by #blogdown (https://t.co/mxcydWt6nB) thanks @xieyihui for a great product, was struggling with getting the blog component of my site working and this sorted me out! still busy converting old posts into #rmarkdown format but on my way https://t.co/l2Be7N15mk  [&#8618;](https://twitter.com/xieyihui/status/1121672719999700993)

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> **MH Manuel Haqiqatkhah** (@_psyguy; 1/0): @MeganTStevenson Write it with #blogdown and host it for free on @github Pages:
> https://t.co/cNbZjmfOsg  [&#8618;](https://twitter.com/xieyihui/status/1121503319162269701)

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> **Kevin Kent** (@kevin_m_kent; 1/0): @VanderbeekAM Great suggestion, thank you. I switched over to blogdown a few weeks ago and am loving it. Will add to the wiki later!  [&#8618;](https://twitter.com/xieyihui/status/1121465812177567744)

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> **Alyssa M. Vanderbeek** (@VanderbeekAM; 1/0): @kevin_m_kent You might want to add resources for blogging with the "blowdown" package: https://t.co/IgWimQ8iDq  [&#8618;](https://twitter.com/xieyihui/status/1121456545223643136)

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> **John Cassil** (@johncassil; 0/1): #rstats #blogdown question!
> When I post a link to this blogdown post on my website ( https://t.co/pzQSTuA8oJ )
> I'd like it to show a preview of the post, not some css.  How do I do this?  What are the #meta description search terms I should be looking for? Thanks!
> @xieyihui ? https://t.co/vKWjxBwpWb  [&#8618;](https://twitter.com/xieyihui/status/1123249584069853186)

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> **Jordan Klein** (@J_D_Klein; 0/1): I built it using blogdown #rstats  [&#8618;](https://twitter.com/xieyihui/status/1121889043313242113)

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# bookdown

> **Greg Wilson** (@gvwilson; 283/135): Now in bookdown: "The Tidynomicon: An Introduction to R for Python Programmers" https://t.co/cSLmHRDWmt suggestions, corrections, and additions gratefully received.  [&#8618;](https://twitter.com/xieyihui/status/1121726626402852864)

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> **Max Kuhn** (@topepos; 133/12): We've sent the final book files off for copyediting (https://t.co/bNeNSVDj3G). After a lot of hard work, this sums up how we feel 👇
> >
> #rstats https://t.co/hXC9BJhko5  [&#8618;](https://twitter.com/xieyihui/status/1121073528038731776)

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> **Alison Hill** (@apreshill; 74/26): This is a fantastic intro to both #rmarkdown and #bookdown, with a lot of extra goodies 🥚 like tips on project organization, workflows, the @Rstudio IDE, and clearly hard-fought lessons on things that are hard in #bookdown (collaborating + tables ☹️) https://t.co/KxAOgBY48q  [&#8618;](https://twitter.com/xieyihui/status/1121825888767627265)

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> **Thea Knowles** (@theaknowles; 67/16): Materials up for today's workshop in dissertating with #Rmarkdown and #bookdown! Note these resources are *preliminary*. Will further update after today's workshop. 
> >
> Tutorial: https://t.co/yJ1NuPUBFH
> Materials: https://t.co/T8cAajrv66  [&#8618;](https://twitter.com/xieyihui/status/1121457334486622208)

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> **R-Ladies LdnOnt** (@RLadiesLdnOnt; 55/10): Today's #RLadies workshop is on using #RMarkdown and #bookdown for dissertating! Materials now posted!
> >
> 👩‍🏫Tutorial: https://t.co/N0xXajGlh9
> 📓Materials: https://t.co/D5yICkADEk  [&#8618;](https://twitter.com/xieyihui/status/1121458836714340352)

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> **Jacquie Tran** (@jacquietran; 27/11): Stumbled upon 'Data Science with R: A Resource Compendium', compiled by @monkmanmh. A treasure trove of informative and insightful resources! Ping @EngelhardtCR @Dorris_Scott @kierisi #rstats
> >
> https://t.co/0EW4XTu5aD  [&#8618;](https://twitter.com/xieyihui/status/1123576354279120897)

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> **Ken Urano** (@uranoken; 25/6): これはすばらしい。ありがたい。
> >
> jamoviで学ぶ心理統計 https://t.co/JUKrqICboL  [&#8618;](https://twitter.com/xieyihui/status/1121269157738061824)

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> **Stephanie Kirmer** (@data_stephanie; 12/0): “If you can type words, you can use bookdown” -@CivicAngela https://t.co/10S4VZnI75  [&#8618;](https://twitter.com/xieyihui/status/1122229396398583808)

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> **Riccardo Fusaroli** (@fusaroli; 9/1): @rlmcelreath Btw, @SolomonKurz provides an excellent compendium covering all examples from a tidy +brms approach (https://t.co/TjarKQ0x6X). Highly recommended. @SolomonKurz you rock!  [&#8618;](https://twitter.com/xieyihui/status/1122942682563850247)

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> **Solomon Kurz** (@SolomonKurz; 9/0): Looks like I finally have a robust solution to the #bookdown + PDF output + complicated LaTeX formula conundrum. The PDF version should be out in a week. In the meantime, let be known @SMasschelein is a boss.  [&#8618;](https://twitter.com/xieyihui/status/1122655976300085248)

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> **Dan S. Reznik 🔎** (@dreznik; 6/2): a brazilian portuguese translation of #r4ds #rstats has showed up in hardcopy format on the internet and on some university bookstores in brazil. questions: (1) is this legit in terms of copyright, and (2) where is the free web-accessible bookdown version of it??? @hadleywickham https://t.co/3JzErDmeX1  [&#8618;](https://twitter.com/xieyihui/status/1121109026664787968)

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> **Frans van Dunné** (@fransvandunne; 5/0): 🥳Aqui esta: El libro sobre ingenieria de variables por Max Kuhn y Kjell Johson! 🎉
> >
> Feature Engineering and Selection: A Practical Approach for Predictive Models
> >
> Genial que este también esta disponible en linea: https://t.co/fwRASfSUKl https://t.co/B0HCQerTsO  [&#8618;](https://twitter.com/xieyihui/status/1121130145325232133)

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> **Irene** (@irenecrisologo; 3/1): Attempting to fill the post-submission void by playing around with @rstudio's RMarkdown+Bookdown  [&#8618;](https://twitter.com/xieyihui/status/1121408849418838017)

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> **Sharla Gelfand** (@sharlagelfand; 3/0): @swmpkim @alexpghayes right?! if you want to apply a lot of styling, you can put it in a separate file (e.g. preamble.tex) and then put 
> >
> output: 
>   bookdown::pdf_document2:
>     includes:
>       in_header: preamble.tex
> >
> in your yaml instead
> >
> (replace pdf_document2 with whatever pdf output you're using)  [&#8618;](https://twitter.com/xieyihui/status/1121809737849409536)

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> **Sean Kross** (@seankross; 3/0): @farbandish Do you know about yolo = true? https://t.co/PBeTz4ESc3  [&#8618;](https://twitter.com/xieyihui/status/1121631131705593856)

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> **Oleksiy Anokhin** (@OleksiyAnokhin; 2/2): #rstats folks, is it possible to implement shiny elements (not an app) into a bookdown document? In the same way as just a RMarkdown doc. I want to have interactive elements in my book, if possible, similar to "runtime: shiny"  [&#8618;](https://twitter.com/xieyihui/status/1121527591448477706)

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> **Antonello Pareto 🇪🇺** (@AntoViral; 2/1): Repetita iuvant
> >
> https://t.co/mwkYIUPLgf
> >
> #rstats #dataviz  [&#8618;](https://twitter.com/xieyihui/status/1122194890031603713)

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> **Jeff Rouder** (@JeffRouder; 2/0): bookdown solves some of the issues  [&#8618;](https://twitter.com/xieyihui/status/1123452920840822785)

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> **Grumpy Old Health Stats Dude** (@healthstatsdude; 2/0): @stevensenior @chrismainey @rlmcelreath @SolomonKurz has a #tidyverse site for it at: https://t.co/2v191pV8py  [&#8618;](https://twitter.com/xieyihui/status/1121799872544268288)

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> **Alex Douglas** (@Scedacity; 1/3): 3.2 Notebook | R Markdown: The Definitive Guide https://t.co/au79nTPgeC  [&#8618;](https://twitter.com/xieyihui/status/1121670810748375042)

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> **Jenine K Harris** (@jenineharris; 1/3): Any @RLadiesGlobal or #rstats or @rstudio peeps out there who know how to change one word of text in a paragraph to a different font in #rmarkdown? (output is html gitbook w bookdown) ....&lt;span style="font-family: monospace;"&gt;word&lt;/span&gt; just makes a gray background behind word🙃  [&#8618;](https://twitter.com/xieyihui/status/1121438417383043073)

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> **Statisticians and Data Scientists** (@statsanddatasci; 1/2): 📚R Graphics Cookbook, 2nd edition - Winston Chang👇
> #BOOKDOWN: https://t.co/w8qZ5oTXsv
> >
> #RStats #RStudio #Statisttics #Books #eBooks #DataAnalysis #DataScience #UsingR #DataViz https://t.co/MLdmR7bbRH  [&#8618;](https://twitter.com/xieyihui/status/1121494121829601281)

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> **Ben Anderson** (@dataknut; 1/1): srsly, #rstats packages #bookdown &amp; @rOpenSci's #drake have significantly (p &lt; 0.01) improved my quality of work life. Disbenefit: #drake almost eradicates  data-wait tea-breaks &amp; cake-stops.  [&#8618;](https://twitter.com/xieyihui/status/1122687379989417985)

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> **Christopher Peters** (@statwonk; 1/0): @haziq_azizi I just took a look and it sure does! https://t.co/VGHgevI8LL
> >
> If we use a Bayesian method, we can summarize the posterior distribution  rather than rely on tests for params. The book "Statistical Rethinking" does this well. https://t.co/Vw21TgMxf6
> >
> cc @AllenDowney @SolomonKurz  [&#8618;](https://twitter.com/xieyihui/status/1122924084487127042)

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> **Chris Holdgraf** (@choldgraf; 1/0): @gvwilson Two quick thoughts: I wonder if @SylvainCorlay and the @QuantStack team have thought about diagrams with widgets. Also, couldn't you effectively split a notebook into multiple pieces with bookdown? (or jupyter-book for that matter)  [&#8618;](https://twitter.com/xieyihui/status/1122280065796956160)

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> **Joel Gombin** (@joelgombin; 1/0): @JohanRicher @MartinT45227111 @ArmelleGilliard https://t.co/1oCv3HJJEH (reprend le css de gitbook mais avec un moteur différent under the hood)  [&#8618;](https://twitter.com/xieyihui/status/1121924937881722880)

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> **Christophe Dervieux** (@chrisderv; 1/0): @gvwilson Thanks ! You should consider reference this book in https://t.co/SIgqKnuBAm list !  [&#8618;](https://twitter.com/xieyihui/status/1121860803655815169)

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> **Stefano Biffani** (@stefanobiffani; 1/0): https://t.co/WtDo9uv9b6  [&#8618;](https://twitter.com/xieyihui/status/1121463004971843584)

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> **AI Learners** (@AI_Learners; 1/0): El proceso de hacer feature engineering es crucial. El siguiente libro es un excelente recurso para entrar en el tema con mayor profundidad.
> https://t.co/z0z8ceEMRX  [&#8618;](https://twitter.com/xieyihui/status/1121197136530616320)

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> **Alistair Bailey** (@alistair604; 1/0): @jessenleon I favour jabref, and use it with bookdown in R. https://t.co/95M8EMNFMq  [&#8618;](https://twitter.com/xieyihui/status/1121108609784532999)

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# knitr

> **We are R-Ladies** (@WeAreRLadies; 84/19): Another #knitr trick is `purl()`: extracting all the #rstats chunks from a markdown document to a separate R file, simply do `purl("example.Rmd")`. It is useful when you want to share R code instead of the Rmd. It does the opposite to `read_chunk()`.  [&#8618;](https://twitter.com/xieyihui/status/1123487215516917760)

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> **Jason Mercer** (@ecojydrology; 9/2): I'm goofing around with making a website for a paper I'm working on, as a way to open up my science to the public. Rmarkdown, knitr, and GitHub are just amazing resources for this kind of thing. Pretty stoked on the #rstats community. Thanks @xieyihui, @rstudio, and @github!  [&#8618;](https://twitter.com/xieyihui/status/1122993428793577473)

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> **Tormod Bøe** (@tormodboe; 7/2): The combo: dev. update of texreg (@PhilipLeifeld), knitr::kable (@xieyihui), and kableExtra (@haozhu233 ) closes the case for making any tables and exporting them to any format you wish from rmarkdown - even regressions on imputed data! Thanks to all developers! #Rstats  [&#8618;](https://twitter.com/xieyihui/status/1122109524029202437)

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> **Ben Rubin** (@Ben_D_Rubin; 5/4): A whole bunch of cool tricks here that I didn't know including `here`, `ggforce`, and `read_chunk`!
> >
> Selfishly retweeting so I can easily find this again when I need it ;)
> >
> #rstats #rmarkdown #knitr https://t.co/fxT5OLNGka  [&#8618;](https://twitter.com/xieyihui/status/1123565540830629888)

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> **JD Long** (@CMastication; 2/0): @michael_chirico @mdsumner The warnings=F is just what rmarkdown (or knitr?) use.  [&#8618;](https://twitter.com/xieyihui/status/1123167523958996993)

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> **Louise Ryan** (@LouiseMarieRyan; 2/0): @statsgen Well said Emi!  Proud to say I am a massive knitr fan .... does that count for #2?  [&#8618;](https://twitter.com/xieyihui/status/1121178423894794240)

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> **Henrik Bengtsson** (@henrikbengtsson; 1/3): Is it possible (hack?) to use #rstats knitr/rmarkdown to use a single persistent session for the bash engine such that 'ABC' is set also in the 2nd chunk:
> >
> \`\`\`{bash}
> export ABC=42
> \`\`\`
> >
> \`\`\`{bash}
> echo "ABC=$ABC"
> \`\`\`
> >
> (sorry if this is in a FAQ somewhere)  [&#8618;](https://twitter.com/xieyihui/status/1122918864088526848)

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> **David Diviny** (@daviddiviny; 1/0): Great trick! I think this is the most underrated feature of #rmarkdown and #knitr. https://t.co/rUXUaZDaXB  [&#8618;](https://twitter.com/xieyihui/status/1123472429597302794)

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> **ぱるユキ@Adelheid** (@p_2vl; 1/0): knitrって読めねぇ  [&#8618;](https://twitter.com/xieyihui/status/1123455413444325377)

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> **boB 🇷udis** (@hrbrmstr; 1/0): @henrikbengtsson https://t.co/gkkqwJfR0W is how {reticulate} does that for Python.
> >
> My suggestion is more of a "project" than a "hack" tho.  [&#8618;](https://twitter.com/xieyihui/status/1122920737239707648)

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> **boB 🇷udis** (@hrbrmstr; 1/0): @henrikbengtsson I haven't needed to do it but if you register your own knitr engine for a given interpreter you can do something like spawn a REPL and then feed the lines to the active REPL. https://t.co/lonvrf6NEG does not do that but it has boilerplate for making a knitr engine.  [&#8618;](https://twitter.com/xieyihui/status/1122920216869187584)

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> **Frank Harrell** (@f2harrell; 1/0): @aqsalose 2nd edition has &gt;100 new references, new case studies, new chapter on ordinal regression for continuous Y, and all the code runs in R.  A good deal of code has changed, and the entire book is reproducible (written using R+knitr+LaTeX).  [&#8618;](https://twitter.com/xieyihui/status/1122849225342160901)

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> **Phil Neff** (@cascadiasolid; 1/0): The goal of this, as @vm_wylbur says, is to avoid having to copy-paste data analysis outputs into a written report (also, accuracy and reproducibility). #pweave worked pretty well, though it's not quite as slick as #sweave and #knitr in R.  [&#8618;](https://twitter.com/xieyihui/status/1121502164541530112)

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> **F Rodriguez-Sanchez** (@frod_san; 1/0): @TimSalabim3 mmm works for me (using this example https://t.co/gphaoSTLva with knitr 1.22 and rmarkdown 1.12). But I get pure markdown image links ![]() always, not &lt;img ...&gt;  [&#8618;](https://twitter.com/xieyihui/status/1121342931221327872)

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> **Ken Butler** (@KenButler12; 0/1): today I learned: with a large Rmd document to turn into a Beamer presentation, use lualatex, specified in yaml header as shown, to avoid running into out-of-memory errors. #rstats #knitr https://t.co/4wKdomS5xU  [&#8618;](https://twitter.com/xieyihui/status/1123429151749361664)

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> **John Pickering** (@kiwiskiNZ; 0/1): decrypt_file() from the encrypt package opens a dialogue box to enter a private key to decrypt a file. However, I can't get this to run in a code chunk in #rstudio using #knitr. Any ideas #rstats peoples?  [&#8618;](https://twitter.com/xieyihui/status/1123341052641812481)

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> **志乃田たぐる** (@shinoda_taguru; 0/1): iPad用のmarkdownスライドアプリ無さげだから、対応策を検討中。https://t.co/rtdUIgrIJ1に{revealjs}をインストールして、rmdファイルをuploadして、knitr したらふつーにスライドになった。https://t.co/rtdUIgrIJ1は日本語入力できないのね。今度は、良さげなエディタアプリを探さないとね。 https://t.co/w31U2ublFR  [&#8618;](https://twitter.com/xieyihui/status/1122883112654921729)

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> **Joseph Crispell** (@JosephCrispell; 0/1): Adding figure captions and links into the your #rstats markdown documents:
> https://t.co/nx2aCWNaOp  [&#8618;](https://twitter.com/xieyihui/status/1121354164607639558)

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# xaringan

> **We are R-Ladies** (@WeAreRLadies; 41/7): Animating #rstats slides adds lots of fun to the presentation (and keeps the audience awake).
> >
> It is actually super easy (and fun) to animate #xaringan slides with animate.css https://t.co/r5HDpIdtkK 💃 Stepping into #xaringan opens up the whole CSS/JS world. https://t.co/uUXjaSzM51  [&#8618;](https://twitter.com/xieyihui/status/1123514899827699712)

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> **Gina Reynolds** (@EvaMaeRey; 35/4): A charming data cleaning pipeline to brighten the day! #rstats #tidyverse #tibble #xaringan https://t.co/exQS28MVKU  [&#8618;](https://twitter.com/xieyihui/status/1121870128558174208)

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> **Julia Silge** (@juliasilge; 33/5): @seanjtaylor I’ve been doing slides with gifs and lots of code using remark.js via the xaringan r package. Here is an example (includes sharing the slides on the web via gh-pages): https://t.co/fkhjsvomiB  [&#8618;](https://twitter.com/xieyihui/status/1122510897178660864)

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> **R-bloggers** (@Rbloggers; 20/6): Tips to Reduce the Complexity of Slide Making with Xaringan https://t.co/Otp7RXN5gb #rstats #DataScience  [&#8618;](https://twitter.com/xieyihui/status/1122942508630253568)

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> **We are R-Ladies** (@WeAreRLadies; 12/3): #xaringan default theme looking boring? 
> >
> Check out the full list of available themes contributed by other useR  https://t.co/DBb5cytdAY
> >
> Follow #xaringan kunoichi (and masters) @apreshill &amp; @statsgen
> for some #xaringan flair. https://t.co/thWQG0Lf0E  [&#8618;](https://twitter.com/xieyihui/status/1123580330223591424)

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> **Joshua Goldberg** (@GoldbergData; 5/2): @juliasilge @just_add_data @seanjtaylor Xaringan is amazing. Truly hats off to @xieyihui and any other contributing devs. Also to the JavaScript community. Here’s my recent creation with Xaringan: https://t.co/DboL43WxYp  [&#8618;](https://twitter.com/xieyihui/status/1122532875453325317)

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> **Patrick Schratz** (@pjs_228; 4/0): @grrrck @travisci @krlmlr @mbraginsky @_inundata @opencpu @rOpenSci It's these kind of posts why we all love open-source! On the other hand I adopted your ggplot xaringan idea 💡 :) so all comes back.  [&#8618;](https://twitter.com/xieyihui/status/1121130932440899584)

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> **Alex Bresler** (@abresler; 3/0): If you ever have to make a presentation @xieyihui xarigan is the greatest thing ever.
> >
> This is the best tutorial on the fun you can make with it.
> >
> https://t.co/oXJlw32PT5  [&#8618;](https://twitter.com/xieyihui/status/1122484195538948096)

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> **John Hill** (@JohnHill; 2/1): @BrendanTHalpin @pjakma @simongrund89 markdown + pandoc (via beamer) or Rmarkdowm + xaringan are also quite efficient.  [&#8618;](https://twitter.com/xieyihui/status/1121442479142834177)

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> **Chris Umphlett** (@chrisumphlett; 2/0): I learned a lot of new stuff. S/o to the following who inspired, enabled or taught: @xieyihui and the #xaringan package, @EvaMaeRey's #ggplot2 flipbook, @Spotify, @lastfm, @CMastication (easy way to hide API key), J. Kim's #lastfmr package #womenshistorymonth  [&#8618;](https://twitter.com/xieyihui/status/1122547048631369729)

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> **Sylvain Lapoix** (@SylvainLapoix; 2/0): @joelgombin L'ami @_ColinFay m'avait déjà fait découvrir les packages liés aux GIF. Avec cet outil, il contribue généreusement au projet de pop'isation de Xaringan.
> >
> Qu'il en soit remercié ! https://t.co/SkMpzGIDYv  [&#8618;](https://twitter.com/xieyihui/status/1121672550512070656)

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> **Sebastian H.** (@seathebass92; 1/1): slowly but surely getting better at git. Also, found out to cite in xaringan, you have to take a different approach vs Pandoc https://t.co/bDkLz3LLkY  [&#8618;](https://twitter.com/xieyihui/status/1122168473768136706)

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> **Thomas Hütter** (@DerFredo; 0/1): Posted by Yongfu, Liao, now on R-bloggers: Tips to Reduce the Complexity of Slide Making with Xaringan #rstats https://t.co/3Eyqj3zT8Z  [&#8618;](https://twitter.com/xieyihui/status/1122944196472713216)

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# yihui.name

> **Garrett Grolemund** (@StatGarrett; 8/3): @GuillermoBurr @rstudio I prefer R Markdown - easy to diff, I don't have to use it like a notebook, and it comes as part of a seamless toolchain for data science (RSPackage Manager &gt; IDE &gt; RMD &gt; RSConnect). But, I'm biased! Lots of insights here: https://t.co/IujYyodsGW  [&#8618;](https://twitter.com/xieyihui/status/1122127506411347969)

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> **Andrew Heiss, PhD** (@andrewheiss; 7/1): Also, AMAZING #rstats PSA: the Rd2roxygen package will convert old-style .Rd files into inline Roxygen commented documentation ~automatically~. It *also* has built-in formatR support and will reformat old code for you as you convert https://t.co/7SlbgBTdfo  [&#8618;](https://twitter.com/xieyihui/status/1121983309037178881)

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> **Dan S. Reznik 🔎** (@dreznik; 1/2): For Python users, in the beginning there were classes and methods. For R users, in the beginning there was the DATA. #rstats ; both exploded because they were scripted and offered an effective way to share packages.
> >
> https://t.co/9eXIgsODuB  [&#8618;](https://twitter.com/xieyihui/status/1122300156236505088)

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