blogdown
Alison Hill (@apreshill; 98/29): Another spoonful of Hugo for #rstats #blogdown users:
🍃 Why (and how) you should use Hugo’s new page bundles feature
https://t.co/GzxYGUx79C
Previous spoonfuls:
👺 Archetypes (https://t.co/7U2LlgIMxP)
🗃️ netlify.toml file (https://t.co/11J7LIv68X) ↪
Ben Ackerman (@backerman150; 42/8): 🤔 Hey #PhDchat, what are some of your reasons for making a personal website? I’ll be sharing my two cents and leading a website-building tutorial using #rstats and #blogdown today @JohnsHopkinsSPH at 12:15 pm in W2029! https://t.co/93czjA5wyq ↪
Mara Averick (@dataandme; 30/5): 🥄 Another super useful dose of hugo for #blogdown users!
“A Spoonful of Hugo: Page Bundles” 👩🏻🏫 @apreshill
https://t.co/kmRmn3c20a ↪
Roel (@RoelMHogervorst; 12/3): Quick hack for #rstats #blogdown : rebuild your hugo website a few times a week. This allows you to schedule your blogposts in the future
https://t.co/wyDNUuVDtx ↪
Nick Zeng (@zenggyu; 11/4): Hey, #rstats community, I just figured out how to host my #blogdown blog using services provided by @gitlab & @cloudera. It works like a charm and has saved me a lot of trouble and money!😊
Here’s the post to share how I did it, check it out:
https://t.co/IvOGvpeoLn ↪
Jonathan Carroll (@carroll_jono; 11/0): Current status: testing out blogdown. This could be a rabbit hole 🐰🕳️ ↪
Ben Ackerman (@backerman150; 7/1): PS if you can’t make it, here’s the tutorial I will be going through (courtesy of @apreshill): https://t.co/sKAvW6vcUi ↪
Ben Ackerman (@backerman150; 5/0): I’ll also give a shameless plug for my own #blogdown website with a link to find my slides from today 🙃 https://t.co/Ug4ObGZPKZ ↪
Leon Eyrich Jessen (@jessenleon; 4/2): #Rstats + #blogdown + Hugo Academic = 🏆🏆🏆
Using this combination and #RStudio really is quite satisfying, when the aim is to build a website for my small #dataScience training company @nordicdatalab:
https://t.co/E1wrHBaH5i ↪
We are R-Ladies (@WeAreRLadies; 4/1): @swmpkim @JennyBryan @statquant @daattali @i_steves @LockeData @thinkR_fr @tjmahr @ozjimbob Finally, I found @xieyihui’s post on notebooks, IDE, and R Markdown an interesting read https://t.co/jBIYXqrjrV
I enjoy his writing style and sense of humour (eg. https://t.co/2uD8j8lzFx), so recommend his blog in general! Check out the Chinese blog for another side of him :) ↪
Jonathan Carroll (@carroll_jono; 3/0): @grrrck @livingwithdata Maybe I need to create a dummy blogdown and play with it. Peer pressure FTW! https://t.co/KDUXyn2a6L ↪
Duncan Garmonsway (@nacnudus; 2/0): It took about a day to get to the bottom of how rmarkdown renders documents. Now I’m in blogdown and wow are there a lot more layers. ↪
Jonathan Carroll (@carroll_jono; 2/0): Okay, #blogdown is very cool, and overall is taking less configuration than my WP instance, but still lots of fiddling to do. Once I’ve imported and tweaked I’ll show it off. ↪
Sharleen W (@_sharleen_w; 2/0): @apreshill Thank you for retweeting my post! I wanted to say thank you for writing the article “Up and running with blogdown”, I followed it step-by-step and it worked perfectly to get my website working! (I also copied your Academic theme, thank you!) ↪
Matt Dray (@mattdray; 2/0): @BrodieGaslam @carroll_jono Same. Blogdown has made things much easier for me because I write about R. Focus on the posts first; customise the site later. I took a template and later tweaked some colours and fonts, e.g. https://t.co/NR7JRpqh3m ↪
Garrick Aden-Buie (@grrrck; 2/0): @carroll_jono @livingwithdata That’s cool, and blogdown does too! Somehow starting a draft post seems like so much more work, but I can open github issues all day long 😂 ↪
Alison Hill (@apreshill; 2/0): @BrodieGaslam @mdsumner interesting question, I’ll test that out! That is on my to do list. In the mean time if you can post enough in a GitHub issue that would be great: https://t.co/o8dktRwUrQ ↪
Sebastian Sauer (@sauer_sebastian; 2/0): @x00live @carroll_jono I switched to rmarkdown/github, and never felt like going back. Hugo with blogdown is great, maybe that’s also something for you ↪
BrodieG (@BrodieGaslam; 2/0): @apreshill @mdsumner Great read. Have you been able to use bundle archetypes? I could not for the life of me get blogdown::new_post() to play nice with it. Does blogdown::new_post() work for you with bundle archetypes, or only via the Rstudio add-in? ↪
BrodieG (@BrodieGaslam; 2/0): @carroll_jono I was happy to ditch my WP site for blogdown/hugo/netlify. If you do a lot of Rmd stuff it seems like a no-brainer. Beware though, you can sink a huge amount of time to get your site just right in blogdown. If you can accept an off the shelf setup as is then its not too bad. ↪
Duncan Garmonsway (@nacnudus; 1/0): Radix vs Blogdown? As a scarred and bleeding Linux user since 2011 with squillions of config files, I can’t put it more strongly than this: I use Radix defaults. ↪
Jonathan Carroll (@carroll_jono; 1/0): @tylergbyers It’s precisely that and I know it. But it’s a barrier to even trying something else.
Peer pressure is going to get me to try blogdown and I’m probably going to love it. I need to find some free time though. ↪
Matt Dray (@mattdray; 1/0): @carroll_jono @vboykis @bearloga A nice thing about the Blogdown approach is you can run a spellcheck on your Rmd file before pushing, e.g. https://t.co/uPkhkdEmVf ↪
Alison Hill (@apreshill; 1/0): @jamie_lendrum I believe it works for any single HTML output (like it won’t work for bookdown/blogdown) but it does for flexdashboard, standard HTML, etc ↪
Adam Gruer (@AdamGruer; 1/0): these posts are so helpful #rstats #blogdown https://t.co/Hi4ZznC9Zg ↪
Ming Tang (@tangming2005; 0/1): Adding Syntax Highlighting to Blogdown Posts
https://t.co/6j5sArESNM #rstats ↪
Duncan Garmonsway (@nacnudus; 0/0): Status update: I understand how blogdown renders documents and it doesn’t seem possible to override https://t.co/LkTQHS7xqL ↪
尼古拉斯·汤师爷 (@00prc; 0/0): @leodknuth @p3p3pp3 https://t.co/vjKf4bd4Jh ↪
Alison Hill (@apreshill; 0/0): @whiskersedge @dataandme Here is a comparison: https://t.co/5t6t50C9yD ↪
𝙸𝚕𝚓𝚊 (@fubits; 0/0): TIL that @GoHugoIO has a built-in getCSV / getJSON function. Might be helpful for #blogdown users, too. https://t.co/3rwucyaXmd https://t.co/5SsNYRHwsr ↪
Jeffrey Girard (@jeffreymgirard; 0/0): @julianetzel Haha, I’ll put together a blogdown post soon. Stuck in meetings now. ↪
bookdown
Max Kuhn (@topepos; 265/65): The final countdown!
All of the chapters of our book are now available at https://t.co/bNeNSVDj3G
4 new chapters on profile data and feature selection. Chpts 2 and 7 were updated. We’ll finalize for production in 1 month
Comments/questions: https://t.co/XZI0Mt0TwI
#rstats https://t.co/9Qh23biIUJ ↪
Anna Quaglieri (@annaquagli; 13/1): Wow! Setting up for an #rstats @RLadiesMelb workshop with this view is just the best ☀☀😍😍 @NousGroup #Rbooks #rticles #bookdown https://t.co/gSbcJsLXQL ↪
Henning (@henningsway; 11/2): Definitely one of my favourite #rstats #bookdown books! https://t.co/adiY5FFrDO ↪
R-Ladies Melbourne (@RLadiesMelb; 10/7): #bookdown: the answer to @annaquagli’s problems. Nice way to create RMarkdown documents - not just books! Provides a flexible way of cross-referencing between sections, with the ability to tweak the formatting and structure. #rstats
https://t.co/qoskz5wGak https://t.co/8nfZhLYubu ↪
Anna Quaglieri (@annaquagli; 10/4): My final top tips for papers in #R:1. 👀 for #RmdLaTex template in the #rticles 📦 or #BiocWorkflowTools for @F1000Research; 2. use the flexible-general #bookdown::pdf_document2; 3. if you are a #LaTex guru 🤓 code new journal templates 🙏! https://t.co/H9fFLlv8vr …#rladies https://t.co/2o5sj4qFJG ↪
Yihui Xie (@xieyihui; 5/1): @TrashBirdEcol @rstatstweet @rstudiotips Here is what I did in the bookdown book: https://t.co/m2uNS8sKQq and packages.bib was used in index.Rmd: https://t.co/24hdjMUoBq ↪
Kris Stevens (@kristophrdelane; 4/5): Does anyone who has published a physical book via bookdown/git/#rstats have any time to talk to a few people who are putting together a book on Data Science for Educators who have questions about non-technical processes? ↪
Javier Nogales (@fjnogales; 4/2): Feature Engineering and Selection: A Practical Approach for Predictive Models https://t.co/02C38Nj4A6 by @topepos and Kjell Johnson
A beta version that looks very good! #datascience #rstats https://t.co/xS20Mo3s9C ↪
We are R-Ladies (@WeAreRLadies; 4/0): @swmpkim @JennyBryan @statquant @daattali @i_steves @LockeData @thinkR_fr @tjmahr Also ICYMI, you can add tabs in HTML reports :) https://t.co/1JHDjOgPpv
They’re so easy to add and, as @ozjimbob discovered, you can iteratively generate tabs and corresponding outputs! 👍😀
All of this compatible with both .Rmd and .R 😍
https://t.co/Axv69eGVDo https://t.co/KUeJnsw79l ↪
Robert Osazuwa Ness (@osazuwa; 3/1): Im writing a tutorial on causal inference in ML, settled on using #bookdown in @rstudio, and using some models in pytorch via the reticulate package. I think I just heard the “power up” soundbite from Altered Beast… ↪
Anna Quaglieri (@annaquagli; 3/0): @_StuartLee @RLadiesMelb I actually just recently learnt it from reading the bookdown book! I have always been an underscore type of person 😁 ↪
Gwenaëlle L. (@GwenaelleL_; 3/0): @matthiasblum @yokofakun @nlavielle @BioinfoFr Dès que j’ai fini mes articles sur la nomenclature des omiques, l’analyse et intro au text-mining de l’enquête https://t.co/5DQHJfLoNP, l’intro à bookdown, la présentation de réseaux de co-expression de gènes.
Easy :D ↪
Robert Boscacci (@cinemarob1; 2/2): @Audrey_Sage_ this feature engineering eBooklet is #MachineLearning gold, thanks for sharing with the class https://t.co/VIERNcu4q3 ↪
Martin John Hadley (@martinjhnhadley; 2/0): I really appreciate @xieyihui taking the time to go through his thought process. I’m now convinced it’s much better to refer back to a section rather than an individual code chunk 😄
Not because I can’t be arsed to implement it 😂 https://t.co/s86XrE6mHS ↪
learnbyexample (@learn_byexample; 1/2): @driscollis good summary, I’ll probably write one too once I’m done setting my blog
regarding book generation, I plan to check these out:
- https://t.co/yASpwqzDzl
- https://t.co/ZGFgT23xj6
- https://t.co/hFn41KTkrM
Currently I only do markdown-to-pdf with pandoc ↪
Lucy Liu (@lucyleeow; 1/1): @methylnick @RLadiesMelb Bookdown by @xieyihui ↪
Solomon Kurz (@SolomonKurz; 1/1): @alexpghayes @glupyan @tjmahr And if you’ll allow me a gratuitous plug, I’m slowly chipping away at Kruschke’s text, including the ANOVA stuff. I was hoping to be done this spring. But based on my recent pace, it’s looking more like fall or winter before it makes it into #bookdown form https://t.co/Tbk9NosFpK ↪
Ben Anderson (@dataknut; 1/0): .Rmd, a .bib file, #rstats #knitr #bookdown & a multi-user @github repo is probably the only sensible way to collaboratively write scientific documents (articles, funding bids etc) when the output needs to be an editable word doc. ↪
Dan S. Reznik 🔎 (@dreznik; 1/0): @bearloga i’d add to the list: Kieran Healy @kjhealy ’s data viz book https://t.co/ViHfhv1w58 ; and as 3rd: Max Kuhn’s @topepos just out book on feature engineering https://t.co/fr7ohVgJNo – these guys ROCK ↪
Droo Tire (@atiretoo; 1/0): @TrashBirdEcol I just knitted it to bookdown, got a pdf with working links to tables and figures? ↪
Jeremy R. Winget (@_jwinget; 1/0): I’ve been looking for a resource like this for awhile and cannot wait to dig in!
📖 Feature Engineering and Selection: A Practical Approach for Predictive Models
🔗 https://t.co/sn0SLsxLhf https://t.co/E5iXMYmBw8 ↪
Ujaval Gandhi (@spatialthoughts; 1/0): @drdcarpenter Thanks. I used the ’tufte_handout’ format https://t.co/pLUZ41k9sZ ↪
Christoph Molnar (@ChristophMolnar; 1/0): @RoelandtN42 @xieyihui Yes, the book is based on bookdown. ↪
Nicolas Roelandt (@RoelandtN42; 1/0): @ChristophMolnar I’m not into ML and such but thanks for making it in Creative Commons!
Did you used bookdown? Looks like it 😁
If so maybe @xieyihui can add it to the bookdown website… 🤔 ↪
Ken Butler (@KenButler12; 0/0): @hadleywickham this would be part of a bookdown that went “6 groups, 8 fields”. ↪
Data Science PY (@Data_Science_PY; 0/0): https://t.co/JQPVFWrkz3 ↪
syed sheheryar (@sjsheheryar; 0/0): Feature Engineering and Selection: A Practical Approach for Predictive Models https://t.co/i7Mmh60RIE ↪
Dr Alan Beckles (@Ritmonegro; 0/0): Feature Engineering and Selection: A Practical Approach for Predictive Models https://t.co/ERkdeAKRDg ↪
RK Veluvali (@IamRKVeluvali; 0/0): Feature Engineering and Selection: A Practical Approach for Predictive Models https://t.co/ahv2dzf4bO ↪
krismp ⚡ (@_krismp; 0/0): https://t.co/eyp5GlYln3 ↪
Kostas Kokkas (@KokkasKostas; 0/0): Feature Engineering for predictive models free on-line book. Available to download and as pdf. Enjoy here: https://t.co/U0clYs063l #DataScience #MachineLearning #PredictiveAnalytics #featureengineering ↪
Matthew Currier (@mcurriernyc; 0/0): https://t.co/3gvN2mkmWH ↪
Francesc Rossello (@cescro; 0/0): @luisrodriguez_z Hola,el libro no existe, estamos preparando una versión bookdown, se va actualizando en
https://t.co/yPEOZ3cpuH y
https://t.co/OvhL8II4w1
En unos meses será final. Gracias por tu interés ↪
knitr
Sahir Rai Bhatnagar (@syfi_24; 17/5): Reminder to myself: when working on the text portion of manuscripts in #knitr documents, create a global variable
finalversion <- FALSE. Then seteval=finalversionin every #rstats code chunk to avoid lengthy re-compilations. https://t.co/0aQMku43aE ↪
Ulrik Lyngs (@ulyngs; 11/1): New #rmarkdown blog post: How to use #pandoc #filters to take total control over your output formatting when #knitr’s options ain’t enough for what you need.
https://t.co/cxmb6hulHa @xieyihui #oxforddown ↪
tj mahr 🍕🍍 (@tjmahr; 9/0): @AllieSherier @thomas_mock knitr::kable() with knitr/rmarkdown or gt::gt() ↪
R-Ladies São Paulo (@RLadiesSaoPaulo; 8/1): A @BeaMilz e a Mariana Dias Guilardi falaram sobre relatórios dinâmicos no R, nesse sexto #meetup do #rladiesSP ! A apresentação está disponível em https://t.co/3zIlGos7AE #knitR #Rmarkdown #RStats #RLadies https://t.co/pHYgPKZmA0 ↪
Rodrigo Botafogo (@RodrigoBotafog1; 6/1): Just published
galaaz v0.4.6on RubyGems. This version improvesgknitthat allows documenting Ruby applications in rmarkdown documents (this is knitr for Ruby). It also improves Ruby expressions to allow integration withdplyrandtidyverse. ↪
yoni sidi (@yoniceedee; 5/1): { #ggplot2 } + {whereami} (in a knitr chunk) #rstats https://t.co/7O2nHgmqVz ↪
John Minter (@jrminter; 3/2): #rstats TIL how to make a code chunk for a pagebreak only in a PDF document when I want to knit both PDF & html:
```{r, results=‘asis’, echo=FALSE, eval=(knitr::opts_knit$get(‘https://t.co/u6OigLrGxp’) == ’latex’)}
cat(’\pagebreak’)
``` ↪
We are R-Ladies (@WeAreRLadies; 3/0): @swmpkim @JennyBryan @statquant @daattali @i_steves One of my favourite #rmarkdown features when working with large data sets: caching code chunks with knitr::opts_chunk$set(cache=TRUE)
This works best when your chunks are named, eg. using @LockeData’s {namer} https://t.co/OlVCwZaPDM
More on {knitr} opts: https://t.co/vBLRYUWMkq ↪
Camping Municipal (@CampingMunicip; 1/0): @HydrePrever #knitr or #Jupytr https://t.co/tSfExCM6jR ↪
Tanya Murphy (@tmurphEpi; 1/0): @EpiSconroy While not a programmatic solution and may not fit into your usual workflow (I really should just stop…), I find knitr::kable(table, digits = c(2, 2, 8)) useful. It has an output format for latex. If your 1st column is text use c(NA, 2, 2, 8) ↪
Miha Kosmac (@biomiha; 1/0): @S_Owla You can knitr::purl an .Rmd file to an .R file as well. The one big plus of .Rmd notebooks in RStudio for me is the scrollable output of big dataframes ↪
Amelia McNamara (@AmeliaMN; 0/1): @LucyStats @jtleek I just get two pieces of code over and over.
library(knitr)and
pandoc(“analysis_results.md”, format=“html”)↪
RPubs recent entry (@RPubsRecent; 0/0): Knitr Demo https://t.co/amGYIw0AGn ↪
Dr Pauline Provini (@PaulineProvini; 0/0): Very cool tool highlighted by @daattali to transform an .R file into a good looking @markdown report! Easy to use with #RStats and crucial for #reproducible research!
Knitr’s best hidden gem: spin https://t.co/CQoYK9Rcqa ↪
Brendan Cooley (@brendanmcooley; 0/0): This is very useful. Thank you @xieyihui https://t.co/XdZ11ps7Ti ↪
kazutan (@kazutan; 0/0): @Kimihira0120 細かい仕様はここにあります
https://t.co/6m5pTEZ38P ↪
tinytex
Fedora Linux Users (@fedorausers; 0/0): Fedora 28 Update: R-tinytex-0.10-1.fc28 https://t.co/fAAcRWco3p ↪
Yihui Xie (@xieyihui; 0/0): @DaveQuartey @juliewfarmer @sorenlind TinyTeX is cross-platform, meaning that it also works on Windows. I’m pretty sure it is smaller than MiKTeX. Also note that the basic MiKTeX version is unlikely to work for R Markdown because there are more LaTeX packages required. ↪
xaringan
Garrick Aden-Buie (@grrrck; 460/109): THIS IS SO COOL!!!
Instantaneous #xaringan #rstats slide previews! 🤩 @xieyihui, you rock! https://t.co/MEGhQCuq7e https://t.co/yYG5zIRM0C ↪
Gina Reynolds (@EvaMaeRey; 220/42): A bit more flipbooking. 🙂🙂 “The Tidyverse in Action” project, steps through plotting and wrangling with reveal() (@statsgen, @grrrck) pausing at + and %>% and ->. Work in progress. #rstats #xaringan @Gapminder https://t.co/cicsBFrUeh ↪
Colin Fay 🤘 (@_ColinFay; 178/55): {xaringan} just reached a whole new level.
“The Ultimate Infinite Moon Reader for xaringan Slides”
https://t.co/efCgzBrzfI https://t.co/jVBmqvUjrK ↪
Mara Averick (@dataandme; 132/34): ⚔️ Instant preview, no rebuild required!
“The Ultimate Infinite Moon Reader for xaringan Slides” 👨🏻💻 @xieyihui
https://t.co/S96Gb0aifE #rstats #rmarkdown https://t.co/STTTMDa5iJ ↪
Gina Reynolds (@EvaMaeRey; 45/9): A bit more flipbookery. 🙂🙂 “The Tidyverse in Action” project, steps through plotting and wrangling with reveal() (@statsgen, @grrrck) pausing at + and %>% and ->. Work in progress. #rstats #xaringan @Gapminder https://t.co/SZtwhX8SmE https://t.co/MJ5qSSDeTo ↪
Dianne Cook (@visnut; 43/5): Changing the body font size in xaringan slides took me too long to work out. Unlike h1, h2, … which can be changed easily, doesn’t work for body {…}, even though colour does. You need to add
.remark-slide-content {
font-size: 32px;
}to your css. @xieyihui ↪
Garrick Aden-Buie (@grrrck; 38/16): @xieyihui Now available in the GitHub version of {xaringan}! https://t.co/tl7CuhcXux
Live preview…
⚡ previews text and code while you write
❌ doesn’t re-run code chunks
❌ breaks when number of slides change (+/-)
📑 picks back up when you save your file
🧙♂️ is real life magic! ↪
R Weekly Live (@rweekly_live; 12/5): The Ultimate Infinite Moon Reader for xaringan Slides @xieyihui #rstats #datascience https://t.co/joM9B9GZVw ↪
Sharla Gelfand (@sharlagelfand; 7/0): @grrrck every time i google how to do something in xaringan you have a blog post about it
so good
how ↪
Sharla Gelfand (@sharlagelfand; 7/0): @grrrck @xieyihui oh this is AMAZING! i just started using xaringan and the things that bothered Yihui also bothered me – yes, i don’t want to wait a few seconds! ↪
Omni Analytics Group (@OmniAnalytics; 6/3): Latest development version of #xaringan slides in combination with the @RStudio addin Infinite Moon Reader = automatic live preview of #rmarkdown output in the RStudio viewer! #rstats https://t.co/qmpIYETXOf ↪
Gorka Navarrete (@gorkang; 5/0): Cool way to create presentations with instant preview… #xaringan by @xieyihui
As easy as 123:
- remotes::install_github(‘yihui/xaringan’)
- Set xaringan::moon_reader as output in the doc header
- Run xaringan::inf_mr() in the console
Thanks @grrrck for the tip! https://t.co/oXkdD2a775 ↪
Alex Norman (@Aarleks; 3/1): The new live-preview capability in the latest update of @xieyihui’s Xaringan package for making presentation in RMarkdown is very, very satisfying. #rstats
https://t.co/EprAnlZc4k ↪
Dale Maschette 🐟🧗♂️ (@Dale_Masch; 3/0): @_abichat @romain_francois @_lionelhenry @privefl that xaringan sticker 👌 ↪
Daniel Sjoberg (@statistishdan; 2/0): First time using #xaringan to create slides. The documentation made it quick to pull the presentation together, and they look great! Thanks @xieyihui! 🥳🤗 ↪
superboreen 🇮🇪 (@superboreen; 2/0): This is great!
Working fine for me today on Ubuntu 18.04 and RStudio preview.
#xaringan #rstats https://t.co/B6gft5fMXT ↪
Stas Kolenikov (@StatStas; 2/0): I wonder if there is a button for that in xaringan @xieyihui https://t.co/pfCC4GSmmi ↪
Omar Wasow (@owasow; 2/0): @EvaMaeRey Thank you for these flip books! I’m just learning Xaringan for teaching this semester and your slides are a model of how to show the step-by-step process of building a plot with ggplot. ↪
Charles T. Gray (@cantabile; 2/0): Crisis averted everyone who cares*. I installed xaringan::. 🥐
*I can pretend Euclid does. ↪
Yohan J. Rodríguez (@hasdid; 1/1): #R #Automated | The Ultimate Infinite Moon Reader for xaringan Slides https://t.co/9Rbak0gN5X ↪
Charutinho (@NeguinNicolasT2; 1/0): @NetoVerissimoM Estou chegando no pique do xaringan ↪
Rick Pack (@rick_pack2; 1/0): The @EvaMaeRey flipbook #rstats code enables progressing through dataviz layers line-by-line with a key press. Beautiful use of #xaringan for instructive presentations. https://t.co/qwpxDMoDeg ↪
Chi Zhang (@Andreasheenn; 1/0): Not a #xaringan user yet but this looks fun! https://t.co/RQSGA02u6N ↪
Omar Wasow (@owasow; 1/0): @rudeboybert @andrewheiss With R Markdown + Xaringan, I find HTML comments routinely mess up the compiling of slides. This looks like a good alternative. Danke. ↪
Oscar Baruffa 🔎📊🇳🇱 (@oscar_b123; 1/0): OK, time to learn how to use #xaringan #rstats https://t.co/OvzKaf5yg4 ↪
artzyatfailing2 (@artzyatfailing2; 1/0): Why did I only see this just now in the #xaringan #Rmarkdown slides template? So many missed opportunities… colleagues get ready to be Bromanized. https://t.co/mhxmxCeutB ↪
Zhi Yang (@zhiiiyang; 0/0): How to exclude some slides from rendering in #xaringan and make a shorter version of your existing slides? A neat solution based on the answer from https://t.co/fK9aLaJYho #rstat
exclude: true
Title of the slide ↪
PeopleSpace (@PeopleSpaceOC; 0/0): Tonight at PeopleSpace, Orange County R Users Group (OCRUG) Meetup: “Opinion Mining of Climate Change Research and Xaringan Slides”.
RSVP: https://t.co/m0GNFkpbsf https://t.co/AMe3VlRrxx ↪
SSSS.ando (@hirahira2835; 0/0): xaringan::でリアルタイムプレビュー出来ない！！ ↪
Lars Schoebitz (@larnsce; 0/0): @trj2 You work with #rstats or? Not real-time voice recognition but #xaringan has significantly reduced my time load and frustration when preparing a talk. https://t.co/t3MSdX6b2d ↪
かつどん (@nozma; 0/0): 新しいxaringanのコレ本当良いな。 > The Ultimate Infinite Moon Reader for xaringan Slides - Instant preview without fully rebuilding HTML, and the linked navigation - Yihui Xie | 谢益辉 - https://t.co/sYcrw89jZD ↪
Grant McDermott (@grant_mcdermott; 0/0): Oh, this is cool. TikZ in HTML docs. Something to consider for Xaringan @xieyihui? https://t.co/zdAUYYgOhU ↪
kazutan (@kazutan; 0/0): ほぼxaringanを作るのと同じくらいのレベルになりそう……なかなかに厳しい ↪
Eileen F. Leigh (@urinjaini; 0/0): Practically. @gwurz77 @gahlan99 #xaringan ↪
Jamie Lendrum (@jamie_lendrum; 0/0): @apreshill Ooh, thanks! I was thinking it was just for xaringan… ↪
Mara Averick (@dataandme; 0/0): @andremrsantos @xieyihui This is in the xaringan package, which is only slides. ↪
Salifyanji Aaron (@asimumba_; 0/0): #rstats #xarigan The Ultimate Infinite Moon Reader for xaringan Slides - Instant preview without fully rebuilding HTML, and the… https://t.co/wuDRXbhIan ↪
das Kino (@kyn02666; 0/0): @kmizuno16 そこでxaringanですよ ↪
yihui.name
Gorka Navarrete (@gorkang; 1/0): @xieyihui @grrrck More info here: https://t.co/Yja4Tl5QZd
#rstats ↪
ashish (@a5hi5h; 0/0): The First Notebook War - So Joel Grus doesn’t like Jupyter notebooks. Here are some of my thoughts on notebooks, IDE, and R Markdown. - Yihui Xie | 谢益辉 https://t.co/Jxvw1w4D4Q ↪
Aizan Fahri IIX (@aixnr; 0/0): Thanks for this, @xieyihui !! https://t.co/cbN1AI7tnN ↪
Carlos (@coforfe; 0/0): https://t.co/4EtfNrhwx0 https://t.co/WmpWe0ReHm ↪