blogdown

Mary E. Lennon (@MaryELennon; 3/0): @Md_Harris @benmarwick And blog about it on my new website created with blogdown in #rstats :) ↪

Garrick Aden-Buie (@grrrck; 2/0): @d_olivaw It was for blogdown and bookdown but not for markdown::render_site() ↪

Yihui Xie (@xieyihui; 2/0): @cantabile @apreshill Was it you who mentioned this pain once several months ago? I don’t remember now, but I pointed that person to this page (search for the word “confusing” there): https://t.co/id4TZC5R2r ↪

Katie Scranton (@DrScranto; 0/1): The resources and tips from yesterday’s @RLadiesPhilly meetup on the basics of blogdown are up!! https://t.co/zC5LpJLxrk ↪

R-Ladies PDX (@RLadiesPDX; 0/0): Our next @Meetup is part of #Hacktoberfest!! Blog-a-thon blogdown and knitr’ing - Tues October 9th 2018 - https://t.co/EQ5Bf1DaM4 #RLadies #Rstats @RConsortium @WeWork @IBMDeveloper ↪

bookdown

Mara Averick (@dataandme; 77/13): ICYMI, 💖 fresh modeling material from @topepos & Kjell Johnson:
📖 “Feature Engineering and Selection: A Practical Approach for Predictive Models” https://t.co/q6TUcTsfkI

• data and #rstats code: https://t.co/jby1hKo9nI https://t.co/IrjUDSWEp3 ↪

Yihui Xie (@xieyihui; 32/5): @bio_diverse If you want to publish with @CRC_MathStats: https://t.co/DxLCmanI5s If you want to self-publish: https://t.co/qAa5SBzUYX and https://t.co/3ZfCA1JXPk (thanks to @pabloc_ds) ↪

We are R-Ladies (@WeAreRLadies; 24/1): Happy Friday 🌞! Today I’m making time to start my slides for next week’s @RLadiesSF talk!

Did you know you can build presentations using #Rmarkdown inside #Rstudio? Even knit to powerpoint if that’s your thing 🤯! Learn more here: https://t.co/S2I0MDhWmT ↪

Romain Lesur (@RLesur; 15/7): Here are the slides of my talk at #uRos2018 on CSS paged media for #rstats markdown and #bookdown https://t.co/Rr4a26wX2h cc @uRos2018 ↪

Garrick Aden-Buie (@grrrck; 2/0): @d_olivaw It was for blogdown and bookdown but not for markdown::render_site() ↪

Solomon Kurz (@SolomonKurz; 2/0): Just to be clear, bookdown is spectacular https://t.co/zmu3nITQw1 ↪

fonzie (@OilGains; 2/0): See my review on Claus Wilke’s bookdown on “Fundamentals of Data Visualization”. He provides the #rstats souce code. I put it together with the libraries in a Docker container https://t.co/bjV9Kb6Nfm. I am sure the structure will be useful for you. https://t.co/9DUVkR6rOM ↪

Yihui Xie (@xieyihui; 2/0): @cantabile @apreshill Was it you who mentioned this pain once several months ago? I don’t remember now, but I pointed that person to this page (search for the word “confusing” there): https://t.co/id4TZC5R2r ↪

Dan Simpson (@dan_p_simpson; 1/0): There is nothing that confuses me more than Bookdown confuses me. My kingdom for a “MAKE THIS A PDF” button! ↪

Ulf Hamster (@bubblride; 1/0): @bio_diverse I already decided to write my first book with #bookdown but I kind of struggle with the writing part ↪

Dr Gavin Simpson (@ucfagls; 0/0): @dan_p_simpson and you used bookdown::pdf_book: in the YAML under output: as per examples in @xieyihui’s book? ↪

Dr Gavin Simpson (@ucfagls; 0/0): @dan_p_simpson pdf_book()? Have this as the only output type in the YAML

output:
bookdown::pdf_book:
keep_tex: yes

https://t.co/jRRBrm67Jq (sorry, html… ;-) ↪

knitr

annakrystalli (@annakrystalli; 30/4): Been working on a lot of #rstats teaching material this month.

The most awesome/useful discovery has been ✨ knitr::opts_chunk$set(error = TRUE) ✨ for including error messages in Rmd.

Super useful to be able to show when and why code might fail! ↪

Raúl (@RaulAbCastro; 4/0): Duda genuina para tesistas/investigadores que usan R: ¿cuál es la mejor forma de integrar código/gráficos a un reporte en LaTeX? ¿Knitr/Sweave/Markdown/otro/a manita/“pa k kieres saber eso jaja saludos”? Por aquello de la tesis… ↪

R-Ladies PDX (@RLadiesPDX; 0/0): Our next @Meetup is part of #Hacktoberfest!! Blog-a-thon blogdown and knitr’ing - Tues October 9th 2018 - https://t.co/EQ5Bf1DaM4 #RLadies #Rstats @RConsortium @WeWork @IBMDeveloper ↪

instant-bot (@instant_bot; 0/0): * knitr - was designed to serve as both a concise quick-reference and a comprehensive introduction for newcomers to the language. ↪

xaringan

Brandon Greenwell (@bgreenwell8; 7/1): Thanks to GitHub pages, I finally got my #xaringan #rstats presentation on “Random Forests and Gradient Boosting Machines in R” presented at UC’s Machine Learning Day back in February online: https://t.co/lkd7HGHU31 🙌 ↪

Salah 🇺🇸💯♥️ (@Jabajr11; 3/1): Usei xaringan snz ⚽👏 https://t.co/U8DEfDMpQV ↪

Ghislain Nono Gueye (@GueyeNono; 0/0): Is there any work-around for being able to use infinite-moonreader in @rstudio on Windows? #rstats #xaringan ↪

yihui.name

Yihui Xie (@xieyihui; 32/5): @bio_diverse If you want to publish with @CRC_MathStats: https://t.co/DxLCmanI5s If you want to self-publish: https://t.co/qAa5SBzUYX and https://t.co/3ZfCA1JXPk (thanks to @pabloc_ds) ↪

Stephen Pimentel (@StephenPiment; 2/0): The First Notebook War: So @joelgrus doesn’t like #Jupyter notebooks. Here are some thoughts on notebooks, IDE, and R Markdown.
https://t.co/Y5YkcV02Tp ↪

R Weekly Live (@rweekly_live; 1/1): The First Notebook War @xieyihui #rstats #datascience https://t.co/wrg28Q2Jaz ↪

Data Elixir (@dataelixir; 1/0): The First Notebook War by @xieyihui https://t.co/BsAdCh6tJS #jupyter ↪

James Salsman 📎 (@jsalsman; 0/0): @aussiastronomer @ProjectJupyter I love Jupiter Notebooks, but it’s best to warn about the caveats; here’s a good both-sides https://t.co/WfcSqM83ii based on https://t.co/YWv3p85ngg ↪

ktheyss (@ktheyss; 0/0): ‘The First Notebook War’ , https://t.co/m6ktfIuLl9, fun read on notebooks, IDE, and R Markdown. Especially for those in the middle of (basic) writing and using code by @xieyihui ↪

Yosel (@yoseljaimes; 0/0): https://t.co/YDIuAA5Ocf ↪