I like latex tables. If someone else makes them -.-. But when working with #bookdown, @haozhu233’s kableExtra package is a blast and even I can produce nice tables - directly from #rstats code. End-to-end workflow with 0 c/p. Awesome, incl. good docs :-) https://t.co/UkxGXsHfCT https://t.co/Iw6VUFmEPi

2018/10/04

blogdown

Graham MacDonald (@GrahamIMac; 4/1): Whens the R package coming out? #blogdown_dog https://t.co/oMdssmwlon ↪

Recle Etino Vibal (@recleev; 1/1): In a first in a series of posts, I talk about tidy data priciples and how to apply them with a real world data from @PSAgovph. Also new look for my blog #rstats #blogdown #tidyverse #tidydata #ConsumerPriceIndexPH https://t.co/hYJzhKIAze ↪

Joseph V. Casillas (@jvcasill; 1/0): @shravanvasishth Have you tried #blogdown for creating a course? It’s about as flexible as your css skills allow. I highly recommend it if you haven’t given it a try. ↪

bookdown

Lorenz Walthert (@lorenzwalthert; 21/5): I like latex tables. If someone else makes them -.-. But when working with #bookdown, @haozhu233’s kableExtra package is a blast and even I can produce nice tables - directly from #rstats code. End-to-end workflow with 0 c/p. Awesome, incl. good docs :-) https://t.co/UkxGXsHfCT https://t.co/Iw6VUFmEPi ↪

Elías Eyþórsson (@eliaseythorsson; 3/0): Just shy of 2w into writing my thesis. Finished ~ 33% of the introduction and solved @rstudio+bookdown+Github workflow. My original goal was to finish the thesis in 6-8w, I think this is still attainable. Any criticism/tips are appreciated. #phdchat #AcademicTwitter #writingtips https://t.co/Q0gbqp8aTn ↪

Hao Zhu (@haozhu233; 1/0): @serdarbalci @dataandme I would say this method can but lots of the css preprogrammed here are bookdown specific, at least for now. ↪

Cami Fuglsby (@CFuglsby; 0/0): Teaching myself bookdown this evening! #R #RStudio #RMarkdown #RMD #bookdown ↪

data_sciesotist (@data_sciesotist; 0/0): R Markdown: The Definitive Guide 4.4 PowerPoint presentation
https://t.co/btZjphblqo

via r-wakalang ↪

knitr

niszet📚技術書典5 い04 (@niszet0; 1/0): まだまだ全然knitrもpandocもわからないのだが、あれだけやってもこれしかわからないから、たぶん詳しい人に聞くのが正しい。私詳しい側に片足突っ込んじゃった気もするけど ↪

baptiste (@baptiste_auguie; 1/0): @rOpenSci @ma_salmon this knitr alternative may help with the elusive un-knit function to merge changes done to the output: since chunks and inline code are tagged as such in the input AST, they can be filtered out when diff-ing the output AST and its commented version containing the tracked changes. ↪

Duane Baker ☀️ (@DBakerIT; 0/1): Finalfit, knitr and R Markdown for quick results | @Rbloggers https://t.co/X397SdBuv1 #rstats #DataScience
#rbl https://t.co/fqtC0PDM06 ↪

niszet📚技術書典5 い04 (@niszet0; 0/0): knitr::include_graphics()、こんな挙動するんか…。ビビるわ。 ↪

xaringan

Saskia Freytag (@trashystats; 18/7): I will be presenting my #rstats tip at the next @RLadiesMelb
meeting. Do you have an #rstats tip or want to try something new (I learned xaringan in the process) PLEASE present at our next meeting!
Here are my slides:
https://t.co/ZnldXhZOps https://t.co/ufeMMFhrzm ↪

Emi Tanaka 🌾 (@statsgen; 3/0): @trashystats Ah xaringan isn’t supported on Rpubs! You’ll have to go netlify (rename your file index.html) or GitHub pages ↪

yihui.name

John Blischak (@jdblischak; 3/0): @d_olivaw Has visto el paquete tinytex? La instalación es mucho más pequeña

https://t.co/S6bAacImh6 ↪

Silectis (@Silectis; 2/0): @xieyihui, from @RStudio, responds to @JoelGrus’ talk at #JupyterCon. He frames the usefulness of notebooks in #DataScience v #Engineering, R-v-Python
Magpie uses #ApacheSpark and includes Scala (which has a stronger engineering basis than R and Python…) https://t.co/7rqKGiiqND ↪

Fernando Flores (@ds_floresf; 0/1): Long worthy read: The First Notebook War by @xieyihui
https://t.co/t1I48SVEyO
#rstats #jupyter #rmarkdown ↪