This is a fantastic blog post and ⁦@xieyihui⁩ provides a lot of wisdom, including the rarely mentioned fact that data analysis != software engineering. I have many other thoughts, but as Yihui recommends, I’m taking them off twitter 🚀 https://t.co/xwabMeTGf5

2018/09/12

blogdown

Andrew Heiss, PhD (@andrewheiss; 2/1): About 20% of the times I compile my blogdown #rstats site, the compiled main index.Rmd is empty and doesn’t use any of the Hugo templates (but all other pages are fine). I fix it by recompiling the site until it works, but it’s the strangest thing ever and idk why it happens https://t.co/Sfcnwkevvm ↪

Li Wang (@Schweik1987; 2/1): blogdown is awesome! Get my website (https://t.co/2gfPLQaKCD) up and running in half an hour! Thanks @xieyihui. ↪

Hernando Cortina (@cortinah; 0/0): @thomasp85 this is great. Thank you. A few days ago I was wondering why the size of an animation in a blogdown post looked different. This shld address that since blogdown is based on rmarkdown. ↪

bookdown

Romain Lesur (@RLesur; 7/2): In the train, going to the @uRos2018 #rstats conference in The Hague (NL). Friday, my talk will be on styling #rmarkdown and #bookdown pdf without LaTeX (thx CSS Paged Media). Meanwhile I am working on a personal side project. https://t.co/vQtVHpseQr ↪

C_J_Tinant 🌊🎲🥋 (@charlesjtinant; 1/0): @david_a_knowles @invertenerd I think pandoc — mathml is the the better solution.
And, I think your right on knitr calling pandoc…

I’m learning more about this, but still have a lot of blind spots & Yihui Xie’s recent book is a pretty nice guide: https://t.co/A3HQAramOf ↪

KouYuanYuan (@KouYuanYuan; 0/0): bookdown-ucas: an R bookdown template for theses of the University of the Chinese Academy of Sciences https://t.co/EWQZRTyHsW https://t.co/oSLLSRrXps ↪

C_J_Tinant 🌊🎲🥋 (@charlesjtinant; 0/0): @david_a_knowles @invertenerd this is a better link: https://t.co/A3HQAramOf ↪

knitr

Thomas Lin Pedersen (@thomasp85; 23/5): You can know control arguments to animate() in knitr chunks, e.g. {r, gganimate=list(nframes=200)}, as well as setting defaults with options(), e.g. options(gganimate.nframes=200) ↪

Thomas Lin Pedersen (@thomasp85; 14/1): gganimate will also use the native dev, interval, fig.width, and fig.height chunk options when called in a knitr chunk ↪

C_J_Tinant 🌊🎲🥋 (@charlesjtinant; 1/0): @david_a_knowles @invertenerd I think pandoc — mathml is the the better solution.
And, I think your right on knitr calling pandoc…

I’m learning more about this, but still have a lot of blind spots & Yihui Xie’s recent book is a pretty nice guide: https://t.co/A3HQAramOf ↪

Laura Pérez Vera (@lpvera22; 0/0): @jamie_lendrum @rstatstweet Thank you so much.. I finally did it.. I made it with knitr ::kable..but I’m going to google hyphens.. Thanks 💚👍😊 ↪

BountyBot (@BountyBot; 0/0): R Markdown conditionals for knitting HTML vs PDF https://t.co/dkbhd3rzrT Amt:500 #R #RMarkdown #Knitr #Pandoc ↪

Evgeny Pogrebnyak (@PogrebnyakE; 0/0): Notebook wars from the aothor of knitr https://t.co/nhHF6bY8f3 ↪

xaringan

Gina Reynolds (@EvaMaeRey; 0/0): @grrrck @PStrafo @dataandme @xieyihui uses this style in Xaringan Rmd tutorial. Some affirmation for + aes() style. https://t.co/VkuNPygcYp ↪

yihui.name

Roger D. Peng (@rdpeng; 138/41): This is a fantastic blog post and ⁦@xieyihui⁩ provides a lot of wisdom, including the rarely mentioned fact that data analysis != software engineering. I have many other thoughts, but as Yihui recommends, I’m taking them off twitter 🚀 https://t.co/xwabMeTGf5 ↪

Hilary Parker (@hspter; 41/8): Wow this is AWESOME. Can’t wait for the talk @xieyihui! https://t.co/d2ih4LfujW ↪

Nicholas Tierney (@nj_tierney; 31/10): Check out @xieyihui ’s “The First Notebook War”: https://t.co/LTDEzpBWbf

“If you do both software engineering and data analysis heavily in a project, consider using an IDE to develop an R package, instead of stuffing your poor notebooks with thousands of lines of code”
#rstats ↪

Ben (@Torvaney; 9/0): I think notebooks (RMarkdown) is one of the areas in which R is better than Python for data science. This blog by @xieyihui is a really nice reflection on the different pros/cons (and much more!) you get with notebooks and R https://t.co/jEfZ1pBO6A ↪

職業、イケメン。テラモナギ (@teramonagi; 5/2): 良い視点
The First Notebook War https://t.co/sp7UE4mPMi ↪

*トデス子’* (@todesking; 3/0): https://t.co/KKnMwNRe3B ↪

Yohan J. Rodríguez (@hasdid; 1/1): #DataScience | The First Notebook War https://t.co/wJxsrLvvxd ↪

smart-R (@smartR101; 1/1): “I don’t like R Markdown” Use R notebooks https://t.co/Tp3tT0L9OD: You can check out any time you like, but you can ALWAYS leave!’ It is R Markdown++ by #rstudio The First Notebook War https://t.co/xasicI7EAG by @xieyihui https://t.co/S8lyo68dKd ↪

Volatility Quant (@VolatilityQ; 1/1): The two cultures: the R vs Python culture, or data analysis vs software engineering culture ⁦@xieyihui⁩

#DataAnalysis #SoftwareEngineering #Python #R https://t.co/dpNfwdQ1q1 ↪

biteclub (@anarinsk; 1/0): There seems to be a strong atmosphere of software engineering in the Python world: in the beginning was the custom class (with methods). For R users, in the beginning was the data.

파이썬과 R의 차이에 대해서 이보다 간명하게 묘사할 수는 없다. https://t.co/a8cJ2GFqR7 ↪

Troy James Palanca (@tjpalanca; 1/0): Here’s a really good take on the notebooks debate from the R side of things. Rmd documents, while technically notebooks, are a lot closer to raw source code than full blown notebooks, which is why I like them a lot more. https://t.co/Wn4rD2jXor ↪

Jose Manuel Vera (@verajosemanuel; 0/2): The first notebook war #rstats #Python Pure gold from Yihui https://t.co/5OfAnzvBwj ↪

Russ Hyde (@haematobot; 0/1): https://t.co/KVw7004Fnr wonderful stuff from @xieyihui ; to me state seems to be a pretty small problem in #rstats generally. ↪

Yuta Okamoto (@okapies; 0/0): #jupytercon で「俺は Notebook がキライだ」という講演が挙行されたらしく、そのまとめ。 https://t.co/ua1J1sifXH ↪

Gordon Shotwell (@gshotwell; 0/0): A great read about many things, also an excellent example of productive disagreement. https://t.co/GboJIiTJXe ↪

yishkw (@hereticreader; 0/0): The First Notebook War - Yihui Xie - 谢益辉 https://t.co/wDpES3K97s ↪

Alex Williamson (@alexilliamson; 0/0): Very thoughtful take on #notebookwars https://t.co/5IMEgyppvT ↪

Rory Quinn (@RoryJosephQuinn; 0/0): Thoughts on notebooks, IDE and R Markdown from @xieyihui #R #Python #Jupyter https://t.co/C9hG7oaWkX ↪

Adam Lauretig (@lauretig; 0/0): This https://t.co/bOSBM9oyEn by @xieyihui, is a nice discussion of issues raised w/r/t “notebooks” for programming, and ways that Rmarkdown differs from Jupyter. ↪

Fabian Schreiber (@Fabschreiber; 0/0): Insightful post on #Jupyter notebooks, IDEs, and R: https://t.co/DVaqSmGjMK ↪

Conor Dewey (@conordewey3; 0/0): So Joel Grus doesn’t like Jupyter notebooks. Here are some of my thoughts. https://t.co/G4DQb0DukQ ↪

David W. Body (@david_body; 0/0): The First Notebook War. Excellent analysis and reaction by @xieyihui to the recent notebook controversy. And some interesting observations about R, Python, and Excel. https://t.co/xrN83xvqQx ↪

Evgeny Pogrebnyak (@PogrebnyakE; 0/0): Notebook wars from the aothor of knitr https://t.co/nhHF6bY8f3 ↪

Sompob Saralamba (@slphyx; 0/0): https://t.co/fuQUlSLqWW ↪

Intellectual-Yet-Idiot [臭老九] (@huyunwei; 0/0): I know that @xieyihui can write long post. Give him time he could write shorter. Maybe in Chinese 文言文 👍🗒https://t.co/sgFhYcfj5g ↪