blogdown

Mara Averick (@dataandme; 49/11): 📽 more helpful than ever!
“Up and Running w/ blogdown” 👩‍💻 @apreshill
https://t.co/aaliQROFiz #rstats #blogdown https://t.co/9SNuXNrJtN ↪

tj mahr 🍕🍍 (@tjmahr; 2/0): I don’t use blogdown but I would I were starting again https://t.co/f3kUN1eazR ↪

Emerson Del Ponte (@edelponte; 0/0): @UnderGardener1 @SydneyEverhart I strongly suggest the #blogdown package https://t.co/urjDpaoswW that uses #hugo.

There are several themes organized by categories https://t.co/mPx6UfEd1l

If the focus is on the content, RMardkown website is best. I use it for my research compendia https://t.co/vr4JWD77v9 ↪

Thibaut Jombart (@TeebzR; 0/0): To #rmarkdown #blogdown experts: any tips on tracking origins of discrepancies between blogdown::serve_site() (all fine) and blogdown::build_site() (several articles missing) ? ↪

David Meza (@davidmeza1; 0/0): @dataandme @RLadiesGlobal @apreshill Does anybody get this screen when opening blogdown/bookdown in safari? I also get it when I open the url on my Mac, any browser https://t.co/2RK1wWzKwt ↪

Auggy (@mmmpork; 0/0): Finally got a couple of experiments to run. Dirt simple but ya gotta start somewhere. Publishing #Rstats Blogdown static Hugo sites via @wercker + @travisci https://t.co/ywgsxcA5IE https://t.co/VsaaHOdRIy ↪

bookdown

Jakub Nowosad (@jakub_nowosad; 50/15): Here is our second chapter of Geocomputation with #rstats: https://t.co/UsHZN7oBTs. It focuses on non-geographic operations on vector and raster data and have got a lot of exercises. Greetings from #AGU17 #geocompr https://t.co/MceKozEF2H ↪

Fabio F. Santos (@fabio_f_santos; 0/0): Applied Statistics with R: Data Analysis and Visualization file://localhost/Users/santosff/Dropbox/0_UCBA_UC/My%20UCBA%20Classes/0_My%20Classes/AIS%203091/1_bookdown-start/docs/index.html ↪

David Meza (@davidmeza1; 0/0): @dataandme @RLadiesGlobal @apreshill Does anybody get this screen when opening blogdown/bookdown in safari? I also get it when I open the url on my Mac, any browser https://t.co/2RK1wWzKwt ↪

knitr

hannah cushman 🎄 (@hancush; 3/0): this intro to literate analysis in r / knitr (and frantic text exchanges with @mikedecr) https://t.co/Xl1y4SpeZe ↪

Mert Nuhoglu (@mertnuhoglu; 3/0): jupyter alt: R üzerinde rmarkdown, knitr, reprex ile literate programlama. çok verimli oluyor problemi adım adım yazarak çözmek için. ↪

おかべ (@okb_mm9; 1/0): @hurdlersi 表だけはfor文でうまくいかなかったので，ちょっと工夫する必要がありますが，RMarkdownの中でknitrというライブラリのkableという関数で包んであげて，Word形式でMarkdownを出力することでいけます． ↪

John Rauser (@jrauser; 0/0): @xieyihui That’s after having aggressively used functions to avoid repeated code. Either way, thank you for your work on knitr, it’s a huge productivity boost. ↪

John Rauser (@jrauser; 0/0): @xieyihui Does it make any sense to extend knitr to have features of a templating system akin to Jinja2? I have recently condensed a 2k line Rnw report down by 50% using Jinja, and could do more. ↪

yihui.name

thinkR (@thinkR_fr; 2/1): #RStats — On the advantage of saveRDS() over save() https://t.co/BBFTDnQdb4 ↪

Andrew Burchill (@AndrewBurchill; 0/0): @Rbloggers What about @xieyihui and formatR? https://t.co/TlMidQIAWe
Is this new package better or something? ↪