blogdown
Sam Abbott (@seabbs; 5/1): New blogdown post exploring (and estimating) #Tuberculosis case fatality ratios using getTBinR (https://t.co/7HHtatqp4C ) and #rstats. Great experience using patchwork by @thomasp85!
Post: https://t.co/BwDO1D3Alf ↪
Auggy (@mmmpork; 4/0): @apreshill @kierisi @dataandme Sweet, I totally just gave up on blogdown after a few hours of struggling with the whole paths/images/data files. I might give it another shot down the road at some point :) ↪
Said Jiménez (@said_meid; 3/4): En mi nuevo post sobre fundamentos de inferencia estadística, ilustro con R y el #tidyverse algunos fundamentos de inferencia estadística, así como implicaciones del teorema del límite central y las distribuciones muestrales https://t.co/N55sEZ29cI #rstats #psychology #blogdown ↪
EcoDataScience (@ecodatasci; 3/0): Tomorrow we’re going to hear all about #rstudioconf from some of our members! Including tibbletime, blogdown, machine learning, shiny, tidyeval and more! 11:30 am at the @UCSBLibrary collaboratory. Sign up here: https://t.co/MYzPE6o5hI ↪
Alison Hill (@apreshill; 3/0): @mmmpork @kierisi @dataandme Just saw your issue on Github, did you see this link? https://t.co/e7KdYv2FAU This may also be helpful: https://t.co/Zmj3DZu1KM (or ya know email me your repo link- are you doing a personal site or editing rladies-PDX?) https://t.co/RMUEYCRUlK ↪
thinkR (@thinkR_fr; 1/1): #RStats — R Blogdown Setup in GitHub (2) : https://t.co/FrzAWearxe https://t.co/qmFY4pD8JX ↪
Auggy (@mmmpork; 1/0): @apreshill @kierisi @dataandme @xieyihui Netlify isn’t transparent. They do their own CI magic behind the scenes. Travis is just CI, not host. Yiui had Travis run R + blogdown to knit/generate site https://t.co/AdbhNP1iat can do that locally + commit your changes, then push to Github. Travis works great for that. ↪
Stas Kolenikov (@StatStas; 0/0): @JennyBryan @github @kwbroman Uhm… let’s say I’d be so happy if anybody would beat me to documenting my code :-D. You seem to be describing the history of the #blogdown book, it seems @xieyihui ↪
Alison Hill (@apreshill; 0/0): @mmmpork @kierisi @dataandme you didn’t want to push to netlify? @xieyihui built a minimal blogdown site with travis: https://t.co/3g82SX4dsE, although he recommends netlify > travis ↪
Alison Hill (@apreshill; 0/0): @mmmpork @kierisi @dataandme long winded reply on github: https://t.co/2TTBvr0mfE
The paths may be wrong too, but also don’t knit! Serve site only with blogdown (the output formats are different from knitting vs serving: https://t.co/iqMMGNm946) ↪
bookdown
JD Long (@CMastication; 47/6): I figured out how to make #rstats Bookdown slip an existing PDF document into my PDF render. Thank you @xieyihui for a fancy tool! Yeah, I’ll end up wrapping some R code around the includepdf syntax later. https://t.co/AB4MYCITYB ↪
Josh Hermsmeyer (@friscojosh; 3/0): @andref1989 @Stat_Ron @SeanFromSeabeck @guga31bb https://t.co/mb4HXZgxhW ↪
Alison Hill (@apreshill; 3/0): @mmmpork @kierisi @dataandme Just saw your issue on Github, did you see this link? https://t.co/e7KdYv2FAU This may also be helpful: https://t.co/Zmj3DZu1KM (or ya know email me your repo link- are you doing a personal site or editing rladies-PDX?) https://t.co/RMUEYCRUlK ↪
Alison Hill (@apreshill; 0/0): @mmmpork @kierisi @dataandme long winded reply on github: https://t.co/2TTBvr0mfE
The paths may be wrong too, but also don’t knit! Serve site only with blogdown (the output formats are different from knitting vs serving: https://t.co/iqMMGNm946) ↪
knitr
Tim Trice (@timtrice; 0/0): For you #rstats knitr spin lovers out there, apparently as of v1.19 you can put SQL straight into your r script and spin the results to markdown. Can use any engine. See https://t.co/eOhlXcd1zj https://t.co/zDr41Q7UUe ↪
yihui.name
Paolo (@onertipaday; 1/0): I’m last to the party but I’d like to share one of the best and touching post I’v ever read (being a master of procrastination myself I can really understand the author): https://t.co/dwy5kZwO5J Thanks @xieyihui ! ↪