2018 RStudio conference, one of the interesting conferences for anyone interested in R and RStudio just ended over the weekend. In case you missed it, twitter was abuzz with interesting bytes from the conference, including cool new R package that was presented and slides of the talks. Here is a compilation of tweets containing slides, packages and any resource hinting tweets from the 2018 RStudio Conference at San Diego,CA.
If you have vectors of the same length, lock them together into a data frame. Or, make list columns. @JennyBryan #rstudioconf pic.twitter.com/9QplKLWJJw
— Amelia McNamara (@AmeliaMN) February 3, 2018
#rstudioconf pic.twitter.com/zSFNHhnhU9
— Brandon Sherman (@shermstats) February 3, 2018
The 3 big ideas of tidyeval by @hadleywickham #rstudioconf pic.twitter.com/z449mI1LoF
— Tony Fujs (@tonyfujs) February 3, 2018
Slides for my #rstudioconf #rstats talk tomorrow "Augmenting data exploration with interactive graphics"https://t.co/ES3ijG0GnV
— Carson Sievert (@cpsievert) February 1, 2018
.@juliasilge shares some very relatable quotes about regex and linear algebra #rstudioconf pic.twitter.com/BKTFgKfL6e
— Emily Robinson (@robinson_es) February 3, 2018
Slides of my #rstudioconf talk on blogdown: https://t.co/BNimSHHHht Sorry, I have to confess that I lied (apparently) when I said I could type insanely fast with HHKB. The HHKB was not even connected to my laptop… I added the truth to the slides. Enjoy!
— Yihui Xie (@xieyihui) February 2, 2018
Useful tidyverse functions u may not know: forcats::rct_relevel for reordering factors, na_if for dealing with missing data that's not NA, @robinson_es tells #rstudioconf . More in her slides: https://t.co/0uZVhXatSB #rstats
— Sharon Machlis (@sharon000) February 2, 2018
infer: a package for tidy statistical inference – by Andrew Bray
slides: https://t.co/yblrm38QYQnice framework#rstudioconf pic.twitter.com/WOjT5CSSyu
— Daniel McNichol (@dnlmc) February 2, 2018
New small post I wrote while attending #rstudioconf: "A Good Day to Use a While Loop" https://t.co/5TC5yRtqIN #rstats
— Sean Kross (@seankross) February 2, 2018
tidygraph + ggraph by @thomasp85 are truly magic ? #rstudioconf
meta-note: ? teach me how you incorporated animation in html slides!
? slides: https://t.co/OdUXymwqif pic.twitter.com/Rf5pHrmHK2— Lucy ? (@LucyStats) February 2, 2018
What type of work do you want to do in the #tidyverse?
1) spatial data + mapping – sf ?, @edzerpebesma
2) time series – tibbletime ?, @dvaughan32
3) statistical inference – infer?, Andrew Bray
4) network graphs – tidygraph?, @thomasp85 #rstudioconf #rstats— Angela Li (@CivicAngela) February 2, 2018
Interested in network analysis in R? Check out @thomasp85 slides from #rstudioconf at https://t.co/QEGtXg1Ll4 and his #rstats packages tidygraph and ggraph #dataviz pic.twitter.com/Ev5f5UMRCG
— Sharon Machlis (@sharon000) February 2, 2018
I am a user of @thomasp85’s package for network visualization and it is ? #rstudioconf https://t.co/HFYRxyP3uE pic.twitter.com/tlByJAPsQE
— Julia Silge (@juliasilge) February 2, 2018
Thanks to everyone who joined my talk re: new features in RStudio v1.1! Slides are up at https://t.co/AJnaObTGL5. #rstudioconf
— Kevin Ushey (@kevin_ushey) February 2, 2018
Using tidy data principles (dplyr verbs! ?) with network data by @thomasp85 at #rstudioconf https://t.co/mEfNjs6LEx pic.twitter.com/6C6EMGrxlO
— Julia Silge (@juliasilge) February 2, 2018
thank you all who attended my #rstudioconf shiny perf talk! My slides: https://t.co/YwhLQ20mBl (repo: https://t.co/E0GJaRj09r)
— Alan (@alandipert) February 2, 2018
Wowwwww, this #rstudioconf talk by Andrew Bray on the infer package makes me reconsider how I implement hypothesis testing. https://t.co/mX3JRFotv9
— Julia Silge (@juliasilge) February 2, 2018
.@winston_chang introduces the Shinytest package: snapshot-based automated testing for Shiny! https://t.co/yQsOzcKCli #rstudioconf pic.twitter.com/srhpTgoc7w
— David Robinson (@drob) February 2, 2018
I really like the methods of graphical inference from @visnut: permute data and try to find the original. Check out her nullabor package for more! https://t.co/uGj7vhFZVp #rstudioconf pic.twitter.com/wdYqjBHeTU
— David Robinson (@drob) February 2, 2018
Things to think about when visualizing data, Prof Di Cook @visnut advises RStudio Conference keynote#rstudioconf #dataviz
See all slides at https://t.co/8MiLjP5OiQ pic.twitter.com/LwAG39AWDZ— Sharon Machlis (@sharon000) February 2, 2018
Just learned about @nj_tierney's #nanair R package for dealing with and visualizing missing data https://t.co/gpKhfnyyoJ #rstudioconf
— Sheila Saia (@sheilasaia) February 2, 2018
From designing reproducible R workflows to improving research impact, a special thanks to @JennyBryan and the "What they forgot to teach you about R" workshop! https://t.co/ka17Dcucct #rstudioconf
— Joel Herndon (@jherndon01) February 2, 2018
Learning about @wmlandau 's drake #rstats ? SUPER helpful for workflow management ? #rstudioconf @krlmlr's ? slides: https://t.co/rtncMS26l7 pic.twitter.com/wTEUqqY0wc
— Lucy ? (@LucyStats) February 1, 2018
How appropriate since we're near the sea: @hadleywickham introduces the ? lobstr package visualizing syntax trees https://t.co/IR0Vz1EXJl #rstudioconf #rstats pic.twitter.com/4iHzACK6P7
— The R-Podcast (Eric) (@theRcast) February 1, 2018
Updated caret documentation – very comprehensive https://t.co/OKSoLHOrdK #rstudioconf #rstats
— James Blair (@Blair09M) February 1, 2018
For anyone interested, here is a link to my #rstudioconf slides on the zeallot ? and unpacking assignment in R. https://t.co/FmWGgaL1vS
— Nathan Teetor (@ntweetor) February 3, 2018
Dealing with lists, lists in a data frame, and how to simplify them: slides from my #rstudioconf talk (link to #rstats code in description): https://t.co/w4XDpwkCIg pic.twitter.com/WYcpFksgYo
— Jenny Bryan (@JennyBryan) February 3, 2018
The tfruns package strikes me as instrumental to working with TensorFlow with #rstats. You’re going to be experimenting a lot and will need to reflect on what’s working (or not) based on hard data. #rstudioconf https://t.co/A2eHcskW4y
— Jenny Bryan (@JennyBryan) February 3, 2018
Material from my #rstudioconf talk about databases with R is now available here: https://t.co/6XRgAouaZT pic.twitter.com/CbixOaShaV
— Edgar Ruiz (@theotheredgar) February 3, 2018
Slides (just a few) from my #rstudioconf talk and demo materials (that made up most of the talk) are at https://t.co/dRf5sziMs9 (and I can't wait to watch the videos of all the talks I missed during it)
— Mine CetinkayaRundel (@minebocek) February 2, 2018
Slides ? from my talk, "contributing to the tidyverse" at #rstudioconf https://t.co/hl7mmc1RQv #rstats #tidyverse pic.twitter.com/jSs6fTPD8v
— Mara Averick (@dataandme) February 5, 2018