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You are here: Home / R / 2018 rstudio::conf / Slide Decks and Packages in Tweets from 2018 rstudio::conf

Slide Decks and Packages in Tweets from 2018 rstudio::conf

February 3, 2018 by cmdlinetips

RStudio Conference
RStudio Conference
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/yblrm38QYQ

nice 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

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