[
  {
    "path": "ReadMe.md",
    "content": "# Links to slides from rstudio::conf 2019\n\nLinks to slides to talks at the 2019\n[rstudio::conf](https://www.rstudio.com/conference/)\n\nPull requests welcome! Or add an issue or email\n[Karl Broman](http://kbroman.org).\n\nVideos of the talks are at <https://resources.rstudio.com/rstudio-conf-2019>.\n\n---\n\n## Workshops material\n\nRStudio blog post with links to all workshops' materials: <https://blog.rstudio.com/2019/02/06/rstudio-conf-2019-workshops/>\n\n- [Advanced R Markdown](https://arm.rbind.io/)\n- [Applied Machine Learning](https://github.com/topepo/rstudio-conf-2019)\n- [Big Data with R](https://github.com/rstudio/bigdataclass)\n- [Data Science in the Tidyverse](https://github.com/AmeliaMN/data-science-in-tidyverse.git)\n- Deep learning with R (Tensorflow) [day 1](https://github.com/Scavetta/conf_tensorflow_training_day1) and [day 2](https://github.com/rstudio/conf_tensorflow_training_day2)\n- [Introduction to Shiny and R Markdown workshop](https://github.com/dtkaplan/shinymark)\n- Shiny in Production\n  - [Workshop slides](https://github.com/youcc/RStudioConf2019Slides/blob/master/Shiny-in-Production.pdf)\n  - [Supplement book](https://github.com/kellobri/shiny-prod-book)\n  - [GitHub material](https://github.com/kellobri/spc-app)\n- [Rstudio Pro Products Admin Training](https://colorado.rstudio.com/rsc/pro-admin-training/overview/Overview.html)\n- [Train-the-trainer workshop](https://github.com/rstudio-education/teaching-workshop-2019-01)\n- [What they forgot to teach you about R](https://jennybc.github.io/wtf-2019-rsc/)\n\n---\n\n ## Wednesday 2019-01-16 ePosters\n\n- Colin Fay, [@_ColinFay](https://twitter.com/_colinfay), [Building big Shiny Apps](https://thinkr-open.github.io/rstudioconf2019/), [blogpost](https://rtask.thinkr.fr/blog/building-big-shiny-apps-a-workflow-1/)\n\n - Alex Gold, [@alexkgold](https://twitter.com/alexkgold),\n[Upgrading to R: Tips and mistakes you don't have to make](https://akgold.github.io/rsconf2019/);\nsee also [blog post](https://alexkgold.space/2019/01/19/upgrading-to-r-at-rstudio-conf-2019/) for slide-by-slide extended narrative\n\n - Leonard Kiefer, [@lenkiefer](https://twitter.com/lenkiefer),\n[Using R to Analyze Economic and Housing Market Trends](http://lenkiefer.com/2019/01/15/rstudioconf-poster/)\n\n - Ted Laderas, [@tladeras](https://twitter.com/tladeras), and\nJessica Minnier, [@datapointier](https://twitter.com/datapointier),\n[Democratizing data science using Shiny and LearnR](https://docs.google.com/presentation/d/1nCmo6EcrhyZZiQrXQkwYRCyimXbvNG20A84qlQ0YvTw/mobilepresent?slide=id.g36d32efe66_2_77)\n\n - Nick Strayer, [@nicholasstrayer](https://twitter.com/nicholasstrayer),\n[Multimorbidity explorer: A shiny app for exploring EHR and biobank data](http://nickstrayer.me/rstudioconf19_me-poster/)\n\n- Nick Tierney, [@njtierney](https://twitter.com/nj_tierney), [A Missing Data Carol: Ghosts of Missing Data Past, Present, and Future](https://talks.updog.co/2019-01-16-missing-data-past-present-future.pdf)\n\n - Jeremy Wildfire, [@jwildfire](https://twitter.com/jwildfire),\n[Modernizing the clinical trial analysis pipeline with R and JavaScript](https://github.com/RhoInc/RStudioConf2019-ePoster/)\n\n - Hiroaki Yutani, [@yutannihilat_en](https://twitter.com/yutannihilat_en),\n[Introduction to gghighlight](https://github.com/yutannihilation/rstudioconf2019)\n\n---\n\n## Thursday 2019-01-17\n\n### Welcome\n\n- Welcome to rstudio::conf [![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/welcome-to-rstudio-conf-2019)\n\n- [Tareef Kawaf](https://resources.rstudio.com/authors/tareef-kawaf), [@tareefk](https://resources.rstudio.com/authors/tareef-kawaf), Welcome and RStudio Vision\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/opening-keynote-tareef-kawaf)\n\n### 9:30 Keynote\n\n- [Joe Cheng](https://github.com/jcheng5), [@jcheng](https://twitter.com/jcheng),\n  [Shiny in production](https://speakerdeck.com/jcheng5/shiny-in-production) ([related book](https://bit.ly/shiny-prod-book) by\n  [Kelly O'Briant](https://kellobri.github.io/))\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/shiny-in-production-principles-practices-and-tools-joe-cheng)\n\n---\n\n### 11:00 Session 1, Track 1: Tidyverse\n\n- [Karthik Ram](https://bids.berkeley.edu/people/karthik-ram), [@_inundata](https://mobile.twitter.com/_inundata), rOpenSci,\n[A guide to modern reproducible data science with R](https://github.com/karthik/rstudio2019)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/a-guide-to-modern-reproducible-data-science-with-r)\n\n- Jeffrey Arnold, [@jrnold](https://twitter.com/jrnold), Insight,\nSolving R for data science ([solutions to R4DS exercises](https://github.com/jrnold/r4ds-exercise-solutions))\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/solving-r-for-data-science)\n\n- [Kara Woo](https://karawoo.com/), [@kara_woo](https://twitter.com/kara_woo), Sage Bionetworks,\n[Box plots: A case study in debugging and perseverance](https://github.com/karawoo/2019-01-17-rstudioconf) ([the PR of interest](https://github.com/tidyverse/ggplot2/pull/2196))\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/box-plots-a-case-study-in-debugging-and-perseverance)\n\n- [Amelia McNamara](https://amelia.mn), [@AmeliaMN](https://twitter.com/AmeliaMN), University of St. Thomas,\n[Working with categorical data in R without losing your mind](http://www.amelia.mn/WranglingCats.pdf) ([related paper](http://bitly.com/WranglingCats) from the [DSS collection](https://peerj.com/collections/50-practicaldatascistats/))\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/working-with-categorical-data-in-r-without-losing-your-mind)\n\n### 11:00 Session 1, Track 2: Interop\n\n- Wes McKinney, RStudio,\nUrsa Labs and Apache Arrow in 2019\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/ursa-labs-and-apache-arrow-in-2019)\n\n- Jonathan McPherson, [@jmcphers](https://twitter.com/jmcphers), RStudio, New language features in RStudio 1.2, ([example code and data](https://github.com/jmcphers/rstudio-1.2-features))\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/new-language-features-in-rstudio)\n\n- Edgar Ruiz, [@theotheredgar](https://twitter.com/theotheredgar), RStudio,\n[Databases using R: The latest](https://github.com/edgararuiz/databases-w-r)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/databases-using-r-the-latest)\n\n- [Kelly O’Briant](https://kellobri.github.io/), [@kellrstats](https://twitter.com/kellrstats), RStudio,\nConfiguration management tools for the R admin\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/configuration-management-tools-for-the-r-admin)\n\n\n### 11:00 Session 1, Track 3: Production\n\n- Heather & Jacqueline Nolis, [@heatherklus](https://twitter.com/heatherklus) and [@skyetetra](https://twitter.com/skyetetra), Nolis, LLC,\n[Push straight to prod: API development with R and Tensorflow at T-Mobile](https://nolisllc.com/assets/presentations/r-tensorflow-api.pdf)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/push-straight-to-prod-api-development-with-r-and-tensorflow-at-tmobile)\n\n- Mark Sellors, [@sellorm](https://twitter.com/sellorm), Mango Solutions,\n[R in production](https://rinprod.com)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/r-in-production)\n\n- Jeff Allen, RStudio,\n[RStudio Connect: Past, present, and future](http://rstd.io/rsc170)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/rstudio-connect-past-present-and-future)\n\n- [Sean Lopp](https://twitter.com/lopp_sean), RStudio,\n[Announcing RStudio Package Manager](https://github.com/slopp/rspm-rstudioconf)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/announcing-rstudio-package-manager-2)\n\n---\n\n### 2:00 Session 2, Track 1: Teaching\n\n- Jesse Mostipak, [@kierisi](https://twitter.com/kierisi), Teaching Trust,\nR4DS online learning community: Improvements to self-taught data science & the critical need for diversity, equity, and inclusion in data science education\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/r4ds-online-learning-community-improvements-to-self-taught-data-science-amp-the-critical-need-for-diversity-equity-and-inclusion-in-data-science-education)\n\n- Irene Steves, [@i_steves](https://twitter.com/i_steves),\n[Teaching data science with puzzles](https://github.com/isteves/ds-puzzles)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/teaching-data-science-with-puzzles)\n\n- Kelly Nicole Bodwin, [@kellybodwin](https://twitter.com/kellybodwin), California Polytechnic State University,\n[Introductory statistics with R: Easing the transition to software for beginner students](http://calpoly.edu/~kbodwin/RStudio_2019.html) ([github repo](http://github.com/kbodwin/Introductory-Statistics-Labs))\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/introductory-statistics-with-r-easing-the-transition-to-software-for-beginner-students)\n\n- Tracy Teal, [@tracykteal](https://twitter.com/tracykteal), The Carpentries,\n[Teaching R using inclusive pedagogy: Practices and lessons learned from over 700 Carpentries workshops](https://docs.google.com/presentation/d/1yZTOcm0hO3sq8nz24luNoxL2Tk4IWfwoeYSXa09-zB8/edit#slide=id.g4d9835a148_0_218)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/teaching-r-using-inclusive-pedagogy-practices-and-lessons-learned-from-over-700-carpentries-workshops)\n\n\n### 2:00 Session 2, Track 2: Distributed\n\n- Darby Hadley, RStudio,\nRStudio Job Launcher: Changing where we run R stuff\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/rstudio-job-launcher-changing-where-we-run-r-stuff)\n\n- Javier Luraschi, [@javierluraschi](https://twitter.com/javierluraschi), RStudio,\n[Scaling R with Spark](http://rpubs.com/jluraschi/scaling-r-with-spark-rstudio-conf)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/scaling-r-with-spark)\n\n- Kevin Kuo, RStudio,\nIntroducing mlflow\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/introducing-mlflow)\n\n- James Blair, [@blair09m](https://twitter.com/blair09m), RStudio,\n[Democratizing R with Plumber APIs](https://bit.ly/2TXfFR5)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/democratizing-r-with-plumber-apis)\n\n## 2:00 Session 2, Track 3: Industry\n\n- [Brooke Watson](http://brooke.science/), [@brookLYNevery1](https://twitter.com/brookLYNever1y), ACLU,\nR at the ACLU: Joining tables to reunite families\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/r-at-the-aclu-joining-tables-to-to-reunite-families)\n\n- [Emily Robinson](https://hookedondata.org/), [@robinson_es](https://twitter.com/robinson_es), Data Scientist at DataCamp,\n[Building an A/B testing analytics system with R and Shiny](http://bit.ly/rstudio19)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/building-an-ab-testing-analytics-system-with-r-and-shiny)\n\n- [Nic Crane](https://thisisnic.github.io/), [@nic_crane](https://twitter.com/nic_crane), Elucidata,\n[The future’s Shiny: Pioneering genomic medicine in R](https://github.com/thisisnic/rstudio-conf-2019)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/the-futures-shiny-pioneering-genomic-medicine-in-r)\n\n- Joe Rickert, [@rstudiojoe](https://twitter.com/rstudiojoe), RStudio,\nR Consortium initiatives in medicine\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/r-consortium-initiatives-in-medicine)\n\n\n---\n\n\n\n### 4:00 Session 3, Track 1: Tidyverse\n\n- [Earo Wang](https://earo.me/), [@earowang](https://twitter.com/earowang), Monash University,\n[Melt the clock: Tidy time series analysis](https://slides.earo.me/rstudioconf19)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/melt-the-clock-tidy-time-series-analysis)\n\n\n- Tyler Morgan-Wall, [@tylermorganwall](https://twitter.com/tylermorganwall), Institute for Defense Analyses,\n3D mapping, plotting, and printing with rayshader\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/3d-mapping-plotting-and-printing-with-rayshader)\n\n- Edzer Pebesma, [@edzerpebesma](https://twitter.com/edzerpebesma) & Michael Sumner, Etienne Racine, Institute for Geoinformatics, University of Muenster, Germany,\n[Spatial data science in the Tidyverse](https://edzer.github.io/rstudio_conf/2019/index.html)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/spatial-data-science-in-the-tidyverse)\n\n- [Thomas Lin Pedersen](https://www.data-imaginist.com/), [@thomasp85](https://twitter.com/thomasp85), RStudio,\n[gganimate live cookbook](https://www.data-imaginist.com/slides/rstudioconf2019/assets/player/keynotedhtmlplayer#0)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/gganimate-live-cookbook)\n\n### 4:00 Session 3, Track 2: Modeling\n\n- Alex Hayes, [@alexpghayes](https://twitter.com/alexpghayes), University of Wisconsin, Madison,\n[Solving the model representation problem with broom](https://buff.ly/2FGKFkj)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/solving-the-model-representation-problem-with-broom)\n\n- Sigrid Keydana, [@zkajdan](https://twitter.com/zkajdan), RStudio,\n[Why TensorFlow eager execution matters](https://github.com/skeydan/rstudio_conf_2019_eager_execution)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/why-tensorflow-eager-execution-matters)\n\n- Max Kuhn, [@topepos](https://twitter.com/topepos), RStudio,\nparsnip: A tidy model interface\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/parsnip-a-tidy-model-interface)\n\n- Claus Wilke, [@clauswilke](https://twitter.com/clauswilke), The University of Texas at Austin,\n[Visualizing uncertainty with hypothetical outcomes plots](https://docs.google.com/presentation/d/1zMuBSADaxdFnosOPWJNA10DaxGEheW6gDxqEPYAuado/edit?usp=sharing)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/visualizing-uncertainty-with-hypothetical-outcomes-plots)\n\n### 4:00 Session 3, Track 3: Kaleidoscope\n\n- Matt Dancho, [@mdancho84](https://twitter.com/mdancho84), Business Science,\nUsing R, the Tidyverse, H2O, and Shiny to reduce employee attrition\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/using-r-the-tidyverse-h2o-and-shiny-to-reduce-employee-attrition)\n\n- Hao Zhu, [@haozhu233](https://twitter.com/haozhu233), Hebrew SeniorLife – Institute for Aging Research,\n[Empowering a data team with RStudio addins](http://bit.ly/rstudioaddin19)\n([example/demo](https://github.com/hebrewseniorlife/addin_demo))\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/empowering-a-data-team-with-rstudio-addins)\n\n- [Karl Broman](https://kbroman.org), University of Wisconsin,\n[R/qtl2: Rewrite of a very old R package](https://bit.ly/rstudio2019)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/r-qtl2-rewrite-of-a-very-old-r-package)\n\n- Amanda Gadrow, [@ajmcoqui](https://github.com/ajmcoqui), RStudio,\n[Getting it right: Writing reliable and maintainable R code](https://github.com/ajmcoqui/testingRCode)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/getting-it-right-writing-reliable-and-maintainable-r-code)\n\n---\n\n## Friday 2019-01-18\n\n### 9:00 Keynote\n\n- [Felienne](http://www.felienne.com/), [@felienne](https://twitter.com/felienne), LIACS - Universiteit Leiden,\nExplicit direct instruction in programming education\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/opening-keynote-day2)\n\n### 10:30 Session 4, Track 1: org-thinking\n\n- James (JD) Long, [@CMastication](https://twitter.com/CMastication), Renaissance Re,\n[Putting empathy in action: Building a `community of practice' for\nanalytics in a global corporation](https://cerebralmastication.com/prez/rstudio_conf_2019_main.html)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/putting-empathy-in-action-building-a-community-of-practice-for-analytics-in-a-global-corporation)\n\n- Tonya Filz, [@TonyaFilz](https://twitter.com/tonyafilz), RStudio,\nThe resilient R champion\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/the-resilient-r-champion)\n\n- [Hilary Parker](https://hilaryparker.com), [@hspter](https://twitter.com/hspter), Stitch Fix,\n[Cultivating creativity in data work](https://www.slideshare.net/mobile/hilaryparker/rstudioconf2019l)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/cultivating-creativity-in-data-work)\n\n- Angela Bassa, [@AngeBassa](https://twitter.com/AngeBassa), iRobot,\n[Data science as a team sport](https://github.com/angelabassa/rstudioconf-2019)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/data-science-as-a-team-sport)\n\n### 10:30 Session 4, Track 2: programming\n\n- Gabor Csardi, [@GaborCsardi](https://twitter.com/GaborCsardi), RStudio,\npkgman: A fresh approach to package installation\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/pkgman-a-fresh-approach-to-package-installation)\n\n- Jim Hester, [@jimhester_](https://twitter.com/jimhester_), RStudio,\n[It depends: A dialog about dependencies](https://speakerdeck.com/jimhester/it-depends)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/it-depends-a-dialog-about-dependencies)\n\n- Jeroen Ooms, [@opencpu](https://twitter.com/opencpu), rOpenSci,\n[A preview of Rtools 4.0](https://jeroen.github.io/rstudio2019)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/a-preview-of-rtools-4-0)\n\n- Miles McBain, [@MilesMcBain](https://twitter.com/MilesMcBain), ACEMS, Queensland University of Technology,\n[Our colour of magic: The open sourcery of fantastic R packages](https://github.com/MilesMcBain/rstudioconf_talk)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/our-colour-of-magic-the-open-sourcery-of-fantastic-r-packages)\n\n### 10:30 Session 4, Track 3: publication\n\n- Garrett Grolemund, [@StatGarrett](https://twitter.com/StatGarrett), RStudio,\n[R Markdown: The bigger picture](https://github.com/garrettgman/rmarkdown-the-bigger-picture)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/r-markdown-the-bigger-picture)\n\n- Yihui Xie, [@xieyihui](https://twitter.com/xieyihui), RStudio,\n[pagedown: Creating beautiful PDFs with R Markdown and CSS](https://bit.ly/pagedown)\n([pagedown github repo](https://github.com/rstudio/pagedown))\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/pagedown-creating-beautiful-pdfs-with-r-markdown-and-css)\n\n- Rich Iannone, [@riannone](https://twitter.com/riannone), RStudio,\n[Introducing the gt package](https://github.com/rich-iannone/presentations/tree/master/2019_01-19-rstudio_conf_gt)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/introducing-the-gt-package)\n\n- Mike K Smith, [@MikeKSmith](https://twitter.com/MikeKSmith), Pfizer Ltd,\n[The lazy and easily distracted report writer: Using rmarkdown and\nparameterized reports](https://github.com/MikeKSmith/RStudioConf2019)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/the-lazy-and-easily-distracted-report-writer-using-rmarkdown-and-parameterised-reports)\n\n---\n\n### 1:00 Session 5, Track 1: teaching\n\n- [Caitlin Hudon](https://caitlinhudon.com/), [@beeonaposy](https://twitter.com/beeonaposy), R-Ladies Austin,\nLearning from eight years of data science mistakes\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/learning-from-eight-years-of-data-science-mistakes)\n\n- Mary Rudis, [@mrshrbrmstr](https://twitter.com/mrshrbrmstr), Penn State Harrisburg,\n[Catching the R wave: How R and RStudio are revolutionizing statistics\neducation in community colleges (and beyond)](https://github.com/mrshrbrmstr/RStudioConf2019)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/catching-the-r-wave-how-r-and-rstudio-are-revolutionizing-statistics-education-in-community-colleges-and-beyond)\n\n- Carl Howe, [@cdhowe](https://twitter.com/cdhowe), RStudio,\n[The next million R users](https://github.com/rstudio/learning-r-survey/blob/master/slides/Next-Million-R-Users.pdf)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/the-next-million-r-users)\n\n- Mel Gregory, RStudio,\nRStudio Cloud for education\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/rstudio-cloud-for-education)\n\n### 1:00 Session 5, Track 2: programming\n\n- Hadley Wickham, [@hadleywickham](https://twitter.com/hadleywickham), RStudio,\nvctrs: Tools for making size and type consistent functions\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/vctrs-tools-for-making-size-and-type-consistent-functions)\n\n- Jenny Bryan, [@jennybryan](https://twitter.com/jennybryan), RStudio, [Tidy eval in context](https://rstd.io/tidy-eval-context)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/lazy-evaluation)\n\n- Lionel Henry, [@_lionelhenry](https://twitter.com/_lionelhenry), RStudio,\n[Working with names and expressions in your tidy eval code](https://speakerdeck.com/lionelhenry/selecting-and-doing-with-tidy-eval)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/working-with-names-and-expressions-in-your-tidy-eval-code)\n\n- Jesse Sadler, [@vivalosburros](https://twitter.com/vivalosburros), independent researcher,\n[Learning and using the tidyverse for historical research](https://github.com/jessesadler/rstudioconf-2019-slides)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/learning-and-using-the-tidyverse-for-historical-research)\n\n### 1:00 Session 5, Track 3: shiny\n\n- Eric Nantz, [@thercast](https://twitter.com/thercast), Eli Lilly,\n[Effective use of Shiny modules in application development](https://rpodcast.github.io/rsconf-2019)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/effective-use-of-shiny-modules-in-application-development)\n\n- Barret Schloerke, [@schloerke](https://twitter.com/schloerke), RStudio,\n[Reactlog 2.0: Debugging the state of Shiny](http://github.com/schloerke/presentation-2019-01-18-reactlog)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/reactlog-2-0-debugging-the-state-of-shiny)\n\n- Alan Dipert, [@alandipert](https://twitter.com/alandipert), RStudio,\nIntegrating React.js and Shiny\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/integrating-react-js-and-shiny)\n\n- Ian Fellows, Fellows Statistics,\nDon't let long running tasks hang your users: introducing ipc for Shiny\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/don-t-let-long-running-tasks-hang-your-users-introducing-ipc-for-shiny)\n\n---\n\n### 3:00 Keynote\n\n- [David Robinson](http://varianceexplained.org/), [@drob](https://twitter.com/drob), DataCamp,\n[The unreasonable effectiveness of public work](https://bit.ly/drob-rstudio-2019)\n[![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/the-unreasonable-effectiveness-of-public-work)\n\n### Panel discussion\n\n- Edgar Ruiz ([@theotheredgar](https://twitter.com/theotheredgar)),\n  Angela Bassa ([@AngeBassa](https://twitter.com/AngeBassa)),\n  [Karthik Ram](https://bids.berkeley.edu/people/karthik-ram) ([@_inundata](https://mobile.twitter.com/_inundata)),\n  [Hilary Parker](https://hilaryparker.com) ([@hspter](https://twitter.com/hspter)),\n  Tracy Teal ([@tracykteal](https://twitter.com/tracykteal)),\n  Growth & change of careers, organizations and responsibility in data science\n  [![video](video-icon.png)](https://resources.rstudio.com/rstudio-conf-2019/4pm-panel-day-2)\n\n---\n\n## Followup blog posts\n\n- Jacqueline Nolis, [@skyetetera](https://twitter.com/skyetetra), T-Mobile, [rstudio::conf 2019 takeaways: Serious Shiny, R in Production, and Data Science Skill Growth](https://medium.com/@skyetetra/rstudio-conf-2019-takeaways-9c60eda17084)\n\n- Athanasia Monika Mowinckel, [@DrMowinckels](https://twitter.com/DrMowinckels),\nCenter for Lifespan Changes in Brain and Cognition, Oslo, Norway,\n[Why RStudio::conf is the best conference experience I have had](https://drmowinckels.io/blog/why-rstudio-conf-is-the-best-conference-experience-i-have-had/)\n\n- Julia Silge, [@juliasilge](https://twitter.com/juliasilge), StackExchange,\n[Feeling the rstudio::conf :heart:](https://juliasilge.com/blog/rstudio-conf-2019/)\n\n- Sean Lopp, [@lopp_sean](https://twitter.com/lopp_sean), RStudio,\n[rstudio::conf 2019 — The theme you may have missed!](https://medium.com/@sean_50535/rstudio-conf-2019-the-theme-you-may-have-missed-a3e2993a8121)\n\n- Laura Ellis, [@LittleMissData](https://twitter.com/LittleMissData), IBM,\n[R Studio Conf 2019 - Easing your FOMO with R Resources](https://www.littlemissdata.com/blog/rstudioconf2019)\n\n- Brooke Watson, [@brookLYNevery1](https://twitter.com/brookLYNevery1), ACLU,\n[Rstudio::conf 2019: lessons learned](https://blog.brooke.science/posts/rstudio-conf-2019/)\n\n- Hannah Frick for Mango Solutions, [rstudio::conf 2019 roundup](https://www.mango-solutions.com/blog/rstudioconf-2019)\n\n- Hernando Cortina [@cortinah](https://twitter.com/cortinah), [Climate change: Modeling 140+ years of temperature data with tsibble and fable](http://rethinking.rbind.io/2019/01/21/140-years/)\n\n- Zev Ross, [@zevross](https://twitter.com/zevross),\n[15 new ideas and new tools for R gathered from the RStudio Conference 2019](https://www.zevross.com/blog/2019/01/22/15-new-ideas-and-new-tools-for-r-gathered-from-the-rstudio-conference-2019/)\n\n- Ryan Johnson, [@ryjohnson09](https://twitter.com/ryjohnson09), [RStudio Conference Recap](https://ryjohnson09.netlify.com/post/2019-1-19_rstudio-conf_recap/)\n\n- Sam Tyner, [@sctyner](https://twitter.com/sctyner), Iowa State University,\n[Lessons learned at rstudio::conf](https://sctyner.github.io/rstudio-conf.html)\n\n- Eric Scott, [LeafyEricScott](https://twitter.com/LeafyEricScott), Tufts University,\n[RStudio::conf reflections](http://www.ericrscott.com/2019/01/23/rstudio-conf-reflections/)\n\n\n- Eric Nantz, [@thercast](https://twitter.com/theRcast), [R-Podcast episode 26: the podcast trifecta from `rstudio::conf`](https://r-podcast.org/26)\n\n- Pranav Dar, [Top 10 Presentations from rstudio::conf 2019 – The Best R Conference of the Year!](https://www.analyticsvidhya.com/blog/2019/01/top-highlights-rstudioconf-2019-best-r-conference/)\n\n- Ryo Nakagawara, [@R_by_Ryo](https://twitter.com/R_by_Ryo), [My #TidyverseDevDay and #RStudioConf 2019 Reflections!](https://ryo-n7.github.io/2019-01-25-tidyversedevday-rstudioconf-reflections/)\n\n- Ted Laderas, [@tladeras](https://twitter.com/tladeras), [Rstudio Conf 2019: Education and Organizations](http://laderast.github.io/2019/01/24/rstudio-conf-2019-education-and-organizations/)\n\n- (in Portuguese) Bruna Wundervald, [@bwundervald](https://twitter.com/bwundervald), [Resumo da rstudio::conf 2019](https://www.curso-r.com/blog/2019-01-30-rconf/)\n"
  }
]