Repository: kbroman/RStudioConf2019Slides Branch: master Commit: f7cc6b77c1b5 Files: 1 Total size: 26.7 KB Directory structure: gitextract_250lp_x_/ └── ReadMe.md ================================================ FILE CONTENTS ================================================ ================================================ FILE: ReadMe.md ================================================ # Links to slides from rstudio::conf 2019 Links to slides to talks at the 2019 [rstudio::conf](https://www.rstudio.com/conference/) Pull requests welcome! Or add an issue or email [Karl Broman](http://kbroman.org). Videos of the talks are at <https://resources.rstudio.com/rstudio-conf-2019>. --- ## Workshops material RStudio blog post with links to all workshops' materials: <https://blog.rstudio.com/2019/02/06/rstudio-conf-2019-workshops/> - [Advanced R Markdown](https://arm.rbind.io/) - [Applied Machine Learning](https://github.com/topepo/rstudio-conf-2019) - [Big Data with R](https://github.com/rstudio/bigdataclass) - [Data Science in the Tidyverse](https://github.com/AmeliaMN/data-science-in-tidyverse.git) - 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) - [Introduction to Shiny and R Markdown workshop](https://github.com/dtkaplan/shinymark) - Shiny in Production - [Workshop slides](https://github.com/youcc/RStudioConf2019Slides/blob/master/Shiny-in-Production.pdf) - [Supplement book](https://github.com/kellobri/shiny-prod-book) - [GitHub material](https://github.com/kellobri/spc-app) - [Rstudio Pro Products Admin Training](https://colorado.rstudio.com/rsc/pro-admin-training/overview/Overview.html) - [Train-the-trainer workshop](https://github.com/rstudio-education/teaching-workshop-2019-01) - [What they forgot to teach you about R](https://jennybc.github.io/wtf-2019-rsc/) --- ## Wednesday 2019-01-16 ePosters - 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/) - Alex Gold, [@alexkgold](https://twitter.com/alexkgold), [Upgrading to R: Tips and mistakes you don't have to make](https://akgold.github.io/rsconf2019/); see also [blog post](https://alexkgold.space/2019/01/19/upgrading-to-r-at-rstudio-conf-2019/) for slide-by-slide extended narrative - Leonard Kiefer, [@lenkiefer](https://twitter.com/lenkiefer), [Using R to Analyze Economic and Housing Market Trends](http://lenkiefer.com/2019/01/15/rstudioconf-poster/) - Ted Laderas, [@tladeras](https://twitter.com/tladeras), and Jessica Minnier, [@datapointier](https://twitter.com/datapointier), [Democratizing data science using Shiny and LearnR](https://docs.google.com/presentation/d/1nCmo6EcrhyZZiQrXQkwYRCyimXbvNG20A84qlQ0YvTw/mobilepresent?slide=id.g36d32efe66_2_77) - Nick Strayer, [@nicholasstrayer](https://twitter.com/nicholasstrayer), [Multimorbidity explorer: A shiny app for exploring EHR and biobank data](http://nickstrayer.me/rstudioconf19_me-poster/) - 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) - Jeremy Wildfire, [@jwildfire](https://twitter.com/jwildfire), [Modernizing the clinical trial analysis pipeline with R and JavaScript](https://github.com/RhoInc/RStudioConf2019-ePoster/) - Hiroaki Yutani, [@yutannihilat_en](https://twitter.com/yutannihilat_en), [Introduction to gghighlight](https://github.com/yutannihilation/rstudioconf2019) --- ## Thursday 2019-01-17 ### Welcome - Welcome to rstudio::conf [](https://resources.rstudio.com/rstudio-conf-2019/welcome-to-rstudio-conf-2019) - [Tareef Kawaf](https://resources.rstudio.com/authors/tareef-kawaf), [@tareefk](https://resources.rstudio.com/authors/tareef-kawaf), Welcome and RStudio Vision [](https://resources.rstudio.com/rstudio-conf-2019/opening-keynote-tareef-kawaf) ### 9:30 Keynote - [Joe Cheng](https://github.com/jcheng5), [@jcheng](https://twitter.com/jcheng), [Shiny in production](https://speakerdeck.com/jcheng5/shiny-in-production) ([related book](https://bit.ly/shiny-prod-book) by [Kelly O'Briant](https://kellobri.github.io/)) [](https://resources.rstudio.com/rstudio-conf-2019/shiny-in-production-principles-practices-and-tools-joe-cheng) --- ### 11:00 Session 1, Track 1: Tidyverse - [Karthik Ram](https://bids.berkeley.edu/people/karthik-ram), [@_inundata](https://mobile.twitter.com/_inundata), rOpenSci, [A guide to modern reproducible data science with R](https://github.com/karthik/rstudio2019) [](https://resources.rstudio.com/rstudio-conf-2019/a-guide-to-modern-reproducible-data-science-with-r) - Jeffrey Arnold, [@jrnold](https://twitter.com/jrnold), Insight, Solving R for data science ([solutions to R4DS exercises](https://github.com/jrnold/r4ds-exercise-solutions)) [](https://resources.rstudio.com/rstudio-conf-2019/solving-r-for-data-science) - [Kara Woo](https://karawoo.com/), [@kara_woo](https://twitter.com/kara_woo), Sage Bionetworks, [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)) [](https://resources.rstudio.com/rstudio-conf-2019/box-plots-a-case-study-in-debugging-and-perseverance) - [Amelia McNamara](https://amelia.mn), [@AmeliaMN](https://twitter.com/AmeliaMN), University of St. Thomas, [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/)) [](https://resources.rstudio.com/rstudio-conf-2019/working-with-categorical-data-in-r-without-losing-your-mind) ### 11:00 Session 1, Track 2: Interop - Wes McKinney, RStudio, Ursa Labs and Apache Arrow in 2019 [](https://resources.rstudio.com/rstudio-conf-2019/ursa-labs-and-apache-arrow-in-2019) - 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)) [](https://resources.rstudio.com/rstudio-conf-2019/new-language-features-in-rstudio) - Edgar Ruiz, [@theotheredgar](https://twitter.com/theotheredgar), RStudio, [Databases using R: The latest](https://github.com/edgararuiz/databases-w-r) [](https://resources.rstudio.com/rstudio-conf-2019/databases-using-r-the-latest) - [Kelly O’Briant](https://kellobri.github.io/), [@kellrstats](https://twitter.com/kellrstats), RStudio, Configuration management tools for the R admin [](https://resources.rstudio.com/rstudio-conf-2019/configuration-management-tools-for-the-r-admin) ### 11:00 Session 1, Track 3: Production - Heather & Jacqueline Nolis, [@heatherklus](https://twitter.com/heatherklus) and [@skyetetra](https://twitter.com/skyetetra), Nolis, LLC, [Push straight to prod: API development with R and Tensorflow at T-Mobile](https://nolisllc.com/assets/presentations/r-tensorflow-api.pdf) [](https://resources.rstudio.com/rstudio-conf-2019/push-straight-to-prod-api-development-with-r-and-tensorflow-at-tmobile) - Mark Sellors, [@sellorm](https://twitter.com/sellorm), Mango Solutions, [R in production](https://rinprod.com) [](https://resources.rstudio.com/rstudio-conf-2019/r-in-production) - Jeff Allen, RStudio, [RStudio Connect: Past, present, and future](http://rstd.io/rsc170) [](https://resources.rstudio.com/rstudio-conf-2019/rstudio-connect-past-present-and-future) - [Sean Lopp](https://twitter.com/lopp_sean), RStudio, [Announcing RStudio Package Manager](https://github.com/slopp/rspm-rstudioconf) [](https://resources.rstudio.com/rstudio-conf-2019/announcing-rstudio-package-manager-2) --- ### 2:00 Session 2, Track 1: Teaching - Jesse Mostipak, [@kierisi](https://twitter.com/kierisi), Teaching Trust, R4DS online learning community: Improvements to self-taught data science & the critical need for diversity, equity, and inclusion in data science education [](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) - Irene Steves, [@i_steves](https://twitter.com/i_steves), [Teaching data science with puzzles](https://github.com/isteves/ds-puzzles) [](https://resources.rstudio.com/rstudio-conf-2019/teaching-data-science-with-puzzles) - Kelly Nicole Bodwin, [@kellybodwin](https://twitter.com/kellybodwin), California Polytechnic State University, [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)) [](https://resources.rstudio.com/rstudio-conf-2019/introductory-statistics-with-r-easing-the-transition-to-software-for-beginner-students) - Tracy Teal, [@tracykteal](https://twitter.com/tracykteal), The Carpentries, [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) [](https://resources.rstudio.com/rstudio-conf-2019/teaching-r-using-inclusive-pedagogy-practices-and-lessons-learned-from-over-700-carpentries-workshops) ### 2:00 Session 2, Track 2: Distributed - Darby Hadley, RStudio, RStudio Job Launcher: Changing where we run R stuff [](https://resources.rstudio.com/rstudio-conf-2019/rstudio-job-launcher-changing-where-we-run-r-stuff) - Javier Luraschi, [@javierluraschi](https://twitter.com/javierluraschi), RStudio, [Scaling R with Spark](http://rpubs.com/jluraschi/scaling-r-with-spark-rstudio-conf) [](https://resources.rstudio.com/rstudio-conf-2019/scaling-r-with-spark) - Kevin Kuo, RStudio, Introducing mlflow [](https://resources.rstudio.com/rstudio-conf-2019/introducing-mlflow) - James Blair, [@blair09m](https://twitter.com/blair09m), RStudio, [Democratizing R with Plumber APIs](https://bit.ly/2TXfFR5) [](https://resources.rstudio.com/rstudio-conf-2019/democratizing-r-with-plumber-apis) ## 2:00 Session 2, Track 3: Industry - [Brooke Watson](http://brooke.science/), [@brookLYNevery1](https://twitter.com/brookLYNever1y), ACLU, R at the ACLU: Joining tables to reunite families [](https://resources.rstudio.com/rstudio-conf-2019/r-at-the-aclu-joining-tables-to-to-reunite-families) - [Emily Robinson](https://hookedondata.org/), [@robinson_es](https://twitter.com/robinson_es), Data Scientist at DataCamp, [Building an A/B testing analytics system with R and Shiny](http://bit.ly/rstudio19) [](https://resources.rstudio.com/rstudio-conf-2019/building-an-ab-testing-analytics-system-with-r-and-shiny) - [Nic Crane](https://thisisnic.github.io/), [@nic_crane](https://twitter.com/nic_crane), Elucidata, [The future’s Shiny: Pioneering genomic medicine in R](https://github.com/thisisnic/rstudio-conf-2019) [](https://resources.rstudio.com/rstudio-conf-2019/the-futures-shiny-pioneering-genomic-medicine-in-r) - Joe Rickert, [@rstudiojoe](https://twitter.com/rstudiojoe), RStudio, R Consortium initiatives in medicine [](https://resources.rstudio.com/rstudio-conf-2019/r-consortium-initiatives-in-medicine) --- ### 4:00 Session 3, Track 1: Tidyverse - [Earo Wang](https://earo.me/), [@earowang](https://twitter.com/earowang), Monash University, [Melt the clock: Tidy time series analysis](https://slides.earo.me/rstudioconf19) [](https://resources.rstudio.com/rstudio-conf-2019/melt-the-clock-tidy-time-series-analysis) - Tyler Morgan-Wall, [@tylermorganwall](https://twitter.com/tylermorganwall), Institute for Defense Analyses, 3D mapping, plotting, and printing with rayshader [](https://resources.rstudio.com/rstudio-conf-2019/3d-mapping-plotting-and-printing-with-rayshader) - Edzer Pebesma, [@edzerpebesma](https://twitter.com/edzerpebesma) & Michael Sumner, Etienne Racine, Institute for Geoinformatics, University of Muenster, Germany, [Spatial data science in the Tidyverse](https://edzer.github.io/rstudio_conf/2019/index.html) [](https://resources.rstudio.com/rstudio-conf-2019/spatial-data-science-in-the-tidyverse) - [Thomas Lin Pedersen](https://www.data-imaginist.com/), [@thomasp85](https://twitter.com/thomasp85), RStudio, [gganimate live cookbook](https://www.data-imaginist.com/slides/rstudioconf2019/assets/player/keynotedhtmlplayer#0) [](https://resources.rstudio.com/rstudio-conf-2019/gganimate-live-cookbook) ### 4:00 Session 3, Track 2: Modeling - Alex Hayes, [@alexpghayes](https://twitter.com/alexpghayes), University of Wisconsin, Madison, [Solving the model representation problem with broom](https://buff.ly/2FGKFkj) [](https://resources.rstudio.com/rstudio-conf-2019/solving-the-model-representation-problem-with-broom) - Sigrid Keydana, [@zkajdan](https://twitter.com/zkajdan), RStudio, [Why TensorFlow eager execution matters](https://github.com/skeydan/rstudio_conf_2019_eager_execution) [](https://resources.rstudio.com/rstudio-conf-2019/why-tensorflow-eager-execution-matters) - Max Kuhn, [@topepos](https://twitter.com/topepos), RStudio, parsnip: A tidy model interface [](https://resources.rstudio.com/rstudio-conf-2019/parsnip-a-tidy-model-interface) - Claus Wilke, [@clauswilke](https://twitter.com/clauswilke), The University of Texas at Austin, [Visualizing uncertainty with hypothetical outcomes plots](https://docs.google.com/presentation/d/1zMuBSADaxdFnosOPWJNA10DaxGEheW6gDxqEPYAuado/edit?usp=sharing) [](https://resources.rstudio.com/rstudio-conf-2019/visualizing-uncertainty-with-hypothetical-outcomes-plots) ### 4:00 Session 3, Track 3: Kaleidoscope - Matt Dancho, [@mdancho84](https://twitter.com/mdancho84), Business Science, Using R, the Tidyverse, H2O, and Shiny to reduce employee attrition [](https://resources.rstudio.com/rstudio-conf-2019/using-r-the-tidyverse-h2o-and-shiny-to-reduce-employee-attrition) - Hao Zhu, [@haozhu233](https://twitter.com/haozhu233), Hebrew SeniorLife – Institute for Aging Research, [Empowering a data team with RStudio addins](http://bit.ly/rstudioaddin19) ([example/demo](https://github.com/hebrewseniorlife/addin_demo)) [](https://resources.rstudio.com/rstudio-conf-2019/empowering-a-data-team-with-rstudio-addins) - [Karl Broman](https://kbroman.org), University of Wisconsin, [R/qtl2: Rewrite of a very old R package](https://bit.ly/rstudio2019) [](https://resources.rstudio.com/rstudio-conf-2019/r-qtl2-rewrite-of-a-very-old-r-package) - Amanda Gadrow, [@ajmcoqui](https://github.com/ajmcoqui), RStudio, [Getting it right: Writing reliable and maintainable R code](https://github.com/ajmcoqui/testingRCode) [](https://resources.rstudio.com/rstudio-conf-2019/getting-it-right-writing-reliable-and-maintainable-r-code) --- ## Friday 2019-01-18 ### 9:00 Keynote - [Felienne](http://www.felienne.com/), [@felienne](https://twitter.com/felienne), LIACS - Universiteit Leiden, Explicit direct instruction in programming education [](https://resources.rstudio.com/rstudio-conf-2019/opening-keynote-day2) ### 10:30 Session 4, Track 1: org-thinking - James (JD) Long, [@CMastication](https://twitter.com/CMastication), Renaissance Re, [Putting empathy in action: Building a `community of practice' for analytics in a global corporation](https://cerebralmastication.com/prez/rstudio_conf_2019_main.html) [](https://resources.rstudio.com/rstudio-conf-2019/putting-empathy-in-action-building-a-community-of-practice-for-analytics-in-a-global-corporation) - Tonya Filz, [@TonyaFilz](https://twitter.com/tonyafilz), RStudio, The resilient R champion [](https://resources.rstudio.com/rstudio-conf-2019/the-resilient-r-champion) - [Hilary Parker](https://hilaryparker.com), [@hspter](https://twitter.com/hspter), Stitch Fix, [Cultivating creativity in data work](https://www.slideshare.net/mobile/hilaryparker/rstudioconf2019l) [](https://resources.rstudio.com/rstudio-conf-2019/cultivating-creativity-in-data-work) - Angela Bassa, [@AngeBassa](https://twitter.com/AngeBassa), iRobot, [Data science as a team sport](https://github.com/angelabassa/rstudioconf-2019) [](https://resources.rstudio.com/rstudio-conf-2019/data-science-as-a-team-sport) ### 10:30 Session 4, Track 2: programming - Gabor Csardi, [@GaborCsardi](https://twitter.com/GaborCsardi), RStudio, pkgman: A fresh approach to package installation [](https://resources.rstudio.com/rstudio-conf-2019/pkgman-a-fresh-approach-to-package-installation) - Jim Hester, [@jimhester_](https://twitter.com/jimhester_), RStudio, [It depends: A dialog about dependencies](https://speakerdeck.com/jimhester/it-depends) [](https://resources.rstudio.com/rstudio-conf-2019/it-depends-a-dialog-about-dependencies) - Jeroen Ooms, [@opencpu](https://twitter.com/opencpu), rOpenSci, [A preview of Rtools 4.0](https://jeroen.github.io/rstudio2019) [](https://resources.rstudio.com/rstudio-conf-2019/a-preview-of-rtools-4-0) - Miles McBain, [@MilesMcBain](https://twitter.com/MilesMcBain), ACEMS, Queensland University of Technology, [Our colour of magic: The open sourcery of fantastic R packages](https://github.com/MilesMcBain/rstudioconf_talk) [](https://resources.rstudio.com/rstudio-conf-2019/our-colour-of-magic-the-open-sourcery-of-fantastic-r-packages) ### 10:30 Session 4, Track 3: publication - Garrett Grolemund, [@StatGarrett](https://twitter.com/StatGarrett), RStudio, [R Markdown: The bigger picture](https://github.com/garrettgman/rmarkdown-the-bigger-picture) [](https://resources.rstudio.com/rstudio-conf-2019/r-markdown-the-bigger-picture) - Yihui Xie, [@xieyihui](https://twitter.com/xieyihui), RStudio, [pagedown: Creating beautiful PDFs with R Markdown and CSS](https://bit.ly/pagedown) ([pagedown github repo](https://github.com/rstudio/pagedown)) [](https://resources.rstudio.com/rstudio-conf-2019/pagedown-creating-beautiful-pdfs-with-r-markdown-and-css) - Rich Iannone, [@riannone](https://twitter.com/riannone), RStudio, [Introducing the gt package](https://github.com/rich-iannone/presentations/tree/master/2019_01-19-rstudio_conf_gt) [](https://resources.rstudio.com/rstudio-conf-2019/introducing-the-gt-package) - Mike K Smith, [@MikeKSmith](https://twitter.com/MikeKSmith), Pfizer Ltd, [The lazy and easily distracted report writer: Using rmarkdown and parameterized reports](https://github.com/MikeKSmith/RStudioConf2019) [](https://resources.rstudio.com/rstudio-conf-2019/the-lazy-and-easily-distracted-report-writer-using-rmarkdown-and-parameterised-reports) --- ### 1:00 Session 5, Track 1: teaching - [Caitlin Hudon](https://caitlinhudon.com/), [@beeonaposy](https://twitter.com/beeonaposy), R-Ladies Austin, Learning from eight years of data science mistakes [](https://resources.rstudio.com/rstudio-conf-2019/learning-from-eight-years-of-data-science-mistakes) - Mary Rudis, [@mrshrbrmstr](https://twitter.com/mrshrbrmstr), Penn State Harrisburg, [Catching the R wave: How R and RStudio are revolutionizing statistics education in community colleges (and beyond)](https://github.com/mrshrbrmstr/RStudioConf2019) [](https://resources.rstudio.com/rstudio-conf-2019/catching-the-r-wave-how-r-and-rstudio-are-revolutionizing-statistics-education-in-community-colleges-and-beyond) - Carl Howe, [@cdhowe](https://twitter.com/cdhowe), RStudio, [The next million R users](https://github.com/rstudio/learning-r-survey/blob/master/slides/Next-Million-R-Users.pdf) [](https://resources.rstudio.com/rstudio-conf-2019/the-next-million-r-users) - Mel Gregory, RStudio, RStudio Cloud for education [](https://resources.rstudio.com/rstudio-conf-2019/rstudio-cloud-for-education) ### 1:00 Session 5, Track 2: programming - Hadley Wickham, [@hadleywickham](https://twitter.com/hadleywickham), RStudio, vctrs: Tools for making size and type consistent functions [](https://resources.rstudio.com/rstudio-conf-2019/vctrs-tools-for-making-size-and-type-consistent-functions) - Jenny Bryan, [@jennybryan](https://twitter.com/jennybryan), RStudio, [Tidy eval in context](https://rstd.io/tidy-eval-context) [](https://resources.rstudio.com/rstudio-conf-2019/lazy-evaluation) - Lionel Henry, [@_lionelhenry](https://twitter.com/_lionelhenry), RStudio, [Working with names and expressions in your tidy eval code](https://speakerdeck.com/lionelhenry/selecting-and-doing-with-tidy-eval) [](https://resources.rstudio.com/rstudio-conf-2019/working-with-names-and-expressions-in-your-tidy-eval-code) - Jesse Sadler, [@vivalosburros](https://twitter.com/vivalosburros), independent researcher, [Learning and using the tidyverse for historical research](https://github.com/jessesadler/rstudioconf-2019-slides) [](https://resources.rstudio.com/rstudio-conf-2019/learning-and-using-the-tidyverse-for-historical-research) ### 1:00 Session 5, Track 3: shiny - Eric Nantz, [@thercast](https://twitter.com/thercast), Eli Lilly, [Effective use of Shiny modules in application development](https://rpodcast.github.io/rsconf-2019) [](https://resources.rstudio.com/rstudio-conf-2019/effective-use-of-shiny-modules-in-application-development) - Barret Schloerke, [@schloerke](https://twitter.com/schloerke), RStudio, [Reactlog 2.0: Debugging the state of Shiny](http://github.com/schloerke/presentation-2019-01-18-reactlog) [](https://resources.rstudio.com/rstudio-conf-2019/reactlog-2-0-debugging-the-state-of-shiny) - Alan Dipert, [@alandipert](https://twitter.com/alandipert), RStudio, Integrating React.js and Shiny [](https://resources.rstudio.com/rstudio-conf-2019/integrating-react-js-and-shiny) - Ian Fellows, Fellows Statistics, Don't let long running tasks hang your users: introducing ipc for Shiny [](https://resources.rstudio.com/rstudio-conf-2019/don-t-let-long-running-tasks-hang-your-users-introducing-ipc-for-shiny) --- ### 3:00 Keynote - [David Robinson](http://varianceexplained.org/), [@drob](https://twitter.com/drob), DataCamp, [The unreasonable effectiveness of public work](https://bit.ly/drob-rstudio-2019) [](https://resources.rstudio.com/rstudio-conf-2019/the-unreasonable-effectiveness-of-public-work) ### Panel discussion - Edgar Ruiz ([@theotheredgar](https://twitter.com/theotheredgar)), Angela Bassa ([@AngeBassa](https://twitter.com/AngeBassa)), [Karthik Ram](https://bids.berkeley.edu/people/karthik-ram) ([@_inundata](https://mobile.twitter.com/_inundata)), [Hilary Parker](https://hilaryparker.com) ([@hspter](https://twitter.com/hspter)), Tracy Teal ([@tracykteal](https://twitter.com/tracykteal)), Growth & change of careers, organizations and responsibility in data science [](https://resources.rstudio.com/rstudio-conf-2019/4pm-panel-day-2) --- ## Followup blog posts - 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) - Athanasia Monika Mowinckel, [@DrMowinckels](https://twitter.com/DrMowinckels), Center for Lifespan Changes in Brain and Cognition, Oslo, Norway, [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/) - Julia Silge, [@juliasilge](https://twitter.com/juliasilge), StackExchange, [Feeling the rstudio::conf :heart:](https://juliasilge.com/blog/rstudio-conf-2019/) - Sean Lopp, [@lopp_sean](https://twitter.com/lopp_sean), RStudio, [rstudio::conf 2019 — The theme you may have missed!](https://medium.com/@sean_50535/rstudio-conf-2019-the-theme-you-may-have-missed-a3e2993a8121) - Laura Ellis, [@LittleMissData](https://twitter.com/LittleMissData), IBM, [R Studio Conf 2019 - Easing your FOMO with R Resources](https://www.littlemissdata.com/blog/rstudioconf2019) - Brooke Watson, [@brookLYNevery1](https://twitter.com/brookLYNevery1), ACLU, [Rstudio::conf 2019: lessons learned](https://blog.brooke.science/posts/rstudio-conf-2019/) - Hannah Frick for Mango Solutions, [rstudio::conf 2019 roundup](https://www.mango-solutions.com/blog/rstudioconf-2019) - 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/) - Zev Ross, [@zevross](https://twitter.com/zevross), [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/) - Ryan Johnson, [@ryjohnson09](https://twitter.com/ryjohnson09), [RStudio Conference Recap](https://ryjohnson09.netlify.com/post/2019-1-19_rstudio-conf_recap/) - Sam Tyner, [@sctyner](https://twitter.com/sctyner), Iowa State University, [Lessons learned at rstudio::conf](https://sctyner.github.io/rstudio-conf.html) - Eric Scott, [LeafyEricScott](https://twitter.com/LeafyEricScott), Tufts University, [RStudio::conf reflections](http://www.ericrscott.com/2019/01/23/rstudio-conf-reflections/) - Eric Nantz, [@thercast](https://twitter.com/theRcast), [R-Podcast episode 26: the podcast trifecta from `rstudio::conf`](https://r-podcast.org/26) - 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/) - 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/) - 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/) - (in Portuguese) Bruna Wundervald, [@bwundervald](https://twitter.com/bwundervald), [Resumo da rstudio::conf 2019](https://www.curso-r.com/blog/2019-01-30-rconf/)
gitextract_250lp_x_/ └── ReadMe.md
Condensed preview — 1 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (28K chars).
[
{
"path": "ReadMe.md",
"chars": 27299,
"preview": "# Links to slides from rstudio::conf 2019\n\nLinks to slides to talks at the 2019\n[rstudio::conf](https://www.rstudio.com/"
}
]
About this extraction
This page contains the full source code of the kbroman/RStudioConf2019Slides GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 1 files (26.7 KB), approximately 8.1k tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
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