32 Folgen

R is a free and open-source statistical computing environment. It has quickly become the leading choice of software used to develop cutting-edge statistical algorithms, innovative visualizations, and data processing, among other key features. R has seen tremendous growth in popularity and functionality over the last decade, largely due to the vibrant and devoted R community of users. Whether you have experience with commercial statistical software such as SAS or SPSS and want to learn R, or getting into statistical computing for the first time, the R-Podcast will provide you with valuable information and advice that will help you to tap into the power of R. Our intent is to start with the basic concepts that can be a struggle for those new to R and statistical computing. We will give practical advice on how to take advantage of R’s capabilities to accomplish innovative and robust data analyses. Along the way we will highlight the additional tools and packages that greatly enhance the experience of using R, and highlight resources that can help people become experts with R. While this podcast is not meant to be a series of lectures on statistics, we will use freely and publicly available data sets to illustrate both basic statistical analyses as well as state-of-the-art algorithms to show how powerful and robust R can be for analyzing today’s explosion of data. In addition to the audio podcast, we will also produce screencasts for hands-on demonstrations for those topics that are best explained via video.

The R-Podcast Eric Nantz

    • So geht’s

R is a free and open-source statistical computing environment. It has quickly become the leading choice of software used to develop cutting-edge statistical algorithms, innovative visualizations, and data processing, among other key features. R has seen tremendous growth in popularity and functionality over the last decade, largely due to the vibrant and devoted R community of users. Whether you have experience with commercial statistical software such as SAS or SPSS and want to learn R, or getting into statistical computing for the first time, the R-Podcast will provide you with valuable information and advice that will help you to tap into the power of R. Our intent is to start with the basic concepts that can be a struggle for those new to R and statistical computing. We will give practical advice on how to take advantage of R’s capabilities to accomplish innovative and robust data analyses. Along the way we will highlight the additional tools and packages that greatly enhance the experience of using R, and highlight resources that can help people become experts with R. While this podcast is not meant to be a series of lectures on statistics, we will use freely and publicly available data sets to illustrate both basic statistical analyses as well as state-of-the-art algorithms to show how powerful and robust R can be for analyzing today’s explosion of data. In addition to the audio podcast, we will also produce screencasts for hands-on demonstrations for those topics that are best explained via video.

    RStudio's Big Move & Kevin Ushey

    RStudio's Big Move & Kevin Ushey

    About this Episode

    This is the first of multiple episodes covering the recent rstudio::conf 2020! In this episode, Eric shares his take on the big news made by RStudio and has a great interview with RStudio software engineer Kevin Ushey.


    Links


    RStudio becomes a Public Benefit Corporation: blog.rstudio.com/2020/01/29/rstudio-pbc
    RStudio changes structure to focus on public benefit: www.infoworld.com/article/3518390/rstudio-changes-structure-to-focus-on-public-benefit.html
    JJ Allaire's keynote slides: rstudio.com/slides/rstudio-pbc/
    A corporate paradign shift - Public Benefit Corporations [https://www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations/](www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations)
    renv: Project Environments for R kevinushey-2020-rstudio-conf.netlify.com/slides.html
    renv GitHub repository: github.com/rstudio/renv
    Emil Hvitfeldt's repository with rstudio::conf links to slides and other materials: github.com/EmilHvitfeldt/RStudioConf2020Slides
    Residual Snippets app: rpodcast.shinyapps.io/rsnippets


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page


    Episode Timestamps

    00:00:00.000 Intro
    00:01:25.000 RStudio PBC
    00:14:50.000 RWeekly Curators Unite!
    00:18:45.000 RStudio's Kevin Ushey
    00:42:26.000 Residual Snippets
    00:47:52.000 Wrapup


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 49 Min.
    Data Science education with R

    Data Science education with R

    About this Episode

    In this episode, Eric shares insights gained from the JSM 2019 conference, including an excellent panel discussion on the use of javascript in statistics. In addition, Eric is joined by RStudio's education team members Alison Hill & Mine Cetinkaya-Rundel to discuss new ideas for teaching data science effectively, as well as how tools like R-Markdown are opening many new possibilities for both students and teachers.


    Episode Shownotes


    Why Javascript? JSM panel discussion:


    Karl Broman's slides
    Carson Sievert's slides

    Data Science in a Box: datasciencebox.org
    RStudio Learner Personas: rstudio-education.github.io/learner-personas
    Advanced R-Markdown workshop from rstudio::conf 2019: arm.rbind.io/
    learnr - Interactive tutorials in R: rstudio.github.io/learnr
    Project Kickstart-R - Create a project/team website and knowledge sharing platform with R-Markdown: github.com/sourcethemes/project-kickstart-r
    lullabyr - Generate children's songs with random words: github.com/mine-cetinkaya-rundel/lullabyr


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page


    Episode Timestamps

    00:00:00.000 Intro
    00:01:22.000 JSM Memories
    00:07:16.000 Why Javascript recap
    00:13:04.000 Shinymeta advice
    00:19:54.000 Conversation with Alison & Mine
    01:01:50.000 Takeaways & Wrapup


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 1 Std. 7 Min.
    The origins and future of RStudio with Tareef Kawaf

    The origins and future of RStudio with Tareef Kawaf

    About this Episode

    Eric is joined by RStudio's president Tareef Kawaf and they cover a wide variety of topics including Tareef's journey to RStudio, building a robust organization structure, and how an open-core model drives RStudio's vision for the present and future.


    Episode Shownotes


    RStudio 1.2 release highlights: blog.rstudio.com/2019/04/30/rstudio-1-2-release
    Tareef's opening keynote at rstudio::conf 2019: Welcome and RStudio Vision
    Reproducible Environments: environments.rstudio.com
    RStudio Community: community.rstudio.com
    RStudio Cloud (currently in alpha): rstudio.cloud
    Introducing RStudio Team: blog.rstudio.com/2019/05/09/introducing-rstudio-team


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page
    Get in touch on Twitter: @theRcast


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 53 Min.
    Chicago R Unconference Recap

    Chicago R Unconference Recap

    Chicago R Unconference


    Unconf website: [https://chirunconf.github.io/](chirunconf.github.io/)
    Issue board: github.com/chirunconf/chirunconf19/issues
    #chirunconf (Sharla Gelfand): sharla.party/posts/chirunconf/
    Discover and share your supeR powers (Mauro Lepore): maurolepore.github.io/confs/articles/2019_chirunconf_experience.html
    Joshua Goldberg's awesome unconf photo album
    footrulr package repo: github.com/kanishkamisra/footrulr
    Fixed-Choice Design Simulation drake workflow (Ben Listyg): github.com/wlandau/drake-examples/tree/master/fcd
    drake v7.0.0 package release notes: ropensci.org/technotes/2019/03/18/drake-700/
    electricShine package repo: github.com/chasemc/electricShine
    25 gt examples: frm1789.github.io/gt_examples/
    The Unconference Toolbox: github.com/unconf-toolbox/
    The Unconf Issue Explorer Shiny app: rpodcast.shinyapps.io/unconfissues/
    Unconf Twitter bot repo: github.com/unconf-toolbox/unconf-bot
    How to Organize an R Unconference: unconf-toolbox.github.io/unconf-guide/
    Unconf attendee application repo: github.com/unconf-toolbox/unconf-apps
    Unconf review Shiny app repo: github.com/unconf-toolbox/Shiny_review_app
    rlangtip package repo: github.com/revodavid/rlangtip
    broom package repo: github.com/tidymodels/broom
    workflowr package repo: github.com/jdblischak/workflowr


    Package Pick


    brickr 3D LEGO models and mosaics from images using R and tidyverse: github.com/ryantimpe/brickr
    My ShinyLEGO app: rpodcast.shinyapps.io/shinylego/


    Community News Highlights


    Powered by R Weekly issue 2019-11
    R 3.5.3 now available: blog.revolutionanalytics.com/2019/03/r-353-now-available.html
    R Consortium 2019 Update: www.r-consortium.org/blog/2019/03/12/2019-update-one-r-consortium-and-isc-announce-the-newest-funded-projects-for-the-r-community


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page
    Leave a voicemail at +1-269-849-9780


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 57 Min.
    Tidymodels with Max Kuhn

    Tidymodels with Max Kuhn

    Conversation with Max Kuhn


    Tidy models: github.com/tidymodels
    parsnip - A tidy interface to models: tidymodels.github.io/parsnip/
    caret package: topepo.github.io/caret/index.html
    Conventions for R Modeling Packages: tidymodels.github.io/model-implementation-principles/


    Additional rstudio::conf gems


    Empowering a data team with RStudio addins (Hao Zhu): resources.rstudio.com/rstudio-conf-2019/empowering-a-data-team-with-rstudio-addins
    pak: A fresh approach to package installation: pak.r-lib.org/
    Gabor Csardi's rstudio::conf presentation: resources.rstudio.com/rstudio-conf-2019/pkgman-a-fresh-approach-to-package-installation
    Democratizing R with Plumber APIs (James Blair): resources.rstudio.com/rstudio-conf-2019/democratizing-r-with-plumber-apis
    Configuration management tools for the R admin (Kelly O'Briant): resources.rstudio.com/rstudio-conf-2019/configuration-management-tools-for-the-r-admin
    The lazy and distracted report writer - using rmarkdown and parameterised reports (Mike K Smith): resources.rstudio.com/rstudio-conf-2019/the-lazy-and-easily-distracted-report-writer-using-rmarkdown-and-parameterised-reports
    Modernizing the Clinical Trial Analysis Pipeline with R and JavaScript: github.com/RhoInc/RStudioConf2019-ePoster/


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page
    Leave a voicemail at +1-269-849-9780


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 1 Std. 6 Min.
    Get the {gt} Tables!

    Get the {gt} Tables!

    In this episode I share the advice and tips I used to prepare my talk on Shiny Modules at rstudio::conf 2019. Plus I sit down with RStudio software engineer Rich Iannone to learn about his journey from atmospheric science to creating a collection of awesome R packages like DiagrammeR and gt for creating tables with a tidy syntax. As always thank you so much for listening and hope you enjoy this episode!


    Conversation with Rich Iannone


    DiagrammeR package: visualizers.co/diagrammer/
    gt package: gt.rstudio.com/
    blastula package: github.com/rich-iannone/blastula


    Preparing for the Shiny Modules talk


    Karl Browman's rstudio::conf 2019 resources repo: github.com/kbroman/RStudioConf2019Slides
    Slides: bit.ly/modules2019
    Recording: resources.rstudio.com/rstudio-conf-2019/effective-use-of-shiny-modules-in-application-development
    Communication between modules article: shiny.rstudio.com/articles/communicate-bet-modules.html
    Ames Housing Explorer application: gallery.shinyapps.io/ames-explorer
    shinypod package by Ian Lyttle: github.com/ijlyttle/shinypod
    shinysense package by Nick Strayer: github.com/nstrayer/shinysense
    Giving your first data science talk by Emily Robinson: hookedondata.org/giving-your-first-data-science-talk/
    The Unreasonable Effectiveness of Public Work (David Robinson): slides and recording


    Additional resources


    Tips on designing hex stickers for R packages (Hao Zhu): zhuhao.org/post/tips-on-designing-a-hex-sticker-for-rstats-packages/


    Feedback


    Leave a comment on this episode's post
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page
    Leave a voicemail at +1-269-849-9780


    Music Credits


    Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org

    • 50 Min.

Top‑Podcasts in So geht’s

Zuhörer haben auch Folgendes abonniert: