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Rstudio summary
Rstudio summary







  1. Rstudio summary code#
  2. Rstudio summary series#
  3. Rstudio summary download#

  • Amelia McNamera posted a cheat sheet comparing R’s dollar sign, formula, and tidyverse syntaxes.
  • Rstudio summary download#

    If you want to download the tweets, Mike Kearney (author of rtweet) shares the data here on his Github. Here’s a Shiny dashboardmade by Garrick Aden-Buie including all the #rstudioconf tweets so you can browse the posts yourself. Moreover, Jenny proposed these useful default settings for knitr:Īnother of Jenny Bryan‘s talks was named Data Rectangling and although you might not get much out of her slides without her presenting them, you should definitely try the associated repurrrsive tutorial if you haven’t done so yet.If you include the below YAML header in your.To upload an existing git directory to GitHub easily, you can usethis::use_github().You can use basename instead of strsplit to get name of file from a path. normalizePath() will make paths work on both windows and mac. If you are not using the here package yet, you are honestly missing out! Alternatively you can use fs::path_home(). For instance, here::here("data","raw-data.csv") loads the raw-data.csv-file from the data folder in your project directory.

    Rstudio summary code#

  • Use stable instead of absolute paths. This allows you to (1) better manage your imports/exports and folders, and (2) allows you to move/share your folders without the code breaking.
  • Restart R often. This ensures your code is still working as intended. Use Shift-CMD-F10 to do so quickly in RStudio.
  • rstudio summary rstudio summary

    It elaborates on her earlier blog on project-oriented workflows, which you should read if you haven’t yet. Jenny Bryan presented on What they forgot to teach you about R, providing some excellent advice on reproducible workflows. One of the workshops deserves an honorable mention. Nevertheless, all other presentations are definitely worth checking out as well!

    rstudio summary

    Rstudio summary series#

    Two people have collected the slides of most rstudio::conf 2018 talks, which you can acces via the Github repo’s of matthewravey and by simecek. People on Twitter have particularly recommended teach the tidyverse to beginners (by David Robinson), the lesser known stars of the tidyverse (by Emily Robinson), the future of time series and financial analysis in the tidyverse (by Davis Vaughan of business-science.io), Understanding Principal Component Analysis (by Julia Silge), and Deploying TensorFlow models (by Javier Luraschi). rstudio::conf 2018 | Machine Learning with R and TensorFlow.rstudio::conf 2018 | Offiical Live Stream Day 2.rstudio::conf 2018 | Official Live Stream.Just browsing through the #rstudioconf Twitter-feed, I already learned so many new things that I decided to dedicate a page to it!įortunately, you can watch the live streams taped during the conference: In 2017, nearly 500 people attended and, last week, 1100 people went to the 2018 edition. Regretfully, I was on holiday in Cardiff and missed out on meeting all my #rstats hero’s. Rstudio::conf is the yearly conference when it comes to R programming and RStudio.









    Rstudio summary