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Some Ideas for your Internal R Package · R Views
Some Ideas for your Internal R Package · R Views
At RStudio, I have the pleasure of interacting with data science teams around the world. Many of these teams are led by R users stepping into the role of analytic admins. These users are responsible for supporting and growing the R user base in their organization and often lead internal R user groups. One of the most successful strategies to support a corporate R user group is the creation of an internal R package.
·rviews.rstudio.com·
Some Ideas for your Internal R Package · R Views
Best Practices: Shiny Development - shiny - RStudio Community
Best Practices: Shiny Development - shiny - RStudio Community
My workflow is like below: Plan out the type of app. For a lot of applications, sometimes a htmlwidget in Rmd will do, and covers more cases as time goes on and javascript gets cooler. This is preferable as then you can publish to any server, not needing Shiny. But if it needs more server side interaction, I look at using flexdashboard to keep Rmd elements, but have shiny embedded. If its a big app though, its easier to keep track using a ui.R or a HTML template. I have a HTML template ba...
·community.rstudio.com·
Best Practices: Shiny Development - shiny - RStudio Community
RInno
RInno
·cran.r-project.org·
RInno
Purrr
Purrr
A complete and consistent functional programming toolkit for R.
·purrr.tidyverse.org·
Purrr
ShinyDashboardPlus
ShinyDashboardPlus
extensions for shinydashboard. Contribute to RinteRface/shinydashboardPlus development by creating an account on GitHub.
·github.com·
ShinyDashboardPlus
Programming with dplyr
Programming with dplyr
Most dplyr verbs use "tidy evaluation", a special type of non-standard evaluation. In this vignette, you'll learn the two basic forms, data masking and tidy selection, and how you can program with them using either functions or for loops.
·dplyr.tidyverse.org·
Programming with dplyr
RStudio
RStudio
RStudio provides free and open source tools for R and enterprise-ready professional software for data science teams to develop and share their work at scale.
·rstudio.com·
RStudio
Cheatsheets
Cheatsheets
Open source and enterprise-ready professional software for data science
·rstudio.com·
Cheatsheets
Packages
Packages
Recommended Packages Many useful R function come in packages, free libraries of code written by R's active user community. To install an R package, open an R session and type at the command line in...
·support.rstudio.com·
Packages
The caret Package
The caret Package
Documentation for the caret package.
·topepo.github.io·
The caret Package
Advanced R
Advanced R
·adv-r.had.co.nz·
Advanced R
Upgrade R - Packages
Upgrade R - Packages
Since the first publication of this post, a couple of packages have emerged to automate this process. The installr package for Windows and the updateR package for OS X are particularly good. However, this continues to be a popular post, so I have decid...
·r-bloggers.com·
Upgrade R - Packages
R
R
·cran.cnr.berkeley.edu·
R