A guide on How to Embed a Shiny App in a Website(link is external).A series of articles from Shiny by RStudio stepping you through publishing your first app using Shiny(link is external).A tutorial on Building Interactive Web Apps with Shiny,(link is external) by Jeff Oliver in the University Libraries.Here are a few that are particularly useful. There are many useful guides and tutorials online. Connect and ask questions to other R-users on the UA Data Science Slack Workspace(link is external) (see the #r and #r-help channels).Reach out to one of the campus Data Science Ambassadors.The Data Science Team in the College of Agriculture, Life & Environmental Sciences (CALES) offers office hours, workshops and research support.Jeff Oliver in the University Libraries offers R Programming Help and Workshops.There are several options for on-campus, in-person support. REQUEST ACCESS TO RSTUDIO CONNECT RStudio Connect is offered to the UArizona Campus through funding from UA Strategic Initiative: UAHS 5.3 - Health Analytics Powerhouse. Users needing greater compute power or large amounts of local storage should consider using the UA High Performance Computing System or CyVerse. Rstudio Connect is provided for distribution of lightweight apps.Requests should be made if viewing of the published materials needs to be limited or restricted. The expectation is that all published apps should be set to be publicly viewable.It is not to be utilized for course assignments. Faculty and students wanting to publish in relation to course activities should first use the public Shiny App services (see ). Publishing via RStudio Connect is for research purposes.It is recommended that research groups designate one, at most two, users to be responsible for publishing materials on behalf of the lab group. Seat assignments will be reviewed each semester and sponsoring faculty may be asked about renewals. There are a limited number of RStudio Connect user seats available to campus.(Faculty and research staff may sponsor themselves.) ![]() Applicants must have a faculty member or research staff member as a sponsor.Access to RStudio Connect is restricted to faculty, staff and students of the University of Arizona. ![]() Rstudio Connect can even be automated to update your content whenever you submit a commit to Git. Share Shiny applications, R Markdown reports, dashboards, plots, models, Jupyter Notebooks, and more. RStudio Connect is a standalone publishing platform for the work your teams create in R or Python. The RStudio environment links to RStudio Connect to enable users to share their research findings to others. RStudio® offers an open-source, development environment for users to perform data analysis on their local workstation. RStudio® and RStudio Connect make data analysis easier and provides powerful tools for sharing a spectrum of data products, static or dynamic, developed in R and Python: Dashboards, applications, APIs, reports, and so much more.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |