![]() There are several different frameworks for creating web applications via R, but we’ll focus our attention on linking plotly graphs with shiny – an R package for creating reactive web applications entirely in R. Some concepts useful for the former approach are covered in 18, but this chapter is all about the latter approach. If you need more control, you have at least two more options: add custom JavaScript (covered in Section 18) and/or link views server-side via a web application. Section 16.1 covers an approach to linking views client-side with graphical database queries, but not every linked data view can be reasonably framed as a database query. 19.1 Assignment, subsetting, and iteration.17.2.8 Accumulating and managing event data.16.4.3 Statistical queries with ggplotly().1.3.5 Data visualization best practices.1.1 Why interactive web graphics from R?. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |