To explore complex patterns in data, simply putting data into a static graph isn't particularly useful. In the big data era, interactive plots demand a lot of time. R has come up with very elegant interactive options:
- click
- double-click
- hover
- brush
- zoom in/out
- selection of area
plotOutput(), like function, provides options to enable these properties to make plots more interactive. Let's explore plotOutput() and use it in our app. Here is the syntax for plotOutput():
plotOutput(outputID,width,height,click=NULL,dbclick=NULL,hover=NULL,hoverDelay=NULL,hoverDelayType=NULL,brush=NULL,clickId=NULL,inline=FALSE)
Let's develop an application that explores the iris dataset and uses some interactive features of plotting:
library(shiny) ...
