I need to have two plots displayed. The first plot is the main scatter plot. And the second plot must be changed each time one clicks a point in the first plot. So I need the behavior similar to the picture at https://davidgohel.github.io/ggiraph/index.html
To be more precise, each point of the first plot must be associated with the x-limits of the second plot.
I have found an example https://stackoverflow.com/questions/38616790/how-to-display-many-points-from-plotly-click-in-r-shiny and modified it accordingly:
library(ggplot2)
library(plotly)
library(shiny)
ui <- fluidPage(
plotlyOutput("plot1"),
plotlyOutput("plot2")
)
range2=1000000
p1x=runif(10)
p1y=runif(10)
p1t=runif(10)*range2
times=seq(1,range2)
#ys=cumsum(rnorm(range2)/sqrt(range2))
ys=runif(range2)
plot2xlim=c(1000,2000)
p2 <- plot_ly()
p2 <- add_trace(p2, x = times, y = ys, type = "scattergl", mode = "lines",
line = list(width = 1, color = "blue"))
server <- function(input, output, session) {
# make plotly plot
output$plot1 <- renderPlotly({
g <- ggplot()+geom_point(aes(x=p1x,y=p1y))
ggplotly(g)
})
output$plot2 <- renderPlotly({
selpoint <- event_data("plotly_click")$pointNumber[1]+1
plot2xlim <- c(p1t[selpoint]-500,p1t[selpoint]+500)
p2 <<- layout(p2, xaxis = list(range = plot2xlim),
yaxis = list(range = c(0, 1)))
p2
})
}
shinyApp(ui, server)
However the code works very-very slowly, since plot2 is built for a huge data. So it takes much time to rebuild it.
Is there a way not to redraw the second plot on each click, but just to change its x-limits?