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library(shiny)
library(plotly)
ui <- fluidPage(
plotlyOutput("plot")
)
server <- function(input, output, session) {
p <- ggplot(txhousing) +
geom_line(aes(date, median, group = city))
output$plot <- renderPlotly({
ggplotly(p, dynamicTicks = TRUE) %>%
rangeslider()
})
observeEvent(event_data("plotly_relayout"), {
d <- event_data("plotly_relayout")
# unfortunately, the data structure emitted is different depending on
# whether the relayout is triggered from the rangeslider or the plot
xmin <- if (length(d[["xaxis.range[0]"]])) d[["xaxis.range[0]"]] else d[["xaxis.range"]][1]
xmax <- if (length(d[["xaxis.range[1]"]])) d[["xaxis.range[1]"]] else d[["xaxis.range"]][2]
if (is.null(xmin) || is.null(xmax)) return(NULL)
# compute the y-range based on the new x-range
idx <- with(txhousing, xmin <= date & date <= xmax)
yrng <- extendrange(txhousing$median[idx])
plotlyProxy("plot", session) %>%
plotlyProxyInvoke("relayout", list(yaxis = list(range = yrng)))
})
yRange <- range(txhousing$median, na.rm = TRUE)
observeEvent(event_data("plotly_doubleclick"), {
plotlyProxy("plot", session) %>%
plotlyProxyInvoke("relayout", list(yaxis = list(range = yRange)))
})
}
shinyApp(ui, server)
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