library(ggplot2)
library(Cairo) # For nicer ggplot2 output when deployed on Linux
ui <- fluidPage(
fluidRow(
column(width = 6,
plotOutput("plot1", height = 350,
click = "plot1_click",
brush = brushOpts(
id = "plot1_brush"
)
),
actionButton("exclude_toggle", "Toggle points"),
actionButton("exclude_reset", "Reset")
)
)
)
server <- function(input, output) {
# For storing which rows have been excluded
vals <- reactiveValues(
keeprows = rep(TRUE, nrow(mtcars))
)
output$plot1 <- renderPlot({
# Plot the kept and excluded points as two separate data sets
keep <- mtcars[ vals$keeprows, , drop = FALSE]
exclude <- mtcars[!vals$keeprows, , drop = FALSE]
ggplot(keep, aes(wt, mpg)) + geom_point() +
geom_smooth(method = lm, fullrange = TRUE, color = "black") +
geom_point(data = exclude, shape = 21, fill = NA, color = "black", alpha = 0.25) +
coord_cartesian(xlim = c(1.5, 5.5), ylim = c(5,35))
})
# Toggle points that are clicked
observeEvent(input$plot1_click, {
res <- nearPoints(mtcars, input$plot1_click, allRows = TRUE)
vals$keeprows <- xor(vals$keeprows, res$selected_)
})
# Toggle points that are brushed, when button is clicked
observeEvent(input$exclude_toggle, {
res <- brushedPoints(mtcars, input$plot1_brush, allRows = TRUE)
vals$keeprows <- xor(vals$keeprows, res$selected_)
})
# Reset all points
observeEvent(input$exclude_reset, {
vals$keeprows <- rep(TRUE, nrow(mtcars))
})
}
shinyApp(ui, server)