Im using the following code on shiny. I want to be able to download the table and the plot
Create data set from clicks in Shiny ggplot
The code itself works fine but in having trouble figuring out how to download the table and the plot.
library(shiny)
library(ggplot2)
ui <- pageWithSidebar(
headerPanel("Example"),
sidebarPanel(
radioButtons("color", "Pick Color", c("Pink", "Green", "Blue")),
selectInput("shape", "Select Shape:", c("Circle", "Triangle"))
),
mainPanel(
fluidRow(column(width = 6,
h4("Click plot to add points"),
actionButton("rem_point", "Remove Last Point"),
plotOutput("plot1", click = "plot_click")),
column(width = 6,
h4("Table of points on plot"),
tableOutput("table")))
)
)
server = function(input, output){
## 1. set up reactive dataframe ##
values <- reactiveValues()
values$DT <- data.frame(x = numeric(),
y = numeric(),
color = factor(),
shape = factor())
## 2. Create a plot ##
output$plot1 = renderPlot({
ggplot(values$DT, aes(x = x, y = y)) +
geom_point(aes(color = color,
shape = shape), size = 5) +
lims(x = c(0, 100), y = c(0, 100)) +
theme(legend.position = "bottom") +
# include so that colors don't change as more color/shape chosen
scale_color_discrete(drop = FALSE) +
scale_shape_discrete(drop = FALSE)
})
## 3. add new row to reactive dataframe upon clicking plot ##
observeEvent(input$plot_click, {
# each input is a factor so levels are consistent for plotting characteristics
add_row <- data.frame(x = input$plot_click$x,
y = input$plot_click$y,
color = factor(input$color, levels = c("Pink", "Green", "Blue")),
shape = factor(input$shape, levels = c("Circle", "Triangle")))
# add row to the data.frame
values$DT <- rbind(values$DT, add_row)
})
## 4. remove row on actionButton click ##
observeEvent(input$rem_point, {
rem_row <- values$DT[-nrow(values$DT), ]
values$DT <- rem_row
})
## 5. render a table of the growing dataframe ##
output$table <- renderTable({
values$DT
})
}
shinyApp(ui, server)
The values$DT
in the rendertable etc is the sticking point as I've no datasetInput()
that are in the shiny examples. The problem is that the table and plot are dynamical and need to be changed similar to this
Download table generated independetly in renderTable output in R shiny
I can't figure out how to change it.