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          October 23, 2018 03:36 
        
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  | library(plotly) | |
| library(shiny) | |
| # compute a correlation matrix | |
| correlation <- round(cor(mtcars), 3) | |
| nms <- names(mtcars) | |
| ui <- fluidPage( | |
| mainPanel( | |
| plotlyOutput("heat"), | |
| plotlyOutput("scatterplot") | |
| ), | |
| verbatimTextOutput("selection") | |
| ) | |
| server <- function(input, output, session) { | |
| output$heat <- renderPlotly({ | |
| plot_ly(x = nms, y = nms, z = correlation, | |
| key = correlation, type = "heatmap", source = "heatplot") %>% | |
| layout(xaxis = list(title = ""), | |
| yaxis = list(title = "")) | |
| }) | |
| output$selection <- renderPrint({ | |
| s <- event_data("plotly_click", source = "heatplot") | |
| if (length(s) == 0) { | |
| "Click on a cell in the heatmap to display a scatterplot" | |
| } else { | |
| cat("You selected: \n\n") | |
| as.list(s) | |
| } | |
| }) | |
| output$scatterplot <- renderPlotly({ | |
| s <- event_data("plotly_click", source = "heatplot") | |
| if (length(s)) { | |
| vars <- c(s[["x"]], s[["y"]]) | |
| d <- setNames(mtcars[vars], c("x", "y")) | |
| yhat <- fitted(lm(y ~ x, data = d)) | |
| plot_ly(d, x = ~x) %>% | |
| add_markers(y = ~y) %>% | |
| add_lines(y = ~yhat) %>% | |
| layout(xaxis = list(title = s[["x"]]), | |
| yaxis = list(title = s[["y"]]), | |
| showlegend = FALSE) | |
| } else { | |
| plotly_empty() | |
| } | |
| }) | |
| } | |
| shinyApp(ui, server, options = list(display.mode = "showcase")) | 
  
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