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| library(shiny) | |
| library(bslib) | |
| library(dplyr) | |
| library(ggplot2) | |
| df <- readr::read_csv("penguins.csv") | |
| # Find subset of columns that are suitable for scatter plot | |
| df_num <- df |> select(where(is.numeric), -Year) | |
| ui <- page_fillable(theme = bs_theme(bootswatch = "minty"), | |
| layout_sidebar(fillable = TRUE, | |
| sidebar( | |
| varSelectInput("xvar", "X variable", df_num, selected = "Bill Length (mm)"), | |
| varSelectInput("yvar", "Y variable", df_num, selected = "Bill Depth (mm)"), | |
| checkboxGroupInput("species", "Filter by species", | |
| choices = unique(df$Species), selected = unique(df$Species) | |
| ), | |
| hr(), # Add a horizontal rule | |
| checkboxInput("by_species", "Show species", TRUE), | |
| checkboxInput("show_margins", "Show marginal plots", TRUE), | |
| checkboxInput("smooth", "Add smoother"), | |
| ), | |
| plotOutput("scatter") | |
| ) | |
| ) | |
| server <- function(input, output, session) { | |
| subsetted <- reactive({ | |
| req(input$species) | |
| df |> filter(Species %in% input$species) | |
| }) | |
| output$scatter <- renderPlot({ | |
| p <- ggplot(subsetted(), aes(!!input$xvar, !!input$yvar)) + list( | |
| theme(legend.position = "bottom"), | |
| if (input$by_species) aes(color=Species), | |
| geom_point(), | |
| if (input$smooth) geom_smooth() | |
| ) | |
| if (input$show_margins) { | |
| margin_type <- if (input$by_species) "density" else "histogram" | |
| p <- p |> ggExtra::ggMarginal(type = margin_type, margins = "both", | |
| size = 8, groupColour = input$by_species, groupFill = input$by_species) | |
| } | |
| p | |
| }, res = 100) | |
| } | |
| shinyApp(ui, server) | |