Spaces:
Sleeping
Sleeping
File size: 1,655 Bytes
a8722a6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
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_sidebar(
theme = bs_theme(bootswatch = "minty"),
title = "Penguins explorer",
sidebar = 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$yvar)) +
theme_light() +
list(
theme(legend.position = "bottom"),
if (input$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)
|