介绍:Shiny 是一个开源 R 包,它提供了一个优雅而强大的 Web 框架,用于使用 R 构建 Web 应用程序。Shiny 可以帮助您将分析转变为交互式 Web 应用程序,而无需 HTML、CSS 或 JavaScript 知识。
# download R package
pkgtest <- function(x){
if(x %in% rownames(installed.packages()) == FALSE){
install.packages(x,dependencies = TRUE)
}
library(x,character.only = TRUE)
}
neededpackages <- c("shiny","dplyr","plotly","readxl","DT","ggExtra")
for(package in neededpackages){pkgtest(package)}
library(shiny)
library(bslib)
library(dplyr)
library(ggplot2)
library(ggExtra)
penguins_csv <- "E:\\BaiduSyncdisk\\A-Area longtime\\R language\\Niche\\temp_data.csv"
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(
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$yvar)) + list(
theme(legend.position = "bottom"),
if (input$by_species) aes(color = Species),
geom_point(),
if (input$smooth) geom_smooth()
)
if (input$show_margins) {
margin_type <- if (input$by_species) "density" else "histogram"
p <- ggExtra::ggMarginal(p, type = margin_type, margins = "both",
size = 8, groupColour = input$by_species, groupFill = input$by_species)
}
p
}, res = 100)
}
shinyApp(ui, server)
所需要的资料下载:https://download.csdn.net/download/qq_45697428/89440340
运行的结果:
在这个框架下可以调整XY轴的内容