从R中的列表中选择许多项
我在Shiny中创建了一个应用程序,我想从下拉菜单中选择多个项目。不幸的是,我不知道如何在给定的菜单选择后减少列表中的项目。所有的线通过它合并成一个整体。我应该在代码中添加什么,以便每个模型都是一个单独的行。下面我放了一张带图表的图片 我的代码:从R中的列表中选择许多项,r,shiny,render,reactive,R,Shiny,Render,Reactive,我在Shiny中创建了一个应用程序,我想从下拉菜单中选择多个项目。不幸的是,我不知道如何在给定的菜单选择后减少列表中的项目。所有的线通过它合并成一个整体。我应该在代码中添加什么,以便每个模型都是一个单独的行。下面我放了一张带图表的图片 我的代码: library(shiny) library(plotly) library(readxl) library(shinyWidgets) library(shinydashboard) library(shinyjs) library(DT) df1
library(shiny)
library(plotly)
library(readxl)
library(shinyWidgets)
library(shinydashboard)
library(shinyjs)
library(DT)
df1 <- data.frame(Month = rep(month.abb[1:12],10,replace = TRUE), Model = paste0('Ferrari ', rep(LETTERS[1:10], each = 12)),
Value = sample(c(0:300),120, replace = T),
Car = rep('Ferrari', 10,each = 12), Year = rep(2019:2020, each = 60),Country = rep(c("USA","DE"), each = 12, times = 5), stringsAsFactors = F)
df2 <- data.frame(Month = rep(month.abb[1:12],10,replace = TRUE), Model = paste0('Porsche ', rep(LETTERS[1:10], each = 12)),
Value = sample(c(0:300),120, replace = T),
Car = rep('Porsche', 10,each = 12), Year = rep(2019:2020, each = 60), Country = rep(c("USA","DE"), each = 12, times = 5),stringsAsFactors = F)
data <-rbind(df1, df2)
ui <- fluidPage(
titlePanel("Test"),
sidebarLayout(
sidebarPanel( width = 3,
uiOutput("category1"),
uiOutput("category2"),
uiOutput("category3"),
uiOutput("category4")),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Plot", plotlyOutput("plot", height = 550,width = 1000))
)
)
)
)
server <- function(input, output,session) {
output$category1 <- renderUI({
selectInput('cat1', 'Choose year:', multiple = T, selected = NULL, choices = sort(as.numeric(unique(data$Year))))
})
df_subset <- eventReactive(input$cat1,{
if(input$cat1=="All") {df_subset <- data}
else{df_subset <- data[data$Year == input$cat1,]}
})
df_subset1 <- reactive({
if(is.null(input$cat2)){df_subset()} else {df_subset()[df_subset()$Country %in% input$cat2,]}
})
output$category2 <- renderUI({
selectInput('cat2', 'Choose country:', choices = sort(as.character(unique(df_subset()$Country))), multiple = T, selected = NULL)
})
df_subset2 <- reactive({
if(is.null(input$cat3)){df_subset1()} else {df_subset1()[df_subset1()$Car %in% input$cat3,]}
})
output$category3 <- renderUI({
selectInput('cat3', 'Choose car:', choices = sort(as.character(unique(df_subset1()$Car))), multiple = F, selected = NULL)
})
df_subset3 <- reactive({
if(is.null(input$cat4)){df_subset2()} else {df_subset2()[df_subset2()$Model %in% input$cat4,]}
})
output$category4 <- renderUI({
pickerInput('cat4', 'Choose model:', choices = sort(as.character(unique(df_subset2()$Model))), multiple = TRUE, selected = NULL)
})
output$plot <- renderPlotly({
xform <- list(categoryorder = "array",
categoryarray = df_subset3()$Month,
title = " ",
nticks=12)
plot_ly(data=df_subset3(), x=~Month, y = ~Value, type = 'scatter', mode = 'lines', name = 'Value') %>%
layout(title = " ",xaxis = xform) %>%
layout(legend = list(orientation = 'h', xanchor = "center", y=1.1, x=0.5))
})
}
shinyApp(ui, server)
要在绘图上将每个模型显示为单独的一行,可以通过以下方式将数据集的模型列指定给绘图的颜色参数:
plot_ly( data = df_subset3(), x = ~Month, y = ~Value, color = ~Model, ...)