我正在尝试使用ggvis图和单选按钮创建一个闪亮的应用程序。我有三个由ggvis创建的图。用户可以根据他们选择的无线电选项切换不同的图。
例如,如果用户选择A,则在用户界面上仅显示plot1。如果用户选择B,则绘图切换到plot2。我的问题是我不知道如何使用单选按钮连接图表。我已经挣扎了几个小时。非常感谢你的帮助! 我在下面有一些示例代码。
df <- data.frame(Student = c("a","a","a","a","a","b","b","b","b","b","c","c","c","c"),
year = c(seq(2001,2005,1),seq(2003,2007,1),seq(2002,2005,1)),
col1 = runif(14,min = 50,max = 100),
col2 = runif(14,min = 120,max = 200),
col3 = runif(14,min = 60,max = 200),stringsAsFactors=F)
码:
ui = (fluidPage(
sidebarLayout(
sidebarPanel(
selectInput("stu","Choose Student",
choice = unique(df$Student)),
radioButtons("col","Switch Plot",
choices = c("A", "B","C"),
selected = "A")
),
mainPanel(ggvisOutput("plot1")
))
))
server = function(input,output,session){
dataInput = reactive({
gg = df[which(df$Student == input$stu),]
})
vis1 = reactive({
data = dataInput()
data %>%
ggvis(x = ~year, y = ~col1) %>%
layer_points()
})
vis2 = reactive({
data = dataInput()
data %>%
ggvis(x = ~year, y = ~col2) %>%
layer_lines()
})
vis3 = reactive({
data = dataInput()
data %>%
ggvis(x = ~year, y = ~col3) %>%
layer_bars()
})
vis1 %>% bind_shiny("plot1")
vis2 %>% bind_shiny("plot2")
vis3 %>% bind_shiny("plot3")
}
runApp(list(ui = ui, server = server))
答案 0 :(得分:4)
conditionalPanel
有效!
library(shiny)
library(ggvis)
df <- data.frame(Student = c("a","a","a","a","a","b","b","b","b","b","c","c","c","c"),
year = c(seq(2001,2005,1),seq(2003,2007,1),seq(2002,2005,1)),
col1 = runif(14,min = 50,max = 100),
col2 = runif(14,min = 120,max = 200),
col3 = runif(14,min = 60,max = 200),stringsAsFactors=F)
ui = (fluidPage(
sidebarLayout(
sidebarPanel(
selectInput("stu","Choose Student",
choice = unique(df$Student)),
radioButtons("col","Switch Plot",
choices = c("A", "B","C"),
selected = "A")
),
mainPanel(
conditionalPanel(
condition = "input.col == 'A'", ggvisOutput("plot1")),
conditionalPanel(
condition = "input.col == 'B'", ggvisOutput("plot2")),
conditionalPanel(
condition = "input.col == 'C'", ggvisOutput("plot3"))
)
)
))
server = function(input,output,session){
dataInput = reactive({
gg = df[which(df$Student == input$stu),]
})
vis1 = reactive({
data = dataInput()
data %>%
ggvis(x = ~year, y = ~col1) %>%
layer_points()
})
vis2 = reactive({
data = dataInput()
data %>%
ggvis(x = ~year, y = ~col2) %>%
layer_lines()
})
vis3 = reactive({
data = dataInput()
data %>%
ggvis(x = ~year, y = ~col3) %>%
layer_bars()
})
vis1 %>% bind_shiny("plot1")
vis2 %>% bind_shiny("plot2")
vis3 %>% bind_shiny("plot3")
}
runApp(list(ui = ui, server = server))