我可以使用rCharts创建此图表:
library(rCharts)
X <- structure(list(Var1 = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L), .Label = c("1", "2", "3", "4",
"5", "6", "7", "8", "9", "10"), class = "factor"), Var2 = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("control",
"treatment1", "treatment2"), class = "factor"), Freq = c(0L,
0L, 3L, 2L, 6L, 9L, 13L, 36L, 50L, 497L, 0L, 2L, 1L, 3L, 6L,
4L, 11L, 29L, 50L, 499L, 1L, 2L, 0L, 2L, 5L, 6L, 12L, 22L, 63L,
490L)), .Names = c("Var1", "Var2", "Freq"), row.names = c(NA,
-30L), class = "data.frame")
n1<-nPlot(Freq ~ Var1, group = 'Var2', data = X, type = 'multiBarChart')
print(n1)
现在我试图嵌入一个闪亮的应用程序。我可以使用ggplot2做一个闪亮的应用程序,但我不确定如何打印rCharts图。
这是我现在拥有的闪亮代码:
#server.R
library(rCharts)
X <- structure(list(Var1 = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L), .Label = c("1", "2", "3", "4",
"5", "6", "7", "8", "9", "10"), class = "factor"), Var2 = structure(c(1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("control",
"treatment1", "treatment2"), class = "factor"), Freq = c(0L,
0L, 3L, 2L, 6L, 9L, 13L, 36L, 50L, 497L, 0L, 2L, 1L, 3L, 6L,
4L, 11L, 29L, 50L, 499L, 1L, 2L, 0L, 2L, 5L, 6L, 12L, 22L, 63L,
490L)), .Names = c("Var1", "Var2", "Freq"), row.names = c(NA,
-30L), class = "data.frame")
shinyServer(
function(input, output) {
output$histogram <- renderPlot({
# You can access the value of the widget with input$select, e.g.
output$value <- renderPrint({ input$select })
n2 <- nPlot(Freq ~ Var1, group = 'Var2', data = X, type = 'multiBarChart')
n2$set(dom = "histogram")
return(n2)
})
}
)
#ui.R
shinyUI(fluidPage(
titlePanel("Quiz 3 grades distribution"),
sidebarLayout(
sidebarPanel(
helpText("Quiz 3 grade distribution by treatment group"),
selectInput("select", label = h3("Select box"),
choices = list("All" = 0, "Not Perfect" = 1, "Perfect" = 2),
selected = 0)
),
mainPanel(plotOutput("histogram"))
)
))
我做错了什么?谢谢!
答案 0 :(得分:3)
使用renderChart2
和showOutput
在shiny
中显示nvd3图。使用renderChart2
并不需要使用$set(dom = ....
library(rCharts)
library(shiny)
X <- data.frame(Var1 = c(1L, 2L, 3L, 4L, 5L, 6L, 7L,8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L,3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L),
Var2 = structure(c(1L,1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("control","treatment1", "treatment2"), class = "factor"),
Freq = c(0L,0L, 3L, 2L, 6L, 9L, 13L, 36L, 50L, 497L, 0L, 2L, 1L, 3L, 6L, 4L, 11L, 29L, 50L, 499L, 1L, 2L, 0L, 2L, 5L, 6L, 12L, 22L, 63L,490L)
)
runApp(
list(ui = fluidPage(
titlePanel("Quiz 3 grades distribution"),
sidebarLayout(
sidebarPanel(
helpText("Quiz 3 grade distribution by treatment group"),
selectInput("select", label = h3("Select box"),
choices = list("All" = 0, "Not Perfect" = 1, "Perfect" = 2),
selected = 0)
),
mainPanel(
showOutput("histogram","Nvd3")
)
)
),
server = shinyServer(
function(input, output, session) {
output$histogram <- renderChart2({
n2 <- nPlot(Freq ~ Var1, group = 'Var2', data = X, type = 'multiBarChart')
n2
})
}
)
)
)