图表未使用 Shiny R 和 NVD3 呈现
Chart not rendering with Shiny R and NVD3
我一直在尝试使用 NVD3 库创建一个闪亮的时间序列图。我对 R、Shiny 和 NVD3 比较陌生。问题是当我 运行 ShinyApp 时,浏览器上没有图表呈现。使用 chrome 开发人员工具,我可以看到 myChart 的 div 已创建并填充了数据,但不明白为什么我看不到图表本身。
在此问题上提供任何帮助...
我的代码是这样的:
#ui.R
require(rCharts)
shinyUI(pageWithSidebar(
headerPanel("Population Trend By Age Group:"),
sidebarPanel(
selectInput(inputId = "agegrp",
label = "Choose Agegroup",
choices = c("0-4",
"5-9",
"10-14",
"15-19",
"20-24",
"25-29",
"30-34",
"35-39",
"40-44",
"45-49",
"50-54",
"55-59",
"60-64",
"65-69",
"70-74",
"75-79",
"80-84",
"85+"
),
selected = "0-4")
),
mainPanel(
showOutput("myChart", "nvd3")
)
))
server.R:
#server.R
require(rCharts)
data <- read.csv("https://raw.githubusercontent.com/kilimba/data/master/data2.csv")
agegroup_mapping <- read.csv("https://raw.githubusercontent.com/kilimba/data/master/agegroup.csv")
data <- merge(data,agegroup_mapping,by.x="agegrp",by.y="agegroup")
shinyServer(function(input, output) {
output$myChart <- renderChart({
selection <- subset(data,mapping == input$agegrp)
plot <- nPlot(n ~ year,
data = selection,
type = "lineChart",
group = "sex")
# Add axis labels and format the tooltip
plot$yAxis(axisLabel = "Population", width = 62)
plot$xAxis(axisLabel = "Year")
plot$save("ac.html")
return(plot)
})
})
谢谢,
图迈尼
使用 renderChart2
而不是 renderChart
。
rm(list = ls())
library(shiny)
library(rCharts)
data <- read.csv("https://raw.githubusercontent.com/kilimba/data/master/data2.csv")
agegroup_mapping <- read.csv("https://raw.githubusercontent.com/kilimba/data/master/agegroup.csv")
data <- merge(data,agegroup_mapping,by.x="agegrp",by.y="agegroup")
ui =pageWithSidebar(
headerPanel("Population Trend By Age Group:"),
sidebarPanel(
selectInput(inputId = "agegrp",
label = "Choose Agegroup",
choices = c("0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39",
"40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"),selected = "0-4"),width=2),
mainPanel(
showOutput("myChart", "nvd3")
)
)
server = function(input, output) {
output$myChart <- renderChart2({
#selection <- data[data$mapping == "0-4",]
selection <- data[data$mapping == input$agegrp,]
selection <- subset(data,mapping == input$agegrp)
plot <- nPlot(n ~ year,
data = selection,
type = "lineChart",
group = "sex")
# Add axis labels and format the tooltip
plot$yAxis(axisLabel = "Population", width = 62)
plot$xAxis(axisLabel = "Year")
plot$set(width=1600, height=800)
plot$save("ac.html")
plot
})
}
runApp(list(ui = ui, server = server))
我一直在尝试使用 NVD3 库创建一个闪亮的时间序列图。我对 R、Shiny 和 NVD3 比较陌生。问题是当我 运行 ShinyApp 时,浏览器上没有图表呈现。使用 chrome 开发人员工具,我可以看到 myChart 的 div 已创建并填充了数据,但不明白为什么我看不到图表本身。
在此问题上提供任何帮助... 我的代码是这样的:
#ui.R
require(rCharts)
shinyUI(pageWithSidebar(
headerPanel("Population Trend By Age Group:"),
sidebarPanel(
selectInput(inputId = "agegrp",
label = "Choose Agegroup",
choices = c("0-4",
"5-9",
"10-14",
"15-19",
"20-24",
"25-29",
"30-34",
"35-39",
"40-44",
"45-49",
"50-54",
"55-59",
"60-64",
"65-69",
"70-74",
"75-79",
"80-84",
"85+"
),
selected = "0-4")
),
mainPanel(
showOutput("myChart", "nvd3")
)
))
server.R:
#server.R
require(rCharts)
data <- read.csv("https://raw.githubusercontent.com/kilimba/data/master/data2.csv")
agegroup_mapping <- read.csv("https://raw.githubusercontent.com/kilimba/data/master/agegroup.csv")
data <- merge(data,agegroup_mapping,by.x="agegrp",by.y="agegroup")
shinyServer(function(input, output) {
output$myChart <- renderChart({
selection <- subset(data,mapping == input$agegrp)
plot <- nPlot(n ~ year,
data = selection,
type = "lineChart",
group = "sex")
# Add axis labels and format the tooltip
plot$yAxis(axisLabel = "Population", width = 62)
plot$xAxis(axisLabel = "Year")
plot$save("ac.html")
return(plot)
})
})
谢谢, 图迈尼
使用 renderChart2
而不是 renderChart
。
rm(list = ls())
library(shiny)
library(rCharts)
data <- read.csv("https://raw.githubusercontent.com/kilimba/data/master/data2.csv")
agegroup_mapping <- read.csv("https://raw.githubusercontent.com/kilimba/data/master/agegroup.csv")
data <- merge(data,agegroup_mapping,by.x="agegrp",by.y="agegroup")
ui =pageWithSidebar(
headerPanel("Population Trend By Age Group:"),
sidebarPanel(
selectInput(inputId = "agegrp",
label = "Choose Agegroup",
choices = c("0-4","5-9","10-14","15-19","20-24","25-29","30-34","35-39",
"40-44","45-49","50-54","55-59","60-64","65-69","70-74","75-79","80-84","85+"),selected = "0-4"),width=2),
mainPanel(
showOutput("myChart", "nvd3")
)
)
server = function(input, output) {
output$myChart <- renderChart2({
#selection <- data[data$mapping == "0-4",]
selection <- data[data$mapping == input$agegrp,]
selection <- subset(data,mapping == input$agegrp)
plot <- nPlot(n ~ year,
data = selection,
type = "lineChart",
group = "sex")
# Add axis labels and format the tooltip
plot$yAxis(axisLabel = "Population", width = 62)
plot$xAxis(axisLabel = "Year")
plot$set(width=1600, height=800)
plot$save("ac.html")
plot
})
}
runApp(list(ui = ui, server = server))