更新 - 2012 年 12 月 17 日上午 9 点 CDT：示例已更新为演示数据和完整代码。[/更新]。
示例数据： https ://gist.github.com/4318774
描述：
我一直在玩新的 Shiny 包（喜欢它！），但还不明白我在runApp(""). 错误是Error in tag("div", list(...)): argument is missing。
我正在尝试为人口统计数据的图形探索创建一个交互式网络应用程序。我使用以下作为指南：
https ://gist.github.com/4026749
http://rstudio.github.com/shiny/tutorial/
与options(error= recover)，我得到：
Listening on port 8100
Error in tag("div", list(...)) : argument is missing, with no default
Enter a frame number, or 0 to exit
1: runApp("//~~my app~~")
2: tryCatch(while (TRUE) {
serviceApp(ws_env)
}, finally = {
timerCallbacks$clear()
websocket_close(ws_env)
})
3: tryCatchList(expr, classes, parentenv, handlers)
4: serviceApp(ws_env)
5: service(server = ws_env, timeout = timeout)
6: server$static(j, J$wsinfo)
7: handler(ws, header)
8: handler(ws, header)
9: local({
cacheContext$with(function() {
source(filePath, local = new.env(parent = .GlobalEnv))
})
})
10: eval.parent(substitute(eval(quote(expr), envir)))
11: eval(expr, p)
12: eval(expr, envir, enclos)
13: eval(quote({
cacheContext$with(function() {
source(filePath, local = new.env(parent = .GlobalEnv))
})
14: eval(expr, envir, enclos)
15: cacheContext$with(function() {
source(filePath, local = new.env(parent = .GlobalEnv))
})
16: func()
17: source(filePath, local = new.env(parent = .GlobalEnv))
18: withVisible(eval(ei, envir))
19: eval(ei, envir)
20: eval(expr, envir, enclos)
21: ui.R#6: shinyUI(pageWithSidebar(headerPanel("Demographics Web Demo - Eglin Data"), sidebarPanel(textInput("plot.ti
22: force(ui)
23: pageWithSidebar(headerPanel("Demographics Web Demo - Eglin Data"), sidebarPanel(textInput("plot.title", "Title:",
24: bootstrapPage(div(class = "container-fluid", div(class = "row-fluid", headerPanel), div(class = "row-fluid", sideb
25: tagList(importBootstrap(), list(...))
26: div(class = "container-fluid", div(class = "row-fluid", headerPanel), div(class = "row-fluid", sidebarPanel, mainP
27: tags$div(...)
28: tag("div", list(...))
29: div(class = "row-fluid", sidebarPanel, mainPanel)
30: tags$div(...)
31: tag("div", list(...))
32: sidebarPanel(textInput("plot.title", "Title:", "Population Pyramid of Members"), wellPanel(p(strong("Demographic o
33: div(class = "span4", tags$form(class = "well", ...))
34: tags$div(...)
35: tag("div", list(...))
36: tags$form(class = "well", ...)
37: tag("form", list(...))
38: wellPanel(p(strong("Demographic of Interest")), checkboxInput(inputId = "age_dist", label = "Age Distribution", va
39: div(class = "well", ...)
40: tags$div(...)
41: tag("div", list(...))
我尝试调查发生了什么，但 ?checkboxInput 使代码看起来准确。它也几乎是 RStudio 中“股票”示例的直接副本（上面链接的 github）
ui.R/Server.R代码：
ui.R
library(shiny)
shinyUI(pageWithSidebar(
# application title
headerPanel("Demographics Web Demo - Eglin Data"),
# sidebar with controls to allow user to define graphical elements and how
# they want them displayed.
sidebarPanel(
# allow the user to write a plot Title
textInput("plot.title", "Title:", "Population Pyramid of Members"),
# allow the user to determine which demographic they want to plot
wellPanel(
p(strong("Demographic of Interest")),
checkboxInput(inputId = "age_dist", label = "Age Distribution", value = TRUE),
checkboxInput(inputId = "wealth_dist", label = "Household Wealth", value = FALSE),
checkboxInput(inputId = "home_val", label = "Home Value", value = FALSE),
checkboxInput(inputId = "ed_level", label = "Members' Education", value = FALSE),
checkboxInput(inputId = "inc_level", label = "Members' Est. Income", value = FALSE),
checkboxInput(inputId = "h_own", label = "Homeownership", value = FALSE),
),
# allow the user to determine age-bracket size. Input used in plotting
sliderInput("age_cut", "Select Size of Age Brackets:",
min= 3, max= 20, value= 5),
# allow the user to subset their demographics by age range
#sliderInput("age_sub", "Please select the age range you would like to 'zoom-in' on:",
# min= 0, max= 120, value= c(15,65)),
),
# display the appropriate graphics based on the user selections defined
# above.
mainPanel(
h3(textOutput("caption")),
conditionalPanel(condition= "input.age_dist",
plotOutput(outputId= "plot_age")),
conditionalPanel(condition= "input.wealth_dist",
plotOutput(outputId= "plot_wealth")),
conditionalPanel(condition= "input.home_val",
plotOutput(outputId= "plot_home_value")),
conditionalPanel(condition= "input.ed_level",
plotOutput(outputId= "plot_edu")),
conditionalPanel(condition= "input.inc_level",
plotOutput(outputId= "plot_inc")),
conditionalPanel(condition= "input.h_own",
plotOutput(outputId= "plot_h_own"))
)
))
server.R
# require packages
if (!require(ggplot2)) {
stop("This application requires ggplot2. To install it, please run 'install.packages(\"ggplot2\")'.\n")
}
if (!require(plotrix)) {
stop("This application requires plotrix. To install it, please run 'install.packages(\"plotrix\")'.\n")
}
library(shiny)
# load example demo data
load("~~you'll need to load the test data here")
shinyServer(function(input, output) {
# reactive function based on user input for plot title
# This function is automatically called to update the display
output$caption <- reactiveText(function() {
input$plot.title
})
updateAge_f <- reactive(function() {
# re-define age brackets based on user input
demos$age_f <- ordered(cut(demos$age, breaks= c(seq(0, max(demos$age), input$age_cut)),
include.lowest= T))
})
# Generate a plot of the Members' age distribution
output$plot_age <- reactivePlot(function() {
# call to update age factor if needed
updateAge_f()
# develop input vectors
male <- as.vector(table(demos$age_f, demos$female_flag)[,1]/summary(demos$female_flag)[1] * 100)
women <- as.vector(table(demos$age_f, demos$female_flag)[,2]/summary(demos$female_flag)[2] * 100)
# create plot
pyramid.plot(lx= male, rx= women,
labels= levels(demos$age_f),
lxcol= "blue", rxcol= "pink",
main= "Population Pyramid of Members",
gap= 2, labelcex= .75)
})
# generate a plot of members' wealth codes
output$plot_wealth <- reactivePlot(function() {
# call to update age factor if needed
updateAge_f()
if (input$factor_age == TRUE) {
ggplot(demos2, aes(wealth)) + geom_bar() +
facet_wrap(~ age_f, ncol= 3) + theme_bw() +
labs(title= "Wealth of Members by Age Bracket",
y= "Count of Individuals",
x= "Decile of Wealth (by State)") +
theme(axis.text.x= element_text(angle= 90))
} else if (input$factor_age == FALSE) {
ggplot(demos2, aes(wealth)) + geom_bar() +
theme_bw() +
labs(title= "Wealth of Members of your Members",
y= "Count of Individuals",
x= "Decile of Wealth (by State)") +
theme(axis.text.x= element_text(angle= 90))
}
})
# generate a plot of home value of members' properties
output$plot_home_value <- reactivePlot(function() {
# call to update age factor if needed
updateAge_f()
if (input$factor_age == TRUE) {
ggplot(demos2, aes(home_value)) + geom_bar() +
facet_wrap(~ age_f, ncol= 3) + theme_bw() +
labs(title= "Home Value by Age Bracket",
y= "Count of Individuals",
x= "Home Value") +
theme(axis.text.x= element_text(angle= 90))
} else if (input$factor_age == FALSE) {
ggplot(demos2, aes(home_value)) + geom_bar() +
theme_bw() +
labs(title= "Home Value of your Members",
y= "Count of Individuals",
x= "Home Value") +
theme(axis.text.x= element_text(angle= 90))
}
})
# generate a plot of education distribution
output$plot_edu <- reactivePlot(function() {
# call to update age factor if needed
updateAge_f()
if (input$factor_age == TRUE) {
ggplot(demos2, aes(ed_code)) + geom_bar() +
facet_wrap(~ age_f, ncol= 3) + theme_bw() +
labs(title= "Education Level by Age Bracket",
y= "Count of Individuals",
x= "Education Level") +
theme(axis.text.x= element_text(angle= 90))
} else if (input$factor_age == FALSE) {
ggplot(demos2, aes(ed_code)) + geom_bar() +
theme_bw() +
labs(title= "Education Level of your Members",
y= "Count of Individuals",
x= "Education Level") +
theme(axis.text.x= element_text(angle= 90))
}
})
# generate a plot of members' estimated income levels
output$plot_inc <- reactivePlot(function() {
# call to update age factor if needed
updateAge_f()
if (input$factor_age == TRUE) {
ggplot(demos2, aes(inc)) + geom_bar() +
facet_wrap(~ age_f, ncol= 3) + theme_bw() +
labs(title= "Estimated Income by Age Bracket",
y= "Count of Individuals",
x= "Estimated Income Range") +
theme(axis.text.x= element_text(angle= 90))
} else if (input$factor_age == FALSE) {
ggplot(demos2, aes(inc)) + geom_bar() +
theme_bw() +
labs(title= "Estimated Income of your Members",
y= "Count of Individuals",
x= "Estimated Income Range") +
theme(axis.text.x= element_text(angle= 90))
}
})
# generate a plot of members' homeownership
output$plot_h_own <- reactivePlot(function() {
# call to update age factor if needed
updateAge_f()
if (input$factor_age == TRUE) {
ggplot(demos2, aes(homeOwner)) + geom_bar() +
facet_wrap(~ age_f, ncol= 3) + theme_bw() +
labs(title= "Home Ownership by Age Bracket",
y= "Count of Individuals",
x= "Home Owner / Renter") +
theme(axis.text.x= element_text(angle= 90))
} else if (input$factor_age == FALSE) {
ggplot(demos2, aes(homeOwner)) + geom_bar() +
theme_bw() +
labs(title= "Home Ownership of your Members",
y= "Count of Individuals",
x= "Home Owner / Renter") +
theme(axis.text.x= element_text(angle= 90))
}
})
})
任何帮助将不胜感激，仍在努力学习闪亮（像其他人一样）。