更新 - 12/17/2012 9am CDT ：示例已使用演示数据和完整代码进行了更新。的 [/更新]。
示例数据： https://gist.github.com/4318774
说明的
我一直在玩新的Shiny软件包（喜欢它！），但还没有理解我在runApp("")时遇到的错误。错误是Error in tag("div", list(...)): argument is missing。
我正在尝试创建一个交互式网络应用程序，用于人口统计数据的图形化探索。我使用以下作为指南：
https://gist.github.com/4026749
http://rstudio.github.com/shiny/tutorial/
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，但是？checkboxInput使代码看起来很准确。它也几乎是来自RStudio（上面链接的github）的“股票”示例的直接副本
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))
}
})
})
任何帮助都会受到赞赏，仍然试图学习闪亮（和其他人一样）。
答案 0 :(得分：29)
在ui.R中，你不应该在这一行的末尾加上逗号：
sliderInput("age_cut", "Select Size of Age Brackets:",
min= 3, max= 20, value= 5),
此行末尾也不应该有逗号
checkboxInput(inputId = "h_own", label = "Homeownership", value = FALSE),
通常，在节的最后一个组件之后不应该有逗号。就像任何R函数一样，通常不会用逗号结束函数调用。例如sum(5,)会出错。