【发布时间】：2017-10-15 09:55:47
【问题描述】：
我正在做一些时间序列分析，并创建了一个闪亮的应用程序，当应用程序启动时，样本时间序列数据被上传，或者用户可以从他的本地目录上传 csv 数据集....
样本数据集：
df
month passengers
1 01-01-2000 2072798
2 01-02-2000 2118150
3 01-03-2000 2384907
4 01-04-2000 2260620
5 01-05-2000 2386165
6 01-06-2000 2635018
7 01-07-2000 2788843
8 01-08-2000 2942082
9 01-09-2000 2477000
10 01-10-2000 2527969
11 01-11-2000 2161170
12 01-12-2000 2175314
13 01-01-2001 2307525
14 01-02-2001 2196415
15 01-03-2001 2545863
library(signal)
library(shiny)
library(AnomalyDetection) #devtools::install_github("twitter/AnomalyDetection")
library(ggplot2)
# Define UI for application that draws a histogram
library(shinydashboard)
library(shinycssloaders)
library(googleVis)
shinyUI(dashboardPage(skin = "green",
dashboardHeader(title = "Anomaly Detection in Time series",
titleWidth = 350),
dashboardSidebar(
sidebarUserPanel("Nishant Upadhyay",
image = "nishantcofyshop.jpg"
),
sidebarMenu(
menuItem("Data", tabName = "data", icon = icon("database")),
menuItem("Filters", tabName = "filter", icon = icon("filter")),
menuItem("Anomalies", tabName = "anomaly", icon = icon("check")),
#menuItem("Save Data", tabName = "save", icon = icon("save"))
menuItem("About The App", tabName = "Help", icon = icon("info-circle"))
)
),
dashboardBody(
tabItems(
tabItem(tabName = "data",
fluidRow(
box(
title = "Data scatter Chart",
status = "primary",
solidHeader = T,
collapsible = T,
width = 12,
shinycssloaders::withSpinner(htmlOutput("dataChart"),type = getOption("spinner.type", default = 8),color = "red")
)
),
fluidRow(
box(
radioButtons(
"data_input","",
choices = list("Load sample data" = 1,
"Upload csv file" = 2
)
),
conditionalPanel(
condition = "input.data_input=='1'",
h5("Sample dataset of Lebron James basketball shots over the years")
),
conditionalPanel(
condition = "input.data_input=='2'",
fileInput('file1', 'Choose file to upload',
accept = c(
'text/csv',
'text/comma-separated-values',
'text/tab-separated-values',
'text/plain',
'.csv',
'.tsv'
)),
checkboxInput('header', 'Header', TRUE),
radioButtons('sep', 'Separator',
c(Comma=',',
Semicolon=';',
Tab='\t'),','),
radioButtons('quote', 'Quote',
c('None'='',
'Double Quote'='"',
'Single Quote'="'"),
'')
),
title = "Select Dataset",
status = "info",
solidHeader = T,
collapsible = T
),
box(
title = "Data",
status = "info",
solidHeader = T,
collapsible = T,
shinycssloaders::withSpinner(htmlOutput('contents'),type = getOption("spinner.type", default = 8),color = "red")
)# end of box
)## end of Fluid row
), ## end of tab item
tabItem(
tabName = "filter",
fluidRow(
box(
title = "Data Chart",
status = "primary",
solidHeader = T,
collapsible = T,
width = 12,
shinycssloaders::withSpinner(htmlOutput('dataChartFiltered'),type = getOption("spinner.type", default = 8),color = "red")
)
),
fluidRow(
box(
title = "Filters",
status = "info",
solidHeader = T,
collapsible = T,
width = 4,
radioButtons("filt", NULL,
c("None" = "none",
"Butterworth" = "butt",
"Type-II Chebyshev" = "cheby2")),
submitButton("Filter")
),
box(
title = "Butterworth",
status = "info",
solidHeader = T,
collapsible = T,
width = 4,
textInput("buttern", label = "Filter Order", value = "3"),
textInput("butterf", label = "Critical Frequencies", value = "0.1"),
radioButtons("buttert", "Type",
c("Low-Pass" = "low",
"High-Pass" = "high"))
),
box(
title = "Chebyshev",
status = "info",
solidHeader = T,
collapsible = T,
width = 4,
textInput("chebyn", label = "Filter Order", value = "5"),
textInput("chebyd", label = "dB of Pass Band", value = "20"),
textInput("chebyf", label = "Critical Frequencies", value = "0.2"),
radioButtons("chebyt", "Type",
c("Low-Pass" = "low",
"High-Pass" = "high"))
)
)
)
) ## end of tab items
) ## end of Dashboard
)
)
shinyServer(function(input, output){
dataframe<-reactive({
if (input$data_input == 1) {
tab <- read.csv("df.csv",header = T,stringsAsFactors = F)
} else if (input$data_input == 2) {
inFile <- input$file1
if (is.null(inFile))
return(data.frame(x = "Select your datafile"))
tab = read.csv(inFile$datapath, header = input$header,
sep = input$sep, quote = input$quote)
}
tt <- tryCatch(as.POSIXct(tab[,1]),error=function(e) e, warning=function(w) w)
if (is(tt,"warning") | is(tt,"error")) {
tab$Old = tab[,1]
tab[,1] = as.POSIXct(1:nrow(tab), origin = Sys.time())
} else {
tab[,1] = as.POSIXct(tab[,1])
}
tab
})
output$dataChart <- renderGvis({
if (!is.null(dataframe()))
gvisLineChart(dataframe()[,c(1,2)], xvar = colnames(dataframe())[1], yvar = colnames(dataframe())[2],
options = list(
crosshair.trigger = 'selection',
enableInteractivity = TRUE,
hAxis.maxTextLines = 10,
tooltip.trigger = 'none'
))
})
output$contents <- renderGvis({
if (!is.null(dataframe()))
gvisTable(dataframe(),
options = list(page='enable'))
})
output$dataChartFiltered <- renderGvis({
if (input$filt == "none") {
return(NULL)
} else if (input$filt == "butt") {
bf <- butter(as.numeric(input$buttern), as.numeric(input$butterf), type = input$buttert)
filtered = data.frame(timestamp = dataframe()[,1],
count = as.numeric(filter(bf, dataframe()[,2])))
gvisLineChart(filtered, xvar = colnames(filtered)[1], yvar = colnames(filtered)[2],
options = list(
crosshair.trigger = 'selection',
enableInteractivity = TRUE,
hAxis.maxTextLines = 10,
tooltip.trigger = 'none'
))
} else if (input$filt == "cheby2") {
ch <- cheby2(as.numeric(input$chebyn), as.numeric(input$chebyd),
as.numeric(input$chebyf), type = input$chebyt)
filtered = data.frame(timestamp = dataframe()[,1],
count = as.numeric(filter(ch, dataframe()[,2])))
gvisLineChart(filtered, xvar = colnames(filtered)[1], yvar = colnames(filtered)[2],
options = list(
crosshair.trigger = 'selection',
enableInteractivity = TRUE,
hAxis.maxTextLines = 10,
tooltip.trigger = 'none'
))
}
})
})
我面临的问题是，一旦执行了闪亮的应用程序，样本数据就会正确加载，因为这些数据被放置在目录中的应用程序文件夹中（可以使用 R 内置数据集或使用我提供的数据开始时），随后所有步骤都会正确执行。
但是，如果我想从本地目录上传一些其他 csv 文件，即使选择它后，上传按钮选择也不会被激活。但是，事实上，如果转到侧边栏面板中的第二个菜单项，即过滤选项卡并单击过滤器按钮（在过滤器框下），然后如果我再次返回侧边栏面板中的数据菜单，我可以看到现在我的上传 csv 文件按钮已被激活，现在我可以浏览本地目录中的 csv 文件并将其上传到应用程序中，现在一切正常。
似乎某处导致上传文件按钮在应用打开时最初没有激活......
需要帮助解决问题...抱歉发布大量代码...
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