我无法访问表格对象＆＃34; chartMatrix＆＃34;来自 server.R 中的 ui.R 。运行时的输出是：找不到对象。我认为它无法访问server.R中的对象。 此外，如果可以访问该对象，我将如何根据滑块访问每个行元素。请帮我。
ui.R文件：
# shinydashboard makes it easy to use Shiny to create dashboards
# shinydashboard requires Shiny 0.11 or above
#First Selecting the shiny Dashboard
library(shiny)
library(shinydashboard)
library(openxlsx)
library(ggplot2)
FileNames <- list.files("ExcelSheets/")
countDays <- length(FileNames)
positive = 0
neutral = 0
negative = 0
countTweets = 0
positiveTweets = ""
negativeTweets = ""
neutralTweets = ""
p = 1
nu = 1
ng = 1
for (i in seq(1, length(FileNames)))
{
excelSheetData = read.xlsx(paste0("ExcelSheets/", FileNames[i]), startRow = 0, colNames = TRUE, detectDates = TRUE)
countRows <- dim(excelSheetData)
countRows <- countRows[1]
rows <- countRows
countTweets = countTweets + rows
data = excelSheetData[, c("polarity", "polarity_confidence", "Text")]
positiveCount = 0
negativeCount = 0
neutralCount = 0
for (j in seq(1, rows))
{
if(data[j, 1] == "positive")
{
positive = positive + data[j, 2]
positiveTweets = paste0(positiveTweets, paste0(paste(paste0(p, ":"), data[j,3]), "<br><br>"))
positiveCount = positiveCount + 1
p = p + 1
}
else if(data[j, 1] == "negative")
{
negative = negative + data[j, 2]
negativeTweets = paste0(negativeTweets, paste0(paste(paste0(ng, ":"), data[j,3]), "<br><br>"))
negativeCount = negativeCount + 1
ng = ng + 1
}
else if(data[j, 1] == "neutral")
{
neutral = neutral + data[j, 2]
neutralTweets = paste0(neutralTweets, paste0(paste(paste0(nu, ":"), data[j,3]), "<br><br>"))
neutralCount = neutralCount + 1
nu = nu + 1
}
}
if(!exists("chartMatrix"))
chartMatrix <- c(positiveCount, neutralCount, negativeCount)
else
chartMatrix <- c(chartMatrix, c(positiveCount, neutralCount, negativeCount))
}
total <- (positive + negative) + neutral
positivePercent <- round((positive * 100) / total)
negativePercent <- round((negative * 100) / total)
neutralPercent <- round((neutral * 100) / total)
countVect = c(positive, neutral, negative)
chartMatrix <- matrix(chartMatrix, ncol=3, byrow=TRUE)
colnames(chartMatrix) <- c("Positive", "Neutral", "Negative")
chartMatrix <- as.table(chartMatrix)
shinyUI(dashboardPage(
dashboardHeader(title = "Sentiment Analysis"),
dashboardSidebar(
sidebarMenu(
menuItem("Dashboard", tabName = "dashboard", icon = icon("dashboard")),
menuItem("Tweets", icon = icon("twitter"),
menuSubItem("Positive Tweets", tabName = "pTweets", icon = icon("thumbs-up")),
menuSubItem("Neutral Tweets", tabName = "neuTweets", icon = icon("hand-spock-o")),
menuSubItem("Negative Tweets", tabName = "negTweets", icon = icon("thumbs-down"))
),
menuItem("Charts", tabName = "Charts", icon = icon("twitter"))
)
),
## Body content
dashboardBody(
tabItems(
# First tab content
tabItem(tabName = "dashboard",
div(class = "titleText", h2(HTML("<center><b>Sentiment Analysis</b> of Twitter Tweets using <i>RapidMinor</i> and <i>Shiny Dashboard</i>.</center>"))),
div(class = "Author", h5(HTML("<center>- By Rushabh Wadkar & Ankit Agarwal.</center><br>"))),
fluidRow(
valueBox(countTweets, "Total Number of Tweets Analyzed in the competition", icon = icon("twitter"), width = 6),
valueBox(countDays, "Number of Days ", icon = icon("calendar-check-o"), width = 6, color = "yellow")
),
fluidRow(
infoBox("Positive", paste(positivePercent, "%"), icon = icon("thumbs-up"), width = 4, fill = TRUE, color = "green"),
infoBox("Neutral", paste(neutralPercent, "%"), icon = icon("hand-spock-o"), width = 4, fill = TRUE, color = "light-blue"),
infoBox("Negative", paste(negativePercent, "%"), icon = icon("thumbs-down"), width = 4, fill = TRUE, color = "red")
)
),
# Positive Tweets tab content
tabItem(tabName = "pTweets",
h2(HTML("<center><b><span style='color: green'>Positive</span> Tweets <i>#Brexit</i></b></center>")),
h4(HTML(positiveTweets))
),
# Neutral Tweets tab content
tabItem(tabName = "neuTweets",
h2(HTML("<center><b><span style='color: blue'>Neutral</span> Tweets <i>#Brexit</i></b></center>")),
h4(HTML(neutralTweets))
),
# Negative Tweets tab content
tabItem(tabName = "negTweets",
h2(HTML("<center><b><span style='color: red'>Negative</span> Tweets <i>#Brexit</i></b></center>")),
h4(HTML(negativeTweets))
),
#charts
tabItem(tabName = "Charts",
h2(HTML("<center><b><span style='color: orange; font-size: 40px;'>C</span>harts</b></center>")),
HTML("<hr style='border-width: 3px; border-color: black'>"),
br(),
br(),
br(),
fluidRow(
column(3, offset = 1,
h4(HTML("<b>Select the Date</b>")),
#sliderInput('dateSlider', 'Dates',min=1, max=nrow(dataset), value=min(1000, nrow(dataset)), step=500, round=0),
#sliderInput('dateSlider', 'Dates', min=1, max = nrow())
br(),
sliderInput(inputId = 'dateSlider', "Date Slider", 09, 20, 09, step=1, animate=TRUE),
br(),
tableOutput('tableChart')
)
)
)
)
)
))
Server.R文件：
# This is the server logic for a Shiny web application.
# You can find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com
#
library(shiny)
library(shinydashboard)
shinyServer(function(input, output) {
output$tableChart <- renderTable(chartMatrix)
})
答案 0 :(得分：0)
无法在server.R和ui.R之间直接访问R对象。有3个选项：
global.R input$和output$函数renderObject和objectOutput来回传递它们
server.R和ui.R内单独创建。我很少使用第三种选择，因为它不是很优雅，但可以胜任。