如标题中所述，我正在尝试使用R中的Shiny创建一个程序，该程序读取用户上传的csv文件，然后用户可以从该文件中选择一个变量以查看绘制的图通过ggplot。我正在尝试通过两个选项卡实现此目的，第一个选项卡将读取文件，第二个选项卡将使用户选择变量以查看图。
我的代码如下。当前，我能够成功读取用户的文件，但无法基于所选变量进行绘图（我目前仅具有1个变量“ Location”用于演示）。 （HomeWTaxAmt是要绘制的y变量。）
library(shiny)
library(ggplot2)
library(data.table)
library(RColorBrewer)
options(scipen=1000)
ui <- fluidPage(
navbarPage("User Interface:",tabPanel("Upload",
titlePanel("Uploading Files"),
sidebarLayout(
sidebarPanel(
fileInput("file1", "Choose CSV File",
multiple = TRUE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv")),
tags$hr(),
checkboxInput("header", "Header", TRUE),
radioButtons("sep", "Separator",
choices = c(Comma = ",",
Semicolon = ";",
Tab = "\t"),
selected = ","),
tags$hr(),
radioButtons("disp", "Display",
choices = c(Head = "head",
All = "all"),
selected = "head"),
radioButtons("quote", "Quote",
choices = c(None = "",
"Double Quote" = '"',
"Single Quote" = "'"),
selected = '"')),
mainPanel(
verbatimTextOutput("summary"),
tableOutput("contents")
))),
tabPanel("Graphing",
titlePanel("Plotting Graphs"),
sidebarLayout(
sidebarPanel(
selectInput("variable", "Variable:",
list("Location"))),
mainPanel(
h3(textOutput("caption")),
plotOutput("ggplot")
)
))
))
server <- function(input, output) {
output$contents <- renderTable({
req(input$file1)
library(data.table)
data <- fread(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
if(input$disp == "head") {
return(head(data))
}
else {
return(data)
}
})
output$summary <- renderPrint({
summary(data)
})
formulaText <- reactive(function() {
paste("HomeWTaxAmt ~", input$variable)
})
output$caption <- renderText(function() {
formulaText()
})
output$ggplot <- renderPlot(function() {
data <- fread(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
if(is.null(data)) return(NULL)
# check for the input variable
ggplot(data, aes(x=reorder(factor(data[input$variable]), -abs(HomeWTaxAmt), function(x){sum(x)}),
weight = abs(HomeWTaxAmt), fill = factor(data[input$variable]))) + geom_bar(show.legend=FALSE) + xlab(input$variable) +
scale_fill_manual(values=brewer.pal(n = 12, name = "Paired"))
})
}
shinyApp(ui, server)
答案 0 :(得分：1)
稍微修改了您的代码，希望对您有所帮助。
library(shiny)
library(ggplot2)
ui <- fluidPage(
navbarPage("User Interface:",tabPanel("Upload",
titlePanel("Uploading Files"),
sidebarLayout(
sidebarPanel(
fileInput("file1", "Choose CSV File",
multiple = TRUE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv")),
tags$hr(),
checkboxInput("header", "Header", TRUE),
radioButtons("sep", "Separator",
choices = c(Comma = ",",
Semicolon = ";",
Tab = "\t"),
selected = ","),
tags$hr(),
radioButtons("disp", "Display",
choices = c(Head = "head",
All = "all"),
selected = "head"),
radioButtons("quote", "Quote",
choices = c(None = "",
"Double Quote" = '"',
"Single Quote" = "'"),
selected = '"')),
mainPanel(
verbatimTextOutput("summary"),
tableOutput("contents")
))),
tabPanel("Graphing",
titlePanel("Plotting Graphs"),
sidebarLayout(
sidebarPanel( uiOutput("variable_x"),
uiOutput("variable_y")),
mainPanel(
h3(textOutput("caption")),
plotOutput("plot")
)
))
))
server <- function(input, output, session) {
onSessionEnded(stopApp)
data <- reactive({
req(input$file1)
df <- read.csv(input$file1$datapath, header = input$header, sep = input$sep, quote = input$quote)
return(df)
})
output$contents <- renderTable({
if (input$disp == "head") {
return(head(data()))
}
else {
return(data())
}
})
output$summary <- renderPrint({
summary(data())
})
output$variable_x <- renderUI({
selectInput("variableNames_x", label = "Variable_X", choices = names(data()))
})
output$variable_y <- renderUI({
selectInput("variableNames_y", label = "Variable_Y", choices = names(data()) )
})
dat <- reactive({
test <- data.frame(data()[[input$variableNames_x]], data()[[input$variableNames_y]])
colnames(test) <- c("X", "Y")
return(test)
})
output$plot <- renderPlot({
if (is.null(data)) { return(NULL)
} else {
ggplot(dat(),aes(x = X,y = Y)) + geom_point(colour = 'red',height = 400,width = 600) +
labs(y = input$variableNames_y,
x = input$variableNames_x,
title = "ggplot")
}
})
}
shinyApp(ui, server)
注意：我已经更改了您的ggplot函数，但是您可以根据需要进行更改。
答案 1 :(得分：0)
由于我无权访问您确切的.csv文件，因此我不得不对plotting命令进行一些调整，但是我很确定您可以从那里开始使用它来处理您的数据。请注意，现在不加载.csv文件会在第一个标签上给您带来错误，该错误会在加载数据后立即消失。您可能要在此处使用一些ifelse开关，以确保最终用户不必看到这些R错误。
以下是根据我拥有的一些样本数据按预期绘制图表的代码：
library(shiny)
library(ggplot2)
library(data.table)
library(RColorBrewer)
options(scipen=1000)
#XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
# I didn't change anything in this section
ui <- fluidPage(
navbarPage("User Interface:",tabPanel("Upload",
titlePanel("Uploading Files"),
sidebarLayout(
sidebarPanel(
fileInput("file1", "Choose CSV File",
multiple = TRUE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv")),
tags$hr(),
checkboxInput("header", "Header", TRUE),
radioButtons("sep", "Separator",
choices = c(Comma = ",",
Semicolon = ";",
Tab = "\t"),
selected = ","),
tags$hr(),
radioButtons("disp", "Display",
choices = c(Head = "head",
All = "all"),
selected = "head"),
radioButtons("quote", "Quote",
choices = c(None = "",
"Double Quote" = '"',
"Single Quote" = "'"),
selected = '"')),
mainPanel(
verbatimTextOutput("summary"),
tableOutput("contents")
))),
tabPanel("Graphing",
titlePanel("Plotting Graphs"),
sidebarLayout(
sidebarPanel(
selectInput("variable", "Variable:",
list("Location"))),
mainPanel(
h3(textOutput("caption")),
plotOutput("ggplot")
)
))
))
#XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
server <- function(input, output, session) { # make sure to include "session" here, in order to update your inputs later
# create an reactive upload to access your data more quickly and easily
reactive_data <- reactive({
print(input$file1$datapath)
data <- fread(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
return(data)
})
# preview
# no library(data.table) required here, as its already loaded at the beginning of the script)
output$contents <- renderTable({
# load your data
data <- reactive_data()
if(input$disp == "head") {
return(head(data))
}
else {
return(data)
}
})
output$summary <- renderPrint({
summary(reactive_data())
})
formulaText <- reactive({ # no need for function() here
paste("HomeWTaxAmt ~", input$variable)
})
output$caption <- renderText({
formulaText()
})
output$ggplot <- renderPlot({
# load your data
data <- reactive_data()
# to only plot when data is not NULL, make sure to include the plotting command in the if-else statement
# no data
if(is.null(data)){
return(NULL)
}else{
# data
# update your selectInput first, so that all the variables match your .csv headers
updateSelectInput(session, "variable",
choices = colnames(data),
selected = input$variable) # this keeps the input on the last thing selected on tab-change
# check for the input variable
# I used aes_string here so that indexing the colnames works
# you'll have to adjust the plotting command to your needs as my .csv files aren't the same as yours
plot <- ggplot(data, aes_string(x=colnames(data)[colnames(data) == input$variable], colnames(data)[length(colnames(data))]))+
geom_bar(stat="identity")
# Display your plot
print(plot)
}
})
}
shinyApp(ui, server)