错过额外的情节，没有错误
我想创建一个闪亮的应用程序，该应用程序可以提供数据不同方面的热图，当我单击热图时，它还可以显示另一个图，以进一步说明特定公司。我已经创建了一个，但是当我在特定位置单击热图时绘制了热图之后，就不会再绘制下一张图，也不会显示任何错误。
library(shiny)
library(ggplot2)
library(gplots)
ui <- fluidPage(
titlePanel("Creating a database"),
sidebarLayout(
sidebarPanel(
textInput("name", "Company Name"),
numericInput("income", "Income", value = 1),
numericInput("expenditure", "Expenditure", value = 1),
dateInput("date", h3("Date input"),value = Sys.Date() ,min = "0000-01-01",
max = Sys.Date(), format = "dd/mm/yy"),
actionButton("Action", "Submit"),#Submit Button
actionButton("new", "New")),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Table", tableOutput("table")),
tabPanel("Download",
textInput("filename", "Enter Filename for download"), #filename
helpText(strong("Warning: Append if want to update existing data.")),
downloadButton('downloadData', 'Download'), #Button to save the file
downloadButton('Appenddata', 'Append')),#Button to update a file )
tabPanel("Plot",
actionButton("filechoose", "Choose File"),
br(),
selectInput("toplot", "To Plot", choices =c("Income" = "inc1",
"Expenditure" = "exp1",
"Compare Income And
Expenditure" = "cmp1",
"Gross Profit" = "gprofit1",
"Net Profit" = "nprofit1",
"Profit Lost" = "plost1",
"Profit Percent" = "pp1",
"Profit Trend" = "proftrend1"
)),
actionButton("plotit", "PLOT"),
plotOutput("Plot")),
tabPanel("Heatmap",
actionButton("combine","Combine"),
selectInput("ploth", "Plot Heatmap Of", choices =c("Income" = "inc1",
"Expenditure" = "exp1",
"Gross Profit" = "gprofit1",
"Net Profit" = "nprofit1")),
actionButton("hplotit","Plot Heatmap"),
plotlyOutput("HeatPlot"),
textOutput("HAha"),
plotOutput("Next")
)
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output){
#Global variable to save the data
Data <- data.frame()
Results <- reactive(data.frame(input$name, input$income, input$expenditure,
as.character(input$date),
as.character(Sys.Date())))
#To append the row and display in the table when the submit button is clicked
observeEvent(input$Action,{
Data <<- rbind(Data,Results()) #Append the row in the dataframe
output$table <- renderTable(Data) #Display the output in the table
})
observeEvent(input$new, {
Data <<- NULL
output$table <- renderTable(Data)
})
observeEvent(input$filechoose, {
Data <<- read.csv(file.choose()) #Choose file to plot
output$table <- renderTable(Data) #Display the choosen file details
})
output$downloadData <- downloadHandler(
filename = function() {
paste(input$filename , ".csv", sep="")}, # Create the download file name
content = function(file) {
write.csv(Data, file,row.names = FALSE) # download data
})
output$Appenddata <- downloadHandler(
filename = function() {
paste(input$filename, ".csv", sep="")},
content = function(file) {
write.table( Data, file=file.choose(),append = T, sep=',',
row.names = FALSE, col.names = FALSE) # Append data in existing
})
observeEvent(input$plotit, {
inc <- c(Data[ ,2])
exp <- c(Data[ ,3])
date <- c(Data[,4])
gprofit <- c(Data[ ,2]- Data[ ,3])
nprofit <- c(gprofit - (gprofit*0.06))
z <- as.numeric(nrow(Data))
plost <- gprofit - nprofit
pp <- (gprofit/inc) * 100
proftrend <- c(gprofit[2:z]-gprofit[1:(z-1)])
slope = c(((proftrend[2:(z-1)]-proftrend[1:(z-2)])/1),0)
y = input$toplot
switch(EXPR = y ,
inc = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= inc))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Income")+
theme(axis.text.x = element_text(angle = 90))),
exp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= exp))+
geom_bar(stat = "identity",
fill = "red")+xlab("Dates")+
ylab("Expenditure")+
theme(axis.text.x = element_text(angle = 90))),
cmp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4]))+
geom_line(aes(y= inc,group = 1, colour = "Income"))
+ geom_line(aes(y= exp,group =1, colour = "Expenditure"))+
xlab("Dates")+ ylab("Income (in lakhs)")+
scale_color_manual("",
breaks = c("Income","Expenditure"),
values = c(
"Income"="green", "Expenditure"= "red"
))+
theme(axis.text.x = element_text(angle = 90))),
gprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= gprofit))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Gross Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
nprofit = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= nprofit))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Net Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
plost = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= plost))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Lost (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
pp = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= pp))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Percentage")+
theme(axis.text.x = element_text(angle = 90))),
proftrend = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:z]),
aes(x= Data[c(2:z),4] , y= proftrend,
group = 1, color = slope > 0))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90))
))})
observeEvent(input$combine, {
Data <<- cbind(read.csv(file.choose()),read.csv(file.choose()),read.csv(file.choose()),read.csv(file.choose()))
output$table <- renderTable(Data)}) #Display the choosen file details
observeEvent(input$hplotit, {
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc1 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp1 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = Data[,3] - Data[,2],
Dummy2 = Data[,8] - Data[,7],
Dummy3 = Data[,13] - Data[,12],
Dummy4 = Data[,18] - Data[,17]))
gprofit1 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = (Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),
Dummy2 = (Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),
Dummy3 = (Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),
Dummy4 = (Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22)))
nprofit1 <- as.matrix(nprofit1)
date <- as.character(Data[,4])
h = input$ploth
switch(EXPR = h ,
inc1 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(inc1), y = date, z = inc1, type = "heatmap", colorscale = "Earth")),
exp1 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(exp1), y = date, z = exp1, type = "heatmap", colors = colorRamp(c("red", "yellow")))),
gprofit1 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(gprofit1), y = date, z = gprofit1, type = "heatmap", colorscale="Greys")),
nprofit1 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(nprofit1), y = date, z = nprofit1, type = "heatmap"))
)
})
output$HAha <- renderText({
event_data(event = "plotly_click", source = "heatplot")
})
output$Next <- renderPlot({
d <- event_data(event = "plotly_click", source = "heatplot")
vars <- c(d[["x"]])
if(is.null(d))return(NULL)
else
switch(EXPR = vars,
Dummy1 = plot(x = Data[,4], y = inc1$vars),
Dummy2 = plot(x = Data[,4], y = exp1$vars),
Dummy3 = plot(x = Data[,4], y = gprofit1$vars),
Dummy4 = plot(x = Data[,4], y = nprofit1$vars)
)})
}
# Run the application
shinyApp(ui = ui, server = server)
我想要的是像
这样的热点图之后 
，并且根据来自该特定所选列的值绘制了另一个折线图。 我想念的是什么？请帮忙。数据是一组4个csv文件，因此无法放在此处。抱歉。
重要的主要代码部分是
ui.server
tabPanel("Plot",
actionButton("filechoose", "Choose File"),
br(),
selectInput("toplot", "To Plot", choices =c("Income" = "inc1",
"Expenditure" = "exp1",
"Compare Income And
Expenditure" = "cmp1",
"Gross Profit" = "gprofit1",
"Net Profit" = "nprofit1",
"Profit Lost" = "plost1",
"Profit Percent" = "pp1",
"Profit Trend" = "proftrend1"
)),
actionButton("plotit", "PLOT"),
plotOutput("Plot")),
tabPanel("Heatmap",
actionButton("combine","Combine"),
selectInput("ploth", "Plot Heatmap Of", choices =c("Income" = "inc1",
"Expenditure" = "exp1",
"Gross Profit" = "gprofit1",
"Net Profit" = "nprofit1")),
actionButton("hplotit","Plot Heatmap"),
plotlyOutput("HeatPlot"),
plotlyOutput("Next")
shiny.server
observeEvent(input$hplotit, {
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc1 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp1 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = Data[,3] - Data[,2],
Dummy2 = Data[,8] - Data[,7],
Dummy3 = Data[,13] - Data[,12],
Dummy4 = Data[,18] - Data[,17]))
gprofit1 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = (Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),
Dummy2 = (Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),
Dummy3 = (Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),
Dummy4 = (Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22)))
nprofit1 <- as.matrix(nprofit1)
date <- as.character(Data[,4])
h = input$ploth
switch(EXPR = h ,
inc1 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(inc1), y = date, z = inc1, type = "heatmap", colorscale = "Earth")),
exp1 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(exp1), y = date, z = exp1, type = "heatmap", colors = colorRamp(c("red", "yellow")))),
gprofit1 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(gprofit1), y = date, z = gprofit1, type = "heatmap", colorscale="Greys")),
nprofit1 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(nprofit1), y = date, z = nprofit1, type = "heatmap"))
)
})
output$HAha <- renderText({
event_data(event = "plotly_click", source = "heatplot")
})
output$Next <- renderPlot({
d <- event_data(event = "plotly_click", source = "heatplot")
vars <- c(d[["x"]])
if(is.null(d))return(NULL)
else
switch(EXPR = vars,
Dummy1 = plot(x = Data[,4], y = inc1$vars),
Dummy2 = plot(x = Data[,4], y = exp1$vars),
Dummy3 = plot(x = Data[,4], y = gprofit1$vars),
Dummy4 = plot(x = Data[,4], y = nprofit1$vars)
)})
}
})
情节在两个地方，因此计算机知道是否选择了dummyy1，则仅需情节收入。不必同时选择两个输入。
0 个答案:
没有答案
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