已选择为第二个情节选择情节会禁用情节
我创建了一个闪亮的应用程序，该应用程序根据各种上下文绘制了热图。当在热图中的特定单元格上单击时，将绘制与所选列相对应的新折线图，并且每次单击新单元格时，该图都会自动更新。但是我最后想要的是，在第二个绘图中进行选择后，第二个绘图的详细信息显示在verbatimTextOutput（）内部。但是第二个单击或选择部分不起作用。当出现错误时，单击第二个图就消失了
Error in UseMethod: no applicable method for 'ggplotly' applied to an object of class "NULL"
我有一个完美运行的应用程序，上面的问题在quite a similar problem.
中也有描述library(shiny)
library(ggplot2)
library(gplots)
library(plotly)
ui <- fluidPage(
tags$style(type="text/css",
".shiny-output-error { visibility: hidden; }",
".shiny-output-error:before { visibility: hidden; }"
),
titlePanel("Creating a database"),
sidebarLayout(
sidebarPanel(
textInput("name", "Company Name"),
numericInput("income", "Income", value = 1),
numericInput("expenditure", "Expenditure", value = 1),
dateInput("date", h3("Date input"),value = Sys.Date() ,min = "0000-01-01",
max = Sys.Date(), format = "dd/mm/yy"),
actionButton("Action", "Submit"), #Submit Button
actionButton("new", "New")),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Table", tableOutput("table")),
tabPanel("Download",
textInput("filename", "Enter Filename for download"), #filename
helpText(strong("Warning: Append if want to update existing data.")),
downloadButton('downloadData', 'Download'), #Button to save the file
downloadButton('Appenddata', 'Append')),#Button to update a file )
tabPanel("Plot",
actionButton("filechoose", "Choose File"),
br(),
selectInput("toplot", "To Plot", choices =c("Income" = "inc1",
"Expenditure" = "exp1",
"Compare Income And
Expenditure" = "cmp1",
"Gross Profit" = "gprofit1",
"Net Profit" = "nprofit1",
"Profit Lost" = "plost1",
"Profit Percent" = "pp1",
"Profit Trend" = "proftrend1"
)),
actionButton("plotit", "PLOT"),
plotOutput("Plot")),
tabPanel("Heatmap",
selectInput("ploth","Heatmap", "Plot Heatmap Of", choices =c("Income" = "inc2",
"Expenditure" = "exp2",
"Gross Profit" = "gprofit2",
"Net Profit" = "nprofit2")),
actionButton("hplotit","Plot Heatmap"),
plotlyOutput("HeatPlot"),
plotlyOutput("Next"),
verbatimTextOutput("brush")
)
)
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output){
#Global variable to save the data
Data <- data.frame()
Results <- reactive(data.frame(input$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)
q = input$toplot
switch(EXPR = q ,
inc1 = output$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))),
exp1 = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= exp))+
geom_bar(stat = "identity",
fill = "red")+xlab("Dates")+
ylab("Expenditure")+
theme(axis.text.x = element_text(angle = 90))),
cmp1 = output$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))),
gprofit1 = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= gprofit))+
geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Gross Profit (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
nprofit1 = output$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))),
plost1 = output$Plot <- renderPlot(ggplot(data = Data, aes(x= Data[,4], y= plost))
+geom_bar(stat = "identity",
fill = "blue")+xlab("Dates")+
ylab("Profit Lost (in lakhs)")+
theme(axis.text.x = element_text(angle = 90))),
pp1 = output$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))),
proftrend1 = output$Plot <- renderPlot(ggplot()+
geom_line(data = as.data.frame(date[2:z]),
aes(x= Data[c(2:z),4] , y= proftrend,
group = 1, color = slope > 0))+
xlab("Dates")+ ylab("Profit Trend")+
theme(axis.text.x = element_text(angle = 90))
))})
observeEvent(input$hplotit, {
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],
Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc2 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],
Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp2 <- 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]))
gprofit2 <- 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)))
nprofit2 <- as.matrix(nprofit1)
date <- as.character(Data[,4])
h <- input$ploth
switch(EXPR = h ,
inc2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(inc2), y = date,
z = inc2, type = "heatmap",
colorscale = "Earth")),
exp2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(exp2), y = date,
z = exp2, type = "heatmap",
colors = colorRamp(c("red",
"yellow")))),
gprofit2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(gprofit2),
y = date, z = gprofit2,
type = "heatmap",
colorscale="Greys")),
nprofit2 = output$HeatPlot <- renderPlotly( plot_ly(x = colnames(nprofit2),
y = date, z = nprofit2,
type = "heatmap"))
)
})
output$Next <- renderPlotly({
event.data <- event_data(event = "plotly_click")[["x"]]
vars <- as.character(event.data)
dateof <- event_data(event = "plotly_click")[["y"]]
dates <- as.character(dateof)
value <- event_data(event = "plotly_click")[["z"]]
values <- as.character(value)
inc1 <- as.data.frame(cbind(Dummy1 = Data[,2],Dummy2 = Data[,7],
Dummy3 = Data[,12], Dummy4 = Data[,17]))
inc2 <- as.matrix(inc1)
exp1 <- as.data.frame(cbind(Dummy1 = Data[,3],Dummy2 = Data[,8],
Dummy3 = Data[,13], Dummy4 = Data[,18]))
exp2 <- as.matrix(exp1)
gprofit1 <- as.data.frame(cbind(Dummy1 = round(Data[,3] - Data[,2],2),
Dummy2 = round(Data[,8] - Data[,7],2),
Dummy3 = round(Data[,13] - Data[,12],2),
Dummy4 = round(Data[,18] - Data[,17],2)))
gprofit2 <- as.matrix(gprofit1)
nprofit1 <- as.data.frame(cbind(Dummy1 = round((Data[,3] - Data[,2]) - ((Data[,3] - Data[,2]) * 0.06),2),
Dummy2 = round((Data[,8] - Data[,7]) - ((Data[,8] - Data[,7]) * 0.10),2),
Dummy3 = round((Data[,13] - Data[,12]) - ((Data[,13] - Data[,12]) * 0.18),2),
Dummy4 = round((Data[,18] - Data[,17]) - ((Data[,18] - Data[,17]) * 0.22),2)))
nprofit2 <- as.matrix(nprofit1)
h <- input$ploth
did <- as.data.frame(cbind(Date = (as.character(Data[,4])),get(h)))
if(is.null(event.data)) NULL else ggplotly(ggplot(as.data.frame(did[,vars])) +
geom_line(aes(x = Data[,4], y = did[,vars]), group = 1 , stat = "identity", col = "blue")+
geom_point(aes(x = Data[,4], y = did[,vars]), stat = "identity", col = ifelse(Data[,4] == dates, "green", "darkmagenta"))+
theme(axis.text.x = element_text(angle = 90))+ xlab("Dates")+ylab("(in lakhs)")+ggtitle(vars) )
})
output$brush <- renderPrint({
d <- event_data("plotly_selected")
if (is.null(d)) "Selected events appear here" else d
})
}
# Run the application
shinyApp(ui = ui, server = server)
选择前的情节消失了
样本数据为
Comp_name <- c("Dum1")
Inc <- c(175.26,175.365,175.65,176.65,176.165,176.1685,175.56)
Exp <- c(175.48,174.53,174.165,173.1651,175.651,174.16541,176.65)
Date <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy1 <- as.data.frame(cbind(Comp_name,Inc,Exp,Date,Dates))
Comp_name1 <- c("Dum2")
Inc1 <- c(151.26,151.59,151.23,152.46,152.49,151.29,150.81)
Exp1 <- c(152.64,152.84,152.64,152.48,152.35,154.26,153.14)
Date1 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates1 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy2 <- as.data.frame(cbind(Comp_name1,Inc1,Exp1,Date1,Dates1))
Comp_name2 <- c("Dum3")
Inc2 <- c(160.45,161.25,163.56,165.25,163.59,160.89,161.26)
Exp2 <- c(160.19,160.78,162.15,164.89,165.24,163.25,162.48)
Date2 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates2 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy3 <- as.data.frame(cbind(Comp_name2,Inc2,Exp2,Date2,Dates2))
Comp_name3 <- c("Dum4")
Inc3 <- c(156.26,155.12,157.12,158.78,154.26,160.12,161.26)
Exp3 <- c(160.19,160.19,155.19,154.26,150.12,157.26,159.12)
Date3 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dates3 <- c(2018-06-01,2018-06-02,2018-06-03,2018-06-04,2018-06-05,2018-06-06,2018-06-07)
Dummy4 <- as.data.frame(cbind(Comp_name3,Inc3,Exp3,Date3,Dates3))
Data <- cbind(Dummy1,Dummy2,Dummy3,Dummy4)
Data <- as.data.frame(Data)
请帮助解决任何一个问题。
0 个答案:
没有答案
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