Missing extra plot with no error - r

Question

I want to ceate a shiny app that gives heatmap of different aspects of data and when i click in the heatmap it gives one more graph that tells more about a particular company. I have created one but after the heatmap has been plotted when i click on the heatmap at a particular point the next graph is not plot nor is some error shown.
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)
What i want is that after a heatmap like
has been plotted when i click on any one cell, a further line chart is plotted depending on values from that particular selected column.
What is it that i am missing? PLease Help. Data is a set of 4 csv files so cannot be put over here. Sorry.
The main code parts that matter are
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)
)})
}
})
The ploth is in both places so that the computer knows if dummyy1 is selected then it has to plot income only. Dont have to give two selected inputs for both.