Error in loading data for scatter plot in shinydashboard - r

Question

I am trying to create scatter plot outputs in the shiny dashboard. I have similar datasets for several years, and I want to plot according to chosen variables and year. Datasets file name is Y96Total8.rda, Y97Total8.rda... Datasets name is Total (data.table).
Unfortunately, I can't load the dataset in a true way to plot the results, and I have the error "non-numeric argument to mathematical function" in plot tab.
If anyone has any suggestions on how to produce this plot using the shiny dashboard it would be much appreciated.
I have attached the code.
library(shiny)
library(shinydashboard)
library(data.table)
library(ggplot2)
library(plotly)
library(DT)
header <- dashboardPage(
skin = "green",
dashboardHeader(title = "TEST"),
dashboardSidebar(sidebarMenu(
dir = "ltr",
align = "right",
menuItem("Correlation", tabName = "Correlation", icon = icon("users"))
)),
dashboardBody(load(file = "data/Test.rda"),
dir = "ltr",
tabItems(
tabItem(tabName = "Correlation",
fluidRow(tabsetPanel(
tabPanel(
"Inputs",
box(
status = "danger",
solidHeader = TRUE,
width = 6,
title = "Food Expenditures Per",
sliderInput(
inputId = "Food_Expenditures_Per2",
label = "Food Expenditures",
min = 0,
max = 30000000,
value = c(1000000, 10000000)
)
),
box(
status = "danger",
solidHeader = TRUE,
title = "Total Expenditures Per",
width = 6,
sliderInput(
inputId = "Total_Exp_Month_Per2",
label = "Total Expenditures Per",
min = 0,
max = 100000000,
value = c(1000000, 30000000)
)
),
box(
status = "info",
solidHeader = TRUE,
title = "First Variable",
width = 6,
selectInput(
"Var1",
"First Variable",
list("FoodExpenditure_Per", "Total_Exp_Month_Per"),
selected =
"FoodExpenditure_Per"
)
),
box(
status = "info",
solidHeader = TRUE,
title = "Second Variable",
width = 6,
selectInput(
"Var2",
"Second Variable",
list("FoodExpenditure_Per", "Total_Exp_Month_Per"),
selected =
"Total_Exp_Month_Per"
)
),
box(
status = "info",
solidHeader = TRUE,
title = "Year",
width = 6,
selectInput(
inputId = "slcT2Year3",
label = "Year",
choices =
list(1390, 1391, 1392, 1393,
1394, 1395, 1396, 1397),
selected =
1396
)
),
box(
status = "info",
solidHeader = TRUE,
title = "Add line of best fit",
width = 6,
checkboxInput("fit", "Add line of best fit")
),
),
tabPanel(
"Plot"
,
box(
status = "info",
solidHeader = TRUE,
width = 700,
height = 450,
plotOutput("scatterplot", width =
600, height = 400)
,
downloadButton("downloadPlot3", "Download")
)
)
)))
))
)
app_server <- function(input, output, session) {
##################### Scatter Plot #########################
output$scatterplot <- renderPlot({
y <- input$slcT2Year3
fn3 <- paste0("data/Y", substr(y, 3, 4), "Total8.rda")
load(fn3)
Total <- subset(
Total,
FoodExpenditure_Per >= input$Food_Expenditures_Per2[1] &
FoodExpenditure_Per <= input$Food_Expenditures_Per2[2] &
Total_Exp_Month_Per >= input$Total_Exp_Month_Per2[1] &
Total_Exp_Month_Per <= input$Total_Exp_Month_Per2[2]
)
p <- ggplot(Total, aes(input$Var1, input$Var2)) +
geom_point() +
scale_x_log10()
if (input$fit == TRUE) {
p <- p + geom_smooth(method = "lm")
}
p
})
session$onSessionEnded(function() {
stopApp()
# q("no")
})
}
shinyApp(header, app_server)
Image of the error:

Answer 1

Your ggplot call should be changed to
p <- ggplot(Total, aes(Total[[input$Var1]], Total[[input$Var2]]))