I'm attempting to create a sort of pivot table in my shiny web app where users select which variables they want to cast against one another. The problem I'm finding is that when I try to use cast with my 'input$columns' I get the following: Error : Casting formula contains variables not found in molten data: input$columns. The input$columns should be one of three column names found in my dataset, so I'm not sure what the problem might be. I'm attaching a simplified version of the code to try to isolate the problem.
UI
library(shiny)
shinyUI(fluidPage(
titlePanel("Reactivity"),
sidebarLayout(
sidebarPanel(
textInput("caption", "Caption:", "Column Name:"),
selectInput("columns", "Choose a dataset:",
choices = c("Publisher", "Region", "Representative")),
numericInput("obs", "Number of observations to view:", 10)
),
mainPanel(
h3(textOutput("caption")),
verbatimTextOutput("summary"),
dataTableOutput('view')
)
)
))
Server
library(shiny)
library(datasets)
shinyServer(function(input, output) {
datasetInput <- reactive({
switch(input$columns,
"Publisher" = Publisher,
"Region" = Region,
"Representative" = Representative)
})
output$caption <- renderText({
input$caption
})
output$summary <- renderPrint({
dataset <- datasetInput()
summary(dataset)
})
output$view <- renderDataTable({
test <- input$columns
m.book.sales <- melt(book.sales)
cast(m.book.sales, test ~ variable, sum)
})
})
and dataset
> head(book.sales)
Representative Region Month Publisher Subject Sales Margin Quantity
1 Raj S 1997-01-01 SAGE Management 135.0 63.45 9
2 Raj S 1997-01-01 Routledge Statistics 120.0 48.00 6
3 Raj S 1997-01-01 Penguin Economics 54.0 22.68 4
4 Raj S 1997-01-01 Routledge Fiction 234.0 128.70 9
5 Soni S 1997-01-01 Penguin Politics 54.0 22.68 4
6 Soni S 1997-01-01 SAGE Politics 185.4 100.12 12