I've found an interesting package rpivotTable
.
I'd like to create shiny app
which includes rpivotTable
with the possibility to download generated data using downloadHandler
.
However, I am unable to find the solution, how to create data.frame
or something else which I'd be able to pass to the downloadHandler
function.
rpivotTable
creates an object of class:
class(pivot)
[1] "rpivotTable" "htmlwidget"
Is threne any possibilities to download the output of the this function?
Also, I enclose the example, how the pivot is created in shiny and the example of download function which I'd like to use.
Maybe are the any other ideas or suggestions?
set.seed(1992)
n=99
Year <- sample(2013:2015, n, replace = TRUE, prob = NULL)
Month <- sample(1:12, n, replace = TRUE, prob = NULL)
Category <- sample(c("Car", "Bus", "Bike"), n, replace = TRUE, prob = NULL)
Brand <- sample("Brand", n, replace = TRUE, prob = NULL)
Brand <- paste0(Brand, sample(1:14, n, replace = TRUE, prob = NULL))
USD <- abs(rnorm(n))*100
df <- data.frame(Year, Month, Category, Brand, USD)
output$Pivot <- rpivotTable::renderRpivotTable({
rpivotTable(data = df, rows = "Brand", col = "Category", vals = "USD", aggregatorName = "Sum", rendererName = "Table")
})
output$downloadData <- downloadHandler(
filename = function() { paste(filename, '.csv', sep='') },
content = function(file) {
write.csv(PivotOutput, file)
})
I've just pushed on the master branch of rpivotTable on github a change that addresses the issue of getting the parameters the user is / has looked at on the server side.
Download the rpivotTable
code with devtools
:
devtools::install_github("smartinsightsfromdata/rpivotTable",ref="master")
This is an example of how to get the selected data on the server side. The example is not complete for your needs: you need to subset the original data frame with what you get back from rpivotTable. But this should be enough to give you an head start.
library(rpivotTable)
library(shiny)
list_to_string <- function(obj, listname) {
if (is.null(names(obj))) {
paste(listname, "[[", seq_along(obj), "]] = ", obj,
sep = "", collapse = "\n")
} else {
paste(listname, "$", names(obj), " = ", obj,
sep = "", collapse = "\n")
}
}
server <- function(input, output) {
output$pivotRefresh <- renderText({
cnames <- list("cols","rows","vals", "exclusions","aggregatorName", "rendererName")
# Apply a function to all keys, to get corresponding values
allvalues <- lapply(cnames, function(name) {
item <- input$myPivotData[[name]]
if (is.list(item)) {
list_to_string(item, name)
} else {
paste(name, item, sep=" = ")
}
})
paste(allvalues, collapse = "\n")
})
output$mypivot = renderRpivotTable({
rpivotTable(data=cars, onRefresh=htmlwidgets::JS("function(config) { Shiny.onInputChange('myPivotData', config); }"))
})
}
ui <- shinyUI(fluidPage(
fluidRow(column(6, verbatimTextOutput("pivotRefresh")),
column(6, rpivotTableOutput("mypivot") ))
)
)
shinyApp(ui = ui, server = server)