D3partitionR has some fantastic visualisations for hierarchical and sequential data, however it seems to have a major flaw in Shiny.
The D3partitionROutput function (& renderD3partitionR) don't update the plotted object when the output object is updated.
The functions work perfectly on first execution of a graph however the plotted objects can't be reactively updated.
Does anyone know of a fix or workaround as I really like this package's visualisations?
library(shiny)
library(D3partitionR)
path_in=list(list("A","B","C","D"),list("A","B","F","G"),list("A","D"),list("A","B","END"))
value_in=c(15,29,21,34)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Old Faithful Geyser Data"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
selectInput("type_in",
"Plot type:",
choices = c('circleTreeMap', 'partitionChart', 'treeMap')
)
),
# Show a plot of the generated distribution
mainPanel(
D3partitionROutput("part_out")
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$part_out <- renderD3partitionR({
type = input$type_in
D3partitionR(data=list(path=path_in,value=value_in)
, type = type)
})
}
# Run the application
shinyApp(ui = ui, server = server)
Update: I found a similar bug here in Rwordcloud that was resolved by modifying the "render" function in Rwordcloud.js. I looked into renderValue in D3partitionR.js and the function doesn't take an input of 'instance' (as is done in Rwordcloud.js) so it seems it doesn't know when to delete / refresh renderValue. I'm an R guy (and have no js experience) so I don't know how the renderValue function should be changed in D3partitionR.js however I'm pretty sure this is the source of the problem.. Help!
