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I found when a conflict between the networkD3 and d3treeR, below is a reproducible example:
library(shiny)
library(plotly)
library(networkD3)
library(treemap)
library(d3treeR)
ui <- fluidPage(
plotlyOutput("p"),
forceNetworkOutput("o"),
d3treeOutput("a")
)
Dear developer,
I found when a conflict between the networkD3 and d3treeR, below is a reproducible example:
library(shiny)
library(plotly)
library(networkD3)
library(treemap)
library(d3treeR)
ui <- fluidPage(
plotlyOutput("p"),
forceNetworkOutput("o"),
d3treeOutput("a")
)
server <- function(input, output, session) {
output$p <- renderPlotly({
ds <- data.frame(labels = c("A", "B", "C"), values = c(10, 40, 60))
plot_ly(ds, labels = ~labels, values = ~values) %>%
add_pie() %>%
layout(title = "Basic Pie Chart using Plotly")
})
output$o <- renderForceNetwork({
forceNetwork(Links = MisLinks, Nodes = MisNodes, Source = "source",
Target = "target", Value = "value", NodeID = "name",
Group = "group", opacity = 0.4, zoom = TRUE)
})
output$a <- renderD3tree({
data(GNI2014)
tm <- treemap(
GNI2014,
index=c("continent", "iso3"),
vSize="population",
vColor="GNI",
type="value"
)
d3tree( tm,rootname = "World" )
})
}
shinyApp(ui, server)
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