moreparty (version 0.4)

ctree-module: Shiny module to build and analyse conditional inference trees

Description

The module builds a conditional inference trees according to several parameter inputs. Then it plots the tree and computes performance measures, variable importance, checks the stability and return the code to reproduce the analyses.

Usage

ctreeUI(id)
ctreeServer(id, data, name)

Arguments

id

Module id. See shiny::callModule().

data

shiny::reactive() function returning a data.frame to use for the analyses.

name

shiny::reactive() function returning a character string representing data name.

Author

Nicolas Robette

References

Hothorn T, Hornik K, Van De Wiel MA, Zeileis A. "A lego system for conditional inference". The American Statistician. 60:257–263, 2006.

Hothorn T, Hornik K, Zeileis A. "Unbiased Recursive Partitioning: A Conditional Inference Framework". Journal of Computational and Graphical Statistics, 15(3):651-674, 2006.

See Also

ictree

Examples

library(shiny)
library(moreparty)

data(titanic)

ui <- fluidPage(
  titlePanel("Conditional inference trees"),
  ctreeUI(id = "ctree_app")
)

server <- function(input, output, session) {
  rv <- reactiveValues(
    data = titanic,
    name = deparse(substitute(titanic))
  )
  ctreeServer(id = "ctree_app", reactive(rv$data), reactive(rv$name))
}

if (interactive())
  shinyApp(ui, server)