Visualization.MultiType: Multitype Random Utility visualizer

In StatRank: Statistical Rank Aggregation: Inference, Evaluation, and Visualization

Description

Multitype Random Utility visualizer

Usage

Visualization.MultiType(multitype.output, min, max, names, ncol)

Arguments

multitype.output	output from a multitype fitter
min	left boundary of graphed x-axis
max	right boundary of graphed x-axis
names	names of alternatives
ncol	number of columns in final output

Value

none

Examples

library(ggplot2)
library(gridExtra)
Data.Tiny <- matrix(c(1, 2, 3, 3, 2, 1, 1, 2, 3), ncol = 3, byrow = TRUE)
multitype.output <- Estimation.RUM.MultiType.MLE(Data.Tiny, iter = 1, dist = "norm", ratio = .5)
names <- 1:3
#run the following code to make plots
#plots <- Visualization.MultiType(multitype.output, -2, 2, names, 3)

StatRank documentation built on May 1, 2019, 8:22 p.m.