generate.rank.matrix: generate.rank.matrix

In TopKSignal: A Convex Optimization Tool for Signal Reconstruction from Multiple Ranked Lists

generate.rank.matrix

Description

The generate.rank.matrix() function requires the user to specify the number of objects (items), called p, and the number of assessors, called n. The function simulates full ranked lists (i.e. no missing assignments) without ties.

Usage

generate.rank.matrix(p, n, percentageMissing = 0)

Arguments

p	The number of objects.
n	The number of assessors.
percentageMissing	The percentage of the missing values. Note, missing data should be resolved by the rank() function before calling estimateTheta().

Value

A list with simulated data

• R.input - The rank matrix

• thea.true - The true underlying signals from the assessments

• sigmas - The standard error of the noise added for each assessor

• matrixNoise - The noise added to the true signals in order to get the final rank matrix

Examples

p = 8
n = 10
input <- generate.rank.matrix(p, n)
rownames(input$R.input) <- c("a","b","c","d","e","f","g","h")

TopKSignal documentation built on May 29, 2024, 4:26 a.m.