prepare.idata: Prepare Idata vector of 0's and 1's

Description

Function creates a data stream vector of zeros and ones (Idata) based on the preselected distance delta of the paired ordered lists. The obtained vector is further used as an input for compute.stream, a function that estimates the index position of information degradation.

Usage

prepare.idata(x, d)

Arguments

Data matrix or data frame, where the columns represent the lists of objects ordered according those rankings obtained from two different assessments.

The maximal distance between two lists for a ranked object

Value

The result is an object of type Idata, which is a list containing the data stream vector of zeros and ones, and the information about the applied distance delta
IdataData stream vector of zeros and ones
deltaThe applied delta

Details

The data stream vector is created as follows: if diff(rank1, rank2) of an individual object is less or equal delta, then 1 is assigned; otherwise 0. The smaller the delta value, the stronger the assumption of concordance for the paired ranked lists. When delta=0, the condition returns 1 for an object if and only if its rankings in the two lists are identical (the two objects share the same row).

Examples

Run this code

set.seed(4568)
A <- sample(1:20, 20)
B <- sample(1:20, 20)
C <- sample(1:20, 20)
mm <- data.frame(A, B, C, row.names=LETTERS[1:20])
prepare.idata(mm, d=10)

# The breast cancer example
data(breast)
Idata1 = prepare.idata(breast[,c(1,3)], d=10)
# or 
Idata2 = prepare.idata(breast[,c(1,2)], d=10)
# compare to
Idata2 = prepare.idata(breast, d=10)