generate_sample_data: Generate genetic sample data

In imbs-hl/MDRDist: This Package calculates something like a distance

Description

This function generates a data set that could be used for testing the algorithms.

Usage

generate_sample_data()

Details

This function generates a set of unclassified data and a vector to evaluate the clustering. The data should be interpreted as two hidden clusters. For each cluster n=2000 individuals are generated, of which some become deseased. The disease appears, if

• for the first cluster with chance 80%, if snpA > 1 and snpB > 1, with chance 5% otherwise and

• for the second cluster with chance 80%, if snpC > 1 and snpD > 1, with chance 5% otherwise.

Value

The function returns a list

$data	A data.frame with 20 observed markers and about 630 individuals. The Markers are called snpA, snpB, snpC, snpD with MAF 0.2 noise1 to noise4 with MAF 0.1 noise5 to noise12 with MAF 0.2 noise13 to noise16 with MAF 0.3
$classification	a vector containing for each observation, in which cluster it has been generated

imbs-hl/MDRDist documentation built on May 18, 2019, 4:45 a.m.