incomplete: A simulated example data containing missing values

In imputeMDR: The Multifactor Dimensionality Reduction (MDR) Analysis for Incomplete Data

Description

This data is an example of a simulated case-control study data with 10 10 biallelic marker genotypes (ex : single nucleotide polymorphisms; SNPs) for 200 cases and 200 controls are included. Class variable (response; phenotype; disease status) is in the first column.

Usage

data(incomplete)

Format

A data frame with 400 observations on the following 11 variables.

class

a numeric vector

snp1

a numeric vector

snp2

a numeric vector

snp3

a numeric vector

snp4

a numeric vector

snp5

a numeric vector

snp6

a numeric vector

snp7

a numeric vector

snp8

a numeric vector

snp9

a numeric vector

snp10

a numeric vector

References

Namkung J, Elston RC, Yang JM, Park T. "Identification of gene-gene interactions in the presence of missing data using the multifactor dimensionality reduction method" Genet Epidemiol. 2009 Nov;33(7):646-56.

Examples

data(incomplete)

Example output

imputeMDR documentation built on May 2, 2019, 12:03 p.m.