test.segregation: test.segregation

In bschiffthaler/BatchMap: Software for the Creation of High Density Linkage Maps in Outcrossing Species

Description

Using OneMap internal function test.segregation.of.a.marker(), performs the Chi-square test to check if all markers in a dataset are following the expected segregation pattern, i. e., 1:1:1:1 (A), 1:2:1 (B), 3:1 (C) and 1:1 (D) according to OneMap's notation.

Usage

test.segregation(x)

Arguments

x	an object of class onemap, with data and additional information.

Details

First, it identifies the correct segregation pattern and corresponding H0 hypothesis, and then tests it.

Value

an object of class onemap.segreg.test, which is a list with marker name, H0 hypothesis being tested, the chi-square statistics, the associated p-values and the % of individuals genotyped. To see the object, it is necessary to print it.

Examples

data(example.out) # Loads a fake outcross dataset installed with onemap
Chi <- test.segregation(example.out) # Performs the chi-square test for all markers
print(Chi) # Shows the results

bschiffthaler/BatchMap documentation built on Dec. 16, 2019, 2:22 a.m.