calc_q2

Amount of conflicts in parental scores

par.conflicts

Amount of missing values in the parents

par.NAfrac

Should parents match F1? One of the following: "No", "Unknown", "OneOK" or "Yes"

matchParents

Logical, if <code>TRUE</code> then q2 is determined not by matchParents but 
by the amount of conflicts and missing values in the parents. If <code>FALSE</code>, par.conflicts and 
par.NAfrac are not used and the information on the match between parents and F1 segtype has to come 
from matchParents.

parentsScoredWithF1

q2 is about how well the parents are scored and fit with the selfit segtype

Creation of linkage maps in polyploid species from marker dosage
scores of an F1 cross from two heterozygous parents. Currently works for autotriploid, autotetraploid and autohexaploid species,
as well as segmental allotetraploids. Methods are described in a manuscript of Bourke et al. (2018) <doi:10.1093/bioinformatics/bty371>.

calc_q2: calc_q2 ***********************************************************

Description

Usage

Arguments