summary.var: Displays variances and correlations

In jendelman/StageWise: Two-stage analysis of multi-environment trials for genomic selection and GWAS

Displays variances and correlations

Description

Displays variances and correlations

Arguments

object	object of class_var
digits	number of digits for rounding
index.coeff	merit index coefficients
gamma	contribution of non-additive values for genetic merit

Details

For a single trait, the 'var' output is a data frame with two columns of information for the various effects: the first is the variance and the second is the proportion of variance explained (PVE), excluding the environment effect. For multiple locations or traits, the 'cor' output is the correlation matrix for additive effects (does not include fixed effect markers). For multiple traits, the variance and PVE results are returned as separate data frames, unless index.coeff is used to create an index.

The index.coeff are the coefficients of the standardized true values (see also blup). The argument gamma is the relative weight for non-additive to additive genetic merit (see also gain).

Value

List output that varies depending on the situation (see Details)

jendelman/StageWise documentation built on Feb. 23, 2025, 11 a.m.