correlations: Compute different types of correlations.

In statgenGxE: Genotype by Environment (GxE) Analysis

Compute different types of correlations.

Description

Compute three types of correlations for models fitted with a nesting factor.

• correlation between scenarios or environment types:

  \sigma_G^2 / (\sigma_G^2 + \sigma_{GS}^2)

• correlation between trials within scenarios or environment types:

  (\sigma_G^2 + \sigma_{GS}^2) / (\sigma_G^2 + \sigma_{GS}^2 + \sigma_E^2)

• correlation between trials that belong to different scenarios/environment types:

  \sigma_G^2 / (\sigma_G^2 + \sigma_{GS}^2 + \sigma_E^2)

In these formulas the \sigma terms stand for the standard deviations of the respective model terms. So \sigma_S is the standard deviation for the scenario term in the model, \sigma_{GS} for the standard deviation of the genotype by scenario term and \sigma_E corresponds to the residual standard deviation.

Usage

correlations(varComp)

Arguments

varComp

An object of class varComp.

Value

A list with three correlations.

See Also

Other Mixed model analysis: CRDR(), diagnostics(), gxeVarComp(), herit(), plot.varComp(), predict.varComp(), vc()

statgenGxE documentation built on May 29, 2024, 1:30 a.m.