| correlations {statgenGxE} | R Documentation |
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()