Description Usage Arguments Details Value Author(s) Examples

This function estimates degrees of freedom of the total variance (type="total")
in random models or individual variance components (type="individual").
It bases on the results of the unified approach to ANOVA-type estimation
of variance components as implemented in functions `anovaVCA`

and `anovaMM`

.

1 |

`MS` |
(numeric) vector of sequential mean squares (ANOVA type-1). |

`Ci` |
(matrix) where elements are numeric values representing the inverse of the coefficient
matrix for calculation of expected mean squares (see |

`DF` |
(numeric) vector with the degrees of freedom for each factor in a ANOVA type-1 model. |

`type` |
(character) string specifying whether "total" degrees of freedom should be approximated or those of individual variance components |

Function is used internally, thus, it is not exported. Option 'type="total"' is used in
functions `anovaVCA`

and `anovaMM`

for approximating total DF.
Option 'type="individual"' is used in function `VCAinference`

when choosing
'ci.method="satterthwaite"' for approximating DFs for individual variance components.

numeric value representing the Satterthwaite DFs of the total variance.

Andre Schuetzenmeister [email protected]

1 2 3 4 5 6 7 8 9 | ```
## Not run:
data(dataEP05A2_2)
res <- anovaVCA(y~day/run, dataEP05A2_2)
VCA:::SattDF(res$aov.tab[-1,"MS"], getMat(res, "Ci.MS"), res$aov.tab[-1,"DF"], type="tot")
# now approximating individual DF for variance components
VCA:::SattDF(res$aov.tab[-1,"MS"], getMat(res, "Ci.MS"), res$aov.tab[-1,"DF"], type="i")
## End(Not run)
``` |

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