h_md_denom_df: Calculating Denominator Degrees of Freedom for the...
In mmrm: Mixed Models for Repeated Measures
View source: R/satterthwaite.R
h_md_denom_df R Documentation
Calculating Denominator Degrees of Freedom for the Multi-Dimensional Case
Description
Calculates the degrees of freedom for multi-dimensional contrast.
Usage
h_md_denom_df(t_stat_df)
Arguments
t_stat_df
(numeric)
n t-statistic derived degrees of freedom.
Value
Usually the calculation is returning 2 * E / (E - n) where
E is the sum of t / (t - 2) over all t_stat_df values t.
Note
If the input values are two similar to each other then just the average
of them is returned. If any of the inputs is not larger than 2 then 2 is
returned.
mmrm documentation built on Oct. 7, 2024, 1:14 a.m.
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View source: R/satterthwaite.R
| h_md_denom_df | R Documentation |
Calculating Denominator Degrees of Freedom for the Multi-Dimensional Case
Description
Calculates the degrees of freedom for multi-dimensional contrast.
Usage
h_md_denom_df(t_stat_df)
Arguments
t_stat_df |
( |
Value
Usually the calculation is returning 2 * E / (E - n) where
E is the sum of t / (t - 2) over all t_stat_df values t.
Note
If the input values are two similar to each other then just the average of them is returned. If any of the inputs is not larger than 2 then 2 is returned.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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