compute.specific.total.interaction: Compute Total interaction variance
In peterrobertcurtis/SSM: Fit and Analyze Smooth Supersaturated Models
Description
Usage
Arguments
Value
Description
This computes the Total interaction index for a given interaction. The
relevant term variances are identified and summed and the resulting
variance normalized and returned.
Usage
1
compute.specific.total.interaction(factors, ssm)
Arguments
factors
A vector of numbers identifying the interaction of interest.
e.g. The input (1, 3, 4) indicates that the interaction
between the first, third and fourth factors is the one of interest.
ssm
An SSM object.
Value
A number. The Total interaction index of the requested interaction.
peterrobertcurtis/SSM documentation built on May 25, 2019, 2:10 a.m.
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Description Usage Arguments Value
Description
This computes the Total interaction index for a given interaction. The relevant term variances are identified and summed and the resulting variance normalized and returned.
Usage
1 | compute.specific.total.interaction(factors, ssm)
|
Arguments
factors |
A vector of numbers identifying the interaction of interest. e.g. The input (1, 3, 4) indicates that the interaction between the first, third and fourth factors is the one of interest. |
ssm |
An SSM object. |
Value
A number. The Total interaction index of the requested interaction.
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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