interact: Interaction Functions
In ISS-Analytics/modelr: Natural, friendly, domain-specific language for building PLS structural equation models
Description
Usage
Arguments
Details
Examples
Description
interact creates interaction measurement items by multipying all combination of factor items.
Usage
1
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Create two new interactions: factor1.factor2 and factor1.factor3
interact( interaction_combo("factor1", "factor2"),
interaction_combo("factor1", "factor3")
)
Arguments
...
Interaction Combinations as generated by the interaction_combo function
Details
This function automatically generates interaction measurement items for a PLS SEM.
Examples
1
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data("mobi", package = "semPLS")
mobi_xm <- interact(
interaction_combo("Image", "Expectation"),
interaction_combo("Image", "Value")
)
mobi_pls <- modelr(mobi, mobi_mm, mobi_xm, mobi_sm)
print_paths(mobi_pls)
ISS-Analytics/modelr documentation built on May 7, 2019, 6:35 a.m.
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Description Usage Arguments Details Examples
Description
interact creates interaction measurement items by multipying all combination of factor items.
Usage
1 2 3 4 | Create two new interactions: factor1.factor2 and factor1.factor3
interact( interaction_combo("factor1", "factor2"),
interaction_combo("factor1", "factor3")
)
|
Arguments
... |
Interaction Combinations as generated by the |
Details
This function automatically generates interaction measurement items for a PLS SEM.
Examples
1 2 3 4 5 6 7 8 9 | data("mobi", package = "semPLS")
mobi_xm <- interact(
interaction_combo("Image", "Expectation"),
interaction_combo("Image", "Value")
)
mobi_pls <- modelr(mobi, mobi_mm, mobi_xm, mobi_sm)
print_paths(mobi_pls)
|
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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