plot_interaction: Function for plotting interaction plot for moderated PLS or...

In seminr: Building and Estimating Structural Equation Models

Function for plotting interaction plot for moderated PLS or CBSEM model

Description

plot_interaction generates an interaction plot for the effect of an antecedent on an outcome given a mediator variable.

Usage

plot_interaction(moderated_model, intxn, dv, legend)

Arguments

moderated_model	SEMinR model that contains an interaction.
intxn	Name (character) of the interaction term in the structural model. Must look like a product of independent variabel and moderator (e.g., "ABC*XYZ")
dv	Name (character) of the dependant consutruct affected by the moderator.
legend	Location (character) of the legend on the plot; must be a combination of bottom|top and left|right (e.g., "bottomright").

Examples

data(mobi)

# seminr syntax for creating measurement model
mobi_mm <- constructs(
composite("Image",        multi_items("IMAG", 1:5)),
composite("Expectation",  multi_items("CUEX", 1:3)),
composite("Value",        multi_items("PERV", 1:2)),
composite("Satisfaction", multi_items("CUSA", 1:3)),
interaction_term(iv = "Image", moderator = c("Expectation"), method = orthogonal))

# Structural model
#  note: interactions should be the names of its main constructs joined by a '*' in between.
mobi_sm <- relationships(
  paths(to = "Satisfaction",
        from = c("Image", "Expectation", "Value",
                 "Image*Expectation")))

# Load data, assemble model, and estimate
mobi_pls <- estimate_pls(data = mobi,
                         measurement_model = mobi_mm,
                         structural_model = mobi_sm)

plot_interaction(mobi_pls, "Image*Expectation", "Satisfaction", "bottomright")

seminr documentation built on Oct. 13, 2022, 1:05 a.m.