Function for plotting a slope analysis for an interaction in a PLS model
slope_analysis generates an interaction plot for the effect of an antecedent
on an outcome given a mediator variale.
slope_analysis(moderated_model, dv, moderator, iv, leg_place)
moderated_model |
A SEMinR model that contains an interaction. |
dv |
The name of the dependant consutruct affected by the moderator (interaction term). |
moderator |
The name of the moderator construct. |
iv |
The name of the independant construct affected by the moderator. |
leg_place |
The location of the legend, in order to make sure the legend does not obscure the plot lines. |
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)
slope_analysis(mobi_pls, "Satisfaction", "Expectation", "Image", "bottomright")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.