View source: R/report_paths_and_intervals.R
report_paths | R Documentation |
report_paths
generates an easy to read table reporting path coefficients
and R2 values for endogenous constructs.plot_scores
generates a
scatterplot matrix of each construct's scores against every other construct's scores.
report_paths(seminr_model, digits=3)
plot_scores(seminr_model, constructs=NULL)
seminr_model |
The PLS model estimated by |
digits |
A |
constructs |
a |
These functions generate an easy to read table reporting path coefficients and R2 values for endogenous constructs or a scatterplot matrix of construct scores.
A matrix of structural paths.
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))
)
# structural model: note that name of the interactions construct should be
# the names of its two main constructs joined by a '*' in between.
mobi_sm <- relationships(
paths(to = "Satisfaction",
from = c("Image", "Expectation", "Value"))
)
mobi_pls <- estimate_pls(mobi, measurement_model = mobi_mm, structural_model = mobi_sm)
report_paths(mobi_pls)
plot_scores(mobi_pls)
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