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)
A matrix of structural paths.
The PLS model estimated by seminr
. The estimated model
returned by the estimate_pls
or bootstrap_model
methods.
A numeric
minimum number of significant digits. If not
specified, default is "2".
a list
indicating which constructs to report. If not
specified, all constructs are graphed and returned.
These functions generate an easy to read table reporting path coefficients and R2 values for endogenous constructs or a scatterplot matrix of construct scores.
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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