context("plot-basics: specified_model\n")
test_that("dot_graph does not fail for a specified model", {
require(seminr)
set.seed(123)
mobi <- mobi
#seminr syntax for creating measurement model
mobi_mm <- constructs(
reflective("Image", multi_items("IMAG", 1:5)),
composite("Expectation", multi_items("CUEX", 1:3)),
composite("Quality", multi_items("PERQ", 1:7), weights = correlation_weights),
composite("Value", multi_items("PERV", 1:2), weights = regression_weights),
reflective("Satisfaction", multi_items("CUSA", 1:3)),
reflective("Complaints", single_item("CUSCO")),
reflective("Loyalty", multi_items("CUSL", 1:3))
)
#seminr syntax for creating structural model
mobi_sm <- relationships(
paths(from = "Image", to = c("Expectation", "Satisfaction", "Loyalty")),
paths(from = "Expectation", to = c("Quality", "Value", "Satisfaction")),
paths(from = "Quality", to = c("Value", "Satisfaction")),
paths(from = "Value", to = c("Satisfaction")),
paths(from = "Satisfaction", to = c("Complaints", "Loyalty")),
paths(from = "Complaints", to = "Loyalty")
)
model <- specify_model(mobi_mm, mobi_sm)
model_est <- estimate_pls(data = mobi,
model = model)
#plot(model)
expect_error(dot_graph(model), NA)
expect_error(plot(model), NA)
plot <- plot(model)
#testthat::expect_true(seminr:::check_test_plot(plot, title = "Plot with reflectives and composite"))
#vdiffr::expect_doppelganger(title = "reflectives and composite", fig = plot, writer = write_test)
})
# Cleanup
unlink("Rplots.pdf")
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