context("SEMinR correctly identifies the model syntax errors\n") ## misspelt construct in mm set.seed(123) mobi_mm <- constructs( composite("Imag", multi_items("IMAG", 1:5), weights = mode_A), composite("Expectation", multi_items("CUEX", 1:3), weights = mode_A), composite("Value", multi_items("PERV", 1:2), weights = mode_A), composite("Satisfaction", multi_items("CUSA", 1:3), weights = mode_A) ) mobi_sm <- relationships( paths(to = "Satisfaction", from = c("Image", "Expectation", "Value")) ) expect_error(assess_model_specification(mobi_mm, mobi_sm, mobi), regexp = "names of your constructs") ## misspelt construct in sm mobi_mm <- constructs( composite("Image", multi_items("IMAG", 1:5), weights = mode_A), composite("Expectation", multi_items("CUEX", 1:3), weights = mode_A), composite("Value", multi_items("PERV", 1:2), weights = mode_A), composite("Satisfaction", multi_items("CUSA", 1:3), weights = mode_A) ) mobi_sm <- relationships( paths(to = "Satisfaction", from = c("Image", "Expectatin", "Value")) ) expect_error(assess_model_specification(mobi_mm, mobi_sm, mobi), regexp = "names of your constructs") ## missing construct in interaction mobi_mm <- constructs( composite("Image", multi_items("IMAG", 1:5), weights = mode_A), composite("Expectation", multi_items("CUEX", 1:3), weights = mode_A), composite("Quality", multi_items("PERQ", 1:3)), composite("Value", multi_items("PERV", 1:2), weights = mode_A), composite("Satisfaction", multi_items("CUSA", 1:3), weights = mode_A), interaction_term("Image", "Expectation") ) mobi_sm <- relationships( paths(to = c("Quality"), from = c("Image","Expectation", "Image*Expectation","Value")), paths(to = c("Satisfaction"), from = c("Image","Image*Expectation","Value")) ) expect_error(assess_model_specification(measurement_model = mobi_mm, structural_model = mobi_sm, mobi), "IV and MV") mobi_sm <- relationships( paths(to = "Satisfaction", from = c("Image", "Expectation", "Value")) ) mobi_mm <- constructs( composite("Image", multi_items("IMAG", 1:6), weights = mode_A), composite("Expectation", multi_items("CUEX", 1:3), weights = mode_A), composite("Value", multi_items("PERV", 1:2), weights = mode_A), composite("Satisfaction", multi_items("CUSA", 1:3), weights = mode_A) ) expect_error(assess_model_specification(mobi_mm, mobi_sm, mobi), regexp = "colnames")