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[jaspFactor] Add correlation matrix determinant as an assumption check output... #332

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[jaspFactor] Add correlation matrix determinant as an assumption check output... #332

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31 changes: 30 additions & 1 deletion R/exploratoryfactoranalysis.R
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Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,7 @@ exploratoryFactorAnalysisInternal <- function(jaspResults, dataset, options, ...
# output functions
.efaKMOtest( modelContainer, dataset, options, ready)
.efaBartlett( modelContainer, dataset, options, ready)
.efaCorrelationDeterminant(modelContainer, dataset, options, ready)
.efaMardia( modelContainer, dataset, options, ready)
.efaAntiImageCorrelation( modelContainer, dataset, options, ready)
.efaGoodnessOfFitTable( modelContainer, dataset, options, ready)
Expand Down Expand Up @@ -291,6 +292,35 @@ exploratoryFactorAnalysisInternal <- function(jaspResults, dataset, options, ...
bartlettTable[["pval"]] <- bar[["p.value"]]
}

.efaCorrelationDeterminant <- function(modelContainer, dataset, options, ready) {
if (!isTRUE(options[["correlationMatrixDeterminant"]]) || !is.null(modelContainer[["determinantTable"]])) return()

determinantTable <- createJaspTable(gettext("Correlation Matrix Determinant"))
determinantTable$dependOn("correlationMatrixDeterminant")
determinantTable$addColumnInfo(name = "determinant", title = gettext("Determinant"), type = "number", format = "sf:4")
determinantTable$position <- 0.25
modelContainer[["determinantTable"]] <- determinantTable

if (!ready) return()

if (any(options$variables.types %in% c("ordinal", "nominal")) && options[["baseDecompositionOn"]] == "polyTetrachoricCorrelationMatrix") {
varTypes <- options$variables.types
vars <- options$variables
scales <- vars[varTypes == "scale"]
ordinals <- vars[varTypes == "ordinal"]
nominals <- vars[varTypes == "nominal"]
polyTetraCor <- psych::mixedCor(dataset, c = scales, p = ordinals, d = nominals)
corMatrix <- polyTetraCor$rho
} else {
if (options[["dataType"]] == "raw")
corMatrix <- stats::cor(dataset, use = "pairwise.complete.obs")
else
corMatrix <- stats::cov2cor(as.matrix(dataset))
}

determinantTable[["determinant"]] <- det(corMatrix)
}


.efaMardia <- function(modelContainer, dataset, options, ready) {

Expand Down Expand Up @@ -969,4 +999,3 @@ exploratoryFactorAnalysisInternal <- function(jaspResults, dataset, options, ...

}


8 changes: 7 additions & 1 deletion inst/qml/common/PcaEfaOutputOptions.qml
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Expand Up @@ -124,6 +124,12 @@ Section
label: qsTr("Bartlett's test")
info: qsTr("Determines if the data correlation matrix is the identity matrix, meaning, if the variables are related or not. A significant result means the correlation matrix is unlike the identity matrix.")
}
CheckBox {
visible: !pca
name: "correlationMatrixDeterminant"
label: qsTr("Correlation matrix determinant")
info: qsTr("Displays the determinant of the correlation matrix used for assessing multicollinearity before extraction.")
}
CheckBox {
name: "mardiaTest";
label: qsTr("Mardia's test")
Expand Down Expand Up @@ -172,4 +178,4 @@ Section
}
}

}
}
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