An S4 class to represent composite scores based on Mahalanobis distance
An S4 class to represent composite scores based on summing
An S4 class to represent composite scores based on (confirmatory) factor analysis
scoresA vector of the final scores
scoreHistogramA histogram of the final scores
screePlotA screeplot from the PCA
loadingGraphA graph of the component loadings
loadingTableA table of all the component loadings
pcaPrinicipal component analysis results. A list (coercied from princomp output).
ncomponentsThe number of components of the PCA to be used.
CompositeReadyThe original CompositeReady class object passed in
scoresA vector of the final scores
scoreHistogramA histogram of the final scores
transformA character string of the type of transformation applied
typeA character string indicating whether data were summed or averaged
transA list of functions to transform data and backtransform it
systemsA list with as many elements as there are systems where each element is a character vector containing the variable names for each system. If all variables belong to one system, a list with one element that is missing.
CompositeReadyThe original CompositeReady class object passed in
scoresA vector of the final scores
scoreHistogramA histogram of the final scores
factorScoresA data frame with all factor score predictions
typeA character string indicating the type of factor model used
factorsA list with as many elements as there are specific factors, where each element is a character vector of the variables for a specific factor
FitA fitted model object from lavaan.
CompositeReadyThe original CompositeReady class object passed in