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[jaspFactor] Enable ordinal variable support in Exploratory Factor Analysis by... #331

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[jaspFactor] Enable ordinal variable support in Exploratory Factor Analysis by... #331

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27 changes: 24 additions & 3 deletions R/principalcomponentanalysis.R
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Original file line number Diff line number Diff line change
Expand Up @@ -55,6 +55,25 @@ principalComponentAnalysisInternal <- function(jaspResults, dataset, options, ..

# Preprocessing functions ----

.pcaAndEfaCoerceToNumeric <- function(x, variableType = NULL) {

xNumeric <- suppressWarnings(as.numeric(as.character(x)))
conversionIntroducedNA <- any(is.na(xNumeric) & !is.na(x))

isTypeCategorical <- !is.null(variableType) && variableType %in% c("ordinal", "nominal")
isCategorical <- isTypeCategorical || is.factor(x) || is.ordered(x)

if (conversionIntroducedNA && isCategorical) {
if (is.factor(x) || is.ordered(x)) {
return(as.numeric(x))
}

return(as.numeric(factor(x)))
}

return(xNumeric)
}

.pcaAndEfaHandleData <- function(dataset, options, ready) {

if (!ready) return()
Expand All @@ -64,7 +83,11 @@ principalComponentAnalysisInternal <- function(jaspResults, dataset, options, ..
if (options[["naAction"]] == "listwise") {
dataset <- dataset[complete.cases(dataset), ]
}
dataset[] <- lapply(dataset, function(x) as.numeric(as.character(x))) # the psych-package wants data to be numeric
variableTypes <- options[["variables.types"]]
dataset[] <- lapply(seq_along(dataset), function(i) {
currentType <- if (!is.null(variableTypes) && length(variableTypes) >= i) variableTypes[[i]] else NULL
.pcaAndEfaCoerceToNumeric(dataset[[i]], currentType)
})
return(dataset)
} else { # if variance covariance matrix as input
columnIndices <- sapply(options$variables, jaspBase:::columnIndexInData) + 1 # cpp starts at 0
Expand Down Expand Up @@ -822,5 +845,3 @@ principalComponentAnalysisInternal <- function(jaspResults, dataset, options, ..
return()

}


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