Exploratory Factor Analysis
Exploratory Factor Analysis
efa( data, vars, nFactorMethod = "parallel", nFactors = 1, minEigen = 0, extraction = "minres", rotation = "oblimin", hideLoadings = 0.3, sortLoadings = FALSE, screePlot = FALSE, eigen = FALSE, factorCor = FALSE, factorSummary = FALSE, modelFit = FALSE, kmo = FALSE, bartlett = FALSE )
data |
the data as a data frame |
vars |
a vector of strings naming the variables of interest in
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nFactorMethod |
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nFactors |
an integer (default: 1), the number of factors in the model |
minEigen |
a number (default: 0), the minimal eigenvalue for a factor to be included in the model |
extraction |
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rotation |
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hideLoadings |
a number (default: 0.3), hide factor loadings below this value |
sortLoadings |
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screePlot |
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eigen |
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factorCor |
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factorSummary |
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modelFit |
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kmo |
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bartlett |
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A results object containing:
results$text |
a preformatted | ||||
data('iris') efa(iris, vars = vars(Sepal.Length, Sepal.Width, Petal.Length, Petal.Width)) # # EXPLORATORY FACTOR ANALYSIS # # Factor Loadings # ------------------------------------------------ # 1 2 Uniqueness # ------------------------------------------------ # Sepal.Length 0.993 0.10181 # Sepal.Width 0.725 0.42199 # Petal.Length 0.933 0.00483 # Petal.Width 0.897 0.07088 # ------------------------------------------------ # Note. 'oblimin' rotation was used #
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