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efa.a.yaml
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efa.a.yaml
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---
name: efa
title: Exploratory Factor Analysis
menuGroup: Factor
version: '1.0.0'
jas: '1.2'
description:
main: Exploratory Factor Analysis
R:
dontrun: false
usage: |
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
#
options:
- name: data
type: Data
description:
R: the data as a data frame
- name: vars
title: Variables
type: Variables
takeFromDataIfMissing: true
suggested:
- ordinal
- continuous
permitted:
- numeric
rejectInf: false
description:
R: a vector of strings naming the variables of interest in `data`
- name: nFactorMethod
title: 'Number of factors'
type: List
options:
- name: parallel
title: Based on parallel analysis
- name: eigen
title: Based on eigenvalue
- name: fixed
title: Fixed number
default: parallel
description:
R: >
`'parallel'` (default), `'eigen'` or
`'fixed'`, the way to determine the number of factors
- name: nFactors
title: ''
type: Integer
min: 1
default: 1
description:
R: >
an integer (default: 1), the number of factors in the model
- name: minEigen
title: Minimum value
type: Number
default: 0
description:
R: >
a number (default: 0), the minimal eigenvalue for a factor to be included in the model
- name: extraction
title: Extraction
type: List
options:
- title: Minimum residuals
name: minres
- title: Maximum likelihood
name: ml
- title: Principal axis
name: pa
default: minres
description:
R: >
`'minres'` (default), `'ml'`, or `'pa'` use respectively 'minimum residual',
'maximum likelihood', or 'prinicipal axis' as the factor extraction method
- name: rotation
title: Rotation
type: List
options:
- title: None
name: none
- title: Varimax
name: varimax
- title: Quartimax
name: quartimax
- title: Promax
name: promax
- title: Oblimin
name: oblimin
- title: Simplimax
name: simplimax
default: oblimin
description:
R: >
`'none'`, `'varimax'`, `'quartimax'`, `'promax'`,
`'oblimin'` (default), or `'simplimax'`, the rotation to use
in estimation
- name: hideLoadings
title: Hide loadings below
type: Number
default: 0.3
description:
R: >
a number (default: 0.3), hide factor loadings below this value
- name: sortLoadings
title: Sort loadings by size
type: Bool
default: false
description:
R: >
`TRUE` or `FALSE` (default), sort the factor loadings by size
- name: screePlot
title: Scree plot
type: Bool
default: false
description:
R: >
`TRUE` or `FALSE` (default), show scree plot
- name: eigen
title: Initial eigenvalues
type: Bool
default: false
description:
R: >
`TRUE` or `FALSE` (default), show eigenvalue table
- name: factorCor
title: Factor correlations
type: Bool
default: false
description:
R: >
`TRUE` or `FALSE` (default), show inter-factor correlations
- name: factorSummary
title: Factor summary
type: Bool
default: false
description:
R: >
`TRUE` or `FALSE` (default), show factor summary
- name: modelFit
title: Model fit measures
type: Bool
default: false
description:
R: >
`TRUE` or `FALSE` (default), show model fit measures and test
- name: kmo
title: KMO measure of sampling adequacy
type: Bool
default: false
description:
R: >
`TRUE` or `FALSE` (default), show Kaiser-Meyer-Olkin (KMO) measure of
sampling adequacy (MSA) results
- name: bartlett
title: Bartlett's test of sphericity
type: Bool
default: false
description:
R: >
`TRUE` or `FALSE` (default), show Bartlett's test of sphericity results
- name: factorScoresOV
title: Factor scores
type: Output
- name: factorScoreMethod
title: Estimation method
type: List
options:
- title: Thurstone
name: Thurstone
- title: Bartlett
name: Bartlett
- title: ten Berge
name: tenBerge
- title: Anderson & Rubin
name: Anderson
- title: Harman
name: Harman
default: Thurstone
description:
R: >
`'Thurstone'` (default), `'Bartlett'`, `'tenBerge'`, `'Anderson'`,
or `'Harman'` use respectively 'Thurstone', 'Bartlett', 'ten Berge',
'Anderson & Rubin', or 'Harman' method for estimating factor scores
...