Package: Rnest 1.4

Rnest: Next Eigenvalue Sufficiency Test

Determine the number of dimensions to retain in exploratory factor analysis. The main function, nest(), returns the solution and the plot(nest()) returns a plot.

Authors:P.-O. Caron [aut, cre, cph]

Rnest_1.4.tar.gz
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Rnest_1.4.tgz(r-4.6-any)Rnest_1.4.tgz(r-4.5-any)
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Rnest_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Rnest/json (API)

# Install 'Rnest' in R:
install.packages('Rnest', repos = c('https://quantmeth.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/quantmeth/rnest/issues

Datasets:
  • achim - A list of seven correlation matrices.
  • achim24 - A correlation matrix composed of six factors.
  • briggs_maccallum2003 - A list of three correlation matrices.
  • caron2016 - A list of six correlation matrices composed of nine variables with three factors and different levels of correlations between factors.
  • caron2019 - A list of 15 correlation matrices composed of nine variables with three factors and different levels of correlations between factors.
  • cormat - A list containing 120 correlation matrices.
  • cormat.l - A list containing 120 lists of correlation matrices and their underlying characteristics.
  • ex_2factors - A correlation matrix composed of 2 factors.
  • ex_3factors_doub_unique - A correlation matrix composed of two factors, a doublet factor and a unique variable.
  • ex_4factors_corr - A correlation matrix composed of 4 correlated factors.
  • ex_mqr - A correlation matrix from chapter 19 Explorer of Méthodes quantitatives avec R (MQR).
  • meek_bouchard - A correlation matrix from Meek-Bouchard.
  • tabachnick_fidell2019 - A covariance matrix composed of 11 variables.
  • TEST1 - A problematic correlation matrix from Paquin.

On CRAN:

Conda:

exploratory-data-analysisfactor-analysis

3.48 score 2 stars 15 scripts 234 downloads 18 exports 39 dependencies

Last updated from:e6bd641bdf. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK149
source / vignettesOK291
linux-release-x86_64OK128
macos-release-arm64OK134
macos-oldrel-arm64OK93
windows-develOK88
windows-releaseOK71
windows-oldrelOK83
wasm-releaseOK110

Exports:BartlettSphericitycor_nestcorFIMLcov_nestcovFIMLekcEKCfareggenr8LedermannloadingsMAPnestpaPAremove_uniqueshemunique_variable

Dependencies:clicpp11crayonEFA.MRFAfarverggplot2glueGPArotationgtableisobandlabelinglatticelavaanlifecyclemagrittrMASSMatrixmnormtmvtnormnlmenumDerivpbivnormPCovRplyrpsychquadprogR6RColorBrewerRcppreshape2rlangS7scalesstringistringrThreeWayvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
A list of seven correlation matrices.achim
A correlation matrix composed of six factors.achim24
Bartlett Sphericity TestBartlettSphericity
A list of three correlation matrices.briggs_maccallum2003
A list of six correlation matrices composed of nine variables with three factors and different levels of correlations between factors.caron2016
A list of 15 correlation matrices composed of nine variables with three factors and different levels of correlations between factors.caron2019
A list containing 120 correlation matrices.cormat
A list containing 120 lists of correlation matrices and their underlying characteristics.cormat.l
Compute covariance or correlation matrix with treatments for clusters and missing valuescor_nest cov_nest
Full Information Maximum Likelihood (FIML) correlation or covariance matrixcorFIML covFIML
Empirical Kaiser Criterion (EKC)EKC ekc
A correlation matrix composed of 2 factors.ex_2factors
A correlation matrix composed of two factors, a doublet factor and a unique variable.ex_3factors_doub_unique
A correlation matrix composed of 4 correlated factors.ex_4factors_corr
A correlation matrix from chapter 19 Explorer of Méthodes quantitatives avec R (MQR).ex_mqr
Regularized Factor Analysisfareg
Simplify the the generation from a multivariate normal distributions.genr8
Ledermann bound.Ledermann
Print Loadings in NESTloadings
Minimum average partial correlation (MAP)MAP map
A correlation matrix from Meek-Bouchard.meek_bouchard
Next Eigenvalue Sufficiency Test (NEST)NEST nest
Parallel analysisPA pa
Plot results of Next Eigenvalues Sufficiency Test (NEST)plot.nest
Print results of NESTprint.nest
Remove unique variablesremove_unique
Split-Half Eigenvector Matching (SHEM)shem
Summary results of NESTsummary.nest
A covariance matrix composed of 11 variables.tabachnick_fidell2019
A problematic correlation matrix from Paquin.TEST1
Probability of unique variablesunique_variable