Package: Rnest 1.0

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]

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Rnest.pdf |Rnest.html✨
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.

On CRAN:

exploratory-data-analysis factor-analysis

3.94 score 2 stars 11 scripts 519 downloads 17 exports 93 dependencies

Last updated 25 days agofrom:8c08edb836. Checks:7 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 24 2025
R-4.5-win	OK	Jan 24 2025
R-4.5-linux	OK	Jan 24 2025
R-4.4-win	OK	Jan 24 2025
R-4.4-mac	OK	Jan 24 2025
R-4.3-win	OK	Jan 24 2025
R-4.3-mac	OK	Jan 24 2025

Exports:BartlettSphericity cor_nest corFIML cov_nest covFIML ekc EKC genr8 Ledermann loadings MAP nest pa PA remove_unique shem unique_variable

Dependencies:abind arm BH bit bit64 boot cli clue cluster coda codetools colorspace crayon CVXR DEoptim digest ECOSolveR EFA.MRFA fansi farver foreach fungible GA ggplot2 glue gmp GPArotation gtable isoband iterators labeling lattice lavaan lifecycle lme4 magrittr MASS Matrix MatrixModels MBESS mcmc MCMCpack mgcv mi minqa mnormt munsell mvtnorm nleqslv nlme nloptr numDeriv OpenMx osqp pbivnorm pbmcapply PCovR pillar pkgconfig plyr psych quadprog quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rcsdp Rdpack reformulas reshape2 rlang Rmpfr rpf RSpectra scales scs sem semTools SparseM StanHeaders stringi stringr survival ThreeWay tibble utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
A list of seven correlation matrices.	achim
A correlation matrix composed of six factors.	achim24
Bartlett Sphericity Test	BartlettSphericity
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 values	cor_nest cov_nest
Full Information Maximum Likelihood (FIML) correlation or covariance matrix	corFIML 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
Simplify the the generation from a multivariate normal distributions.	genr8
Ledermann bound.	Ledermann
Print Loadings in NEST	loadings
Minimum average partial correlation (MAP)	MAP map
A correlation matrix from Meek-Bouchard.	meek_bouchard
Next Eigenvalue Sufficiency Test (NEST)	NEST nest
Parallel analysis	PA pa
Plot results of Next Eigenvalues Sufficiency Test (NEST)	plot.nest
Print results of NEST	print.nest
Remove unique variables	remove_unique
Split-Half Eigenvector Matching (SHEM)	shem
Summary results of NEST	summary.nest
A covariance matrix composed of 11 variables.	tabachnick_fidell2019
Probability of unique variables	unique_variable