Package: PsyMetricTools 1.2.3

PsyMetricTools: Psychometric and Statistical Analysis Tools

Provides tools for psychometric and statistical analysis in social sciences, including functions for data preprocessing, factor analysis, reliability testing, descriptive statistics, visualization of Likert-scale items, measurement invariance analysis, and handling of multi-class imbalance. Facilitates advanced data analysis tasks commonly encountered in psychological and educational research. Includes an updated easy_invariance() function for ordinal data following Wu and Estabrook (2016) <doi:10.1037/met0000051>.

Authors:Jose Ventura-Leon [aut, cre]

PsyMetricTools_1.2.3.tar.gz
PsyMetricTools_1.2.3.zip(r-4.7-any)PsyMetricTools_1.2.3.zip(r-4.6-any)PsyMetricTools_1.2.3.zip(r-4.5-any)
PsyMetricTools_1.2.3.tgz(r-4.6-any)PsyMetricTools_1.2.3.tgz(r-4.5-any)
PsyMetricTools_1.2.3.tar.gz(r-4.7-any)PsyMetricTools_1.2.3.tar.gz(r-4.6-any)
PsyMetricTools_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PsyMetricTools/json (API)

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

Bug tracker:https://github.com/jventural/psymetrictools/issues

On CRAN:

Conda:

3.48 score 1 stars 1 scripts 210 downloads 84 exports 42 dependencies

Last updated from:1d70933259. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK216
source / vignettesOK266
linux-releaseOK229
macos-releaseOK135
macos-oldrelOK126
windows-develOK126
windows-releaseOK138
windows-oldrelOK167
wasm-releaseOK193

Exports:%>%admis_simpleagrupar_por_factorboot_cfaboot_cfa_densityboot_cfa_plotboot_cfa_plot_enhancedboot_cfa_raincloudboot_cfa_stabilityboot_efaboot_efa_forest_plotboot_efa_plotcalcula_omega_mcdonaldcalculate_omega_Jcalculate_per_fitcalculate_per_fit_efacombine_likert_semcomparation_metriccor_afecount_excluded_itemscrear_modelo_lavaancrearSintaxisCFAcreate_groupscreateInitialModeleasy_invarianceEFA_modernEFA_plotefa_with_bootstraperp_by_itemexport_summary_tablesextract_bondad_boot_AFCextract_bondad_boot_EFAextract_ExcludedItems_bootextract_f_itemsextract_fitextract_fit_measuresextract_ModIndex_AFCextract_summary_modificationsextractAllFitMeasuresextractAllInterFactorsextractAllResultsextracted_items2extraer_metricasfactor_summaryfactors_data_itemsfiltrar_aberrantesfit_index_Tablegenerate_model_lavaangenerate_modelosgenerate_summarygenerate_tableget_ave_crinterpret_decision_SSVinvertir_itemsMatrix_lambdamulti_cfaplot_cfa_stabilityplot_cfa_stability_boxplot_cfa_stability_intervalsplot_cfa_stability_intervals2plot_cfa_stability_pointrangeplot_cfa_stability_ridgelineplot_erpPlot_LikertPlot_Likert2plot_mediation_chordplot_mediation_donutsplot_mediation_forestplot_multi_semplot_path_cfaplot_path_mediationPreliminar_tablerun_sempowerlabsafe_cfasafe_measuressave_to_excel_tablesmote_multiclassspecification_modelssplit_data_stratified_clusteredsplit_data_threesplit_data_twoStandardized_solutionsStandardized_solutions_cfasummarise_column

Dependencies:clicpp11dplyrfarvergenericsggplot2glueGPArotationgridExtragtableisobandlabelinglatticelavaanlifecyclemagrittrMASSmnormtnlmenumDerivpbapplypbivnormpillarpkgconfigpsychpurrrquadprogR6RColorBrewerrlangS7scalessemToolsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Simple Admissibility Check for CFAadmis_simple
Group Items by Factor Loadingsagrupar_por_factor
Bootstrap Confirmatory Factor Analysisboot_cfa
Density Plot para Bootstrap CFAboot_cfa_density
Bootstrap CFA Plotboot_cfa_plot
Boot CFA Plot Enhanced (panel A enriquecido)boot_cfa_plot_enhanced
Raincloud Plot para Bootstrap CFAboot_cfa_raincloud
Bootstrap CFA Stability Analysisboot_cfa_stability
Bootstrap EFA (Exploratory Factor Analysis)boot_efa
Forest Plot for Bootstrap EFA Resultsboot_efa_forest_plot
Plot Bootstrap EFA Resultsboot_efa_plot
Calculate McDonald's Omega Coefficientcalcula_omega_mcdonald
Omega Coefficient from a Fitted lavaan Modelcalculate_omega_J
Calculate Percentage of Fit Indices Meeting Thresholdscalculate_per_fit
Calculate Percentage of Bootstrap EFA Models Meeting Fit Thresholdscalculate_per_fit_efa
Combine Likert Plot with SEM Path Diagramcombine_likert_sem
Compare Fit Metrics Across Modelscomparation_metric
Extract Factor Correlations from EFAcor_afe
Count Excluded Items from Bootstrap Analysiscount_excluded_items
Create Lavaan Model Syntaxcrear_modelo_lavaan
Create CFA Syntax from Data FramecrearSintaxisCFA
Create Item Groups for Factor Analysiscreate_groups
Create Initial Model ConfigurationcreateInitialModel
Analisis de Invarianza Factorial Simplificadoeasy_invariance
Modern Exploratory Factor AnalysisEFA_modern
Plot EFA Factor LoadingsEFA_plot
Exploratory Factor Analysis with Bootstrapefa_with_bootstrap
Extreme-Response Proportion by Itemerp_by_item
Export Summary Tables to Excelexport_summary_tables
Extract Fit Measures from Bootstrap CFA Resultsextract_bondad_boot_AFC
Extract Fit Measures from Bootstrap EFA Resultsextract_bondad_boot_EFA
Extract Excluded Items from Bootstrap Resultsextract_ExcludedItems_boot
Extract Factor Items for Lavaan Syntaxextract_f_items
Extract Fit Indices from Factor Analysisextract_fit
Extract Fit Measures from Lavaan Specificationsextract_fit_measures
Extract Modification Indices from CFA Resultsextract_ModIndex_AFC
Summarize Modification Indices Across Replicationsextract_summary_modifications
Extract All Fit Measures from Bootstrap ResultsextractAllFitMeasures
Extract All Inter-Factor Correlations from Bootstrap ResultsextractAllInterFactors
Extract All Results from Bootstrap AnalysisextractAllResults
Extract Items by Maximum Loadingextracted_items2
Extract Fit Metrics from Modelextraer_metricas
Create Factor Analysis Summaryfactor_summary
Combine Factor Data with Item Informationfactors_data_items
Filter Aberrant Response Patternsfiltrar_aberrantes
Create Fit Index Tablefit_index_Table
Generate Lavaan Model with Thresholdsgenerate_model_lavaan
Generate EFA Models for Multiple Factor Solutionsgenerate_modelos
Generate Summary Statisticsgenerate_summary
Generate Summary Tablegenerate_table
Average Variance Extracted and Composite Reliabilityget_ave_cr
Interpret Modification Index Decisionsinterpret_decision_SSV
Reverse Score Itemsinvertir_items
Create Lambda Matrix for CFAMatrix_lambda
Run Multiple CFA Modelsmulti_cfa
Plot CFA Stability Resultsplot_cfa_stability
Plot CFA Stability Results (Boxplot)plot_cfa_stability_box
Plot CFA Stability with Confidence Intervalsplot_cfa_stability_intervals
Plot CFA Stability with Grouped Intervalsplot_cfa_stability_intervals2
Grafico Pointrange de Estabilidad CFAplot_cfa_stability_pointrange
Grafico Ridgeline de Estabilidad CFAplot_cfa_stability_ridgeline
Plot Extreme-Response Proportionplot_erp
Plot Likert Scale ItemsPlot_Likert
Plot Likert Scale Items (Diverging Stacked Bar)Plot_Likert2
Chord diagram of distal-predictor by mediator associationsplot_mediation_chord
Donut panel of mediation proportions per parallel mediatorplot_mediation_donuts
Forest plot of direct, indirect, and total effects in a SEM modelplot_mediation_forest
Plot Multiple SEM Modelsplot_multi_sem
Path diagram for a CFA model (psychometric convention, ggplot2)plot_path_cfa
Path-mediation diagram for SEM models with multiple distal predictorsplot_path_mediation
Preliminary Response Frequency TablePreliminar_table
Launch the SemPowerLab Shiny Applicationrun_sempowerlab
Safe CFA Wrappersafe_cfa
Safe Fit Measures Extractionsafe_measures
Save Tables to Excel Filesave_to_excel_table
SMOTE Oversampling for Multiclass Datasmote_multiclass
Fit Multiple Lavaan Model Specificationsspecification_models
Split Data with Stratified Clusteringsplit_data_stratified_clustered
Split Data into Three Subsetssplit_data_three
Split Data into Two Subsetssplit_data_two
Standardized Factor Solutions for EFAStandardized_solutions
Standardized Factor Solutions for CFAStandardized_solutions_cfa
Summarize Column Statisticssummarise_column