This package is considered a duplicate. The official version of this package is found at:https://vinodhpmd.r-universe.dev/EpiQuestionR

Package: EpiQuestionR 0.1.2

Vinodh Kumar Obli Rajendran

EpiQuestionR: Questionnaire Analysis for Epidemiology and One Health Research

Provides tools for the analysis of questionnaire and survey data in epidemiological and One Health research. The package supports data preparation, reliability assessment, exploratory factor analysis, Kaiser-Meyer-Olkin assessment, parallel analysis, visualization, reporting, and export of results using a consistent analysis workflow. The methods are based on established approaches to psychometric and multivariate analysis; see Kaiser (1974) <doi:10.1007/BF02291575>, Horn (1965) <doi:10.1007/BF02289447>, and Tabachnick and Fidell (2019, ISBN:9780134790541).

Authors:Vinodh Kumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]

EpiQuestionR_0.1.2.tar.gz
EpiQuestionR_0.1.2.zip(r-4.7-any)EpiQuestionR_0.1.2.zip(r-4.6-any)
EpiQuestionR_0.1.2.tar.gz(r-4.7-any)EpiQuestionR_0.1.2.tar.gz(r-4.6-any)
EpiQuestionR_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
EpiQuestionR/json (API)

# Install 'EpiQuestionR' in R:

install.packages('EpiQuestionR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vinodhpmd/epiquestionr/issues

Datasets:

questionnaire_data - Example Questionnaire Dataset

On CRAN:

2.30 score 361 downloads 76 exports 34 dependencies

Last updated from:90c9aa817d. Checks:6 OK. Indexed: no.

Target	Result	Time
linux-devel	OK	358
source / vignettes	OK	309
linux-release	OK	308
windows-devel	OK	355
windows-release	OK	336
wasm-release	OK	184

Exports:as_datatable as_flextable as_gt as_kable bic communalities communality_plot complexity efa efa_fit eigenvalue_plot eigenvalues export_kaiser_csv export_kaiser_excel export_kaiser_json export_kaiser_markdown export_kaiser_yaml export_map export_map_csv export_map_excel export_map_report export_parallel export_parallel_report factor_correlation_plot factor_loadings factor_scores kaiser_caption kaiser_criterion kaiser_footnote kaiser_notes kaiser_summary_table kaiser_table load_kaiser loading_heatmap map_analysis_example map_eigenvalue_table map_interpretation map_report_table map_table map_test nfactors parallel_analysis parallel_interpret parallel_plot parallel_report parallel_report_text parallel_retention_table parallel_summary_table parallel_table parallel_variance_table plot_eigenvalues plot_kaiser plot_variance report_kaiser report_map residual_matrix retained_components rmsea rmsr save_communality_plot save_efa_plot save_eigenvalue_plot save_factor_correlation_plot save_kaiser save_loading_heatmap save_uniqueness_plot save_variance_explained_plot scree_plot sensitivity_analysis simulate_parallel_data tli uniqueness uniqueness_plot variance_explained variance_explained_plot variance_table

Dependencies:cli cpp11 farver generics ggplot2 glue GPArotation gtable isoband labeling lattice lavaan lifecycle magrittr MASS Matrix mnormt nlme numDeriv pbivnorm pillar pkgconfig psych quadprog R6 RColorBrewer rlang S7 scales tibble utf8 vctrs viridisLite withr

getting-started

Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-09-10
Started: 2026-09-10

Help page	Topics
Interactive HTML Table	as_datatable
Convert Kaiser Table to flextable	as_flextable
Convert Kaiser Table to gt	as_gt
Convert to knitr::kable	as_kable
Convert to tibble	as_tibble.epi_kaiser
Convert Kaiser Result to Data Frame	as.data.frame.epi_kaiser
Convert a Velicer MAP Test to a Data Frame	as.data.frame.epi_map
Extract Eigenvalue Table	as.matrix.epi_kaiser
Augment Original Dataset	augment.epi_kaiser
Augment an EpiQuestionR Parallel Analysis	augment.epi_parallel
Autoplot a Kaiser Criterion Analysis	autoplot.epi_kaiser
Autoplot a Velicer MAP Test	autoplot.epi_map
Automatically Plot an EpiQuestionR Parallel Analysis	autoplot.epi_parallel
Bayesian Information Criterion	bic
Extract Eigenvalues	coef.epi_kaiser
Extract the Recommended Number of Components	coef.epi_map
Extract Eigenvalues from an EpiQuestionR Parallel Analysis	coef.epi_parallel
Communalities	communalities
Communality Plot	communality_plot
Item Complexity	complexity
Exploratory Factor Analysis	efa
EFA Fit Statistics	efa_fit
Eigenvalue Plot	eigenvalue_plot
Eigenvalues	eigenvalues
Export Kaiser Results to CSV	export_kaiser_csv
Export Kaiser Results to Excel	export_kaiser_excel
Export Kaiser Results to JSON	export_kaiser_json
Export Markdown Report	export_kaiser_markdown
Export Kaiser Results to YAML	export_kaiser_yaml
Export Velicer MAP Test Results	export_map
Export Velicer MAP Results to CSV	export_map_csv
Export Velicer MAP Results to Excel	export_map_excel
Export a Velicer MAP Narrative Report	export_map_report
Export an EpiQuestionR Parallel Analysis Object	export_parallel
Export a Parallel Analysis Report	export_parallel_report
Export Parallel Analysis Tables	export_parallel_tables
Factor Correlation Heatmap	factor_correlation_plot
Extract Factor Loadings	factor_loadings
Factor Scores	factor_scores
Glance at a Kaiser Criterion Object	glance.epi_kaiser
Glance at a Velicer MAP Test	glance.epi_map
Glance at an EpiQuestionR Parallel Analysis	glance.epi_parallel
APA Caption	kaiser_caption
Kaiser Criterion for Factor Retention	kaiser_criterion
Kaiser Table Footnote	kaiser_footnote
Table Notes	kaiser_notes
Kaiser Summary Table	kaiser_summary_table
Kaiser Criterion Table	kaiser_table
Load Kaiser Object	load_kaiser
Factor Loading Heatmap	loading_heatmap
Example Velicer MAP Analysis	map_analysis_example
Extract an Eigenvalue Table from a Velicer MAP Test	map_eigenvalue_table
Interpret a Velicer MAP Test	map_interpretation
Create a Publication Summary Table for Velicer's MAP Test	map_report_table
Extract a Velicer MAP Results Table	map_table
Velicer's Minimum Average Partial (MAP) Test	map_test
Number of Retained Factors	nfactors
Horn's Parallel Analysis	parallel_analysis
Interpret Horn's Parallel Analysis Results	parallel_interpret
Parallel Analysis Plot	parallel_plot
Generate a Parallel Analysis Report	parallel_report
Extract Text from a Parallel Analysis Report	parallel_report_text
Create a Parallel Analysis Retention Table	parallel_retention_table
Create a Parallel Analysis Summary Table	parallel_summary_table
Create a Parallel Analysis Results Table	parallel_table
Create a Variance Explained Table	parallel_variance_table
Eigenvalue Bar Plot	plot_eigenvalues
Plot Dispatcher	plot_kaiser
Variance Explained Plot	plot_variance
Plot EFA Results	plot.epi_efa
Scree Plot for Kaiser Criterion	plot.epi_kaiser
Plot a Velicer MAP Test	plot.epi_map
Plot an EpiQuestionR Parallel Analysis	plot.epi_parallel
Print EFA Results	print.epi_efa
Print Kaiser Criterion Results	print.epi_kaiser
Print a Velicer MAP Test	print.epi_map
Print an EpiQuestionR Parallel Analysis	print.epi_parallel
Print an EpiQuestionR Parallel Analysis Report	print.epi_parallel_report
Print a Parallel Analysis Summary	print.summary_epi_parallel
Print a Summary of a Velicer MAP Test	print.summary.epi_map
Example Questionnaire Dataset	questionnaire_data
Reporting Sentence	report_kaiser
Report a Velicer MAP Test	report_map
Residual Correlation Matrix	residual_matrix
Retained Components	retained_components
RMSEA	rmsea
RMSR	rmsr
Save Communality Plot	save_communality_plot
Save EFA Plot	save_efa_plot
Save Eigenvalue Plot	save_eigenvalue_plot
Save Factor Correlation Plot	save_factor_correlation_plot
Save Kaiser Criterion Object	save_kaiser
Save Loading Heatmap	save_loading_heatmap
Save Uniqueness Plot	save_uniqueness_plot
Save Variance Explained Plot	save_variance_explained_plot
Scree Plot	scree_plot
Sensitivity Analysis for Parallel Analysis	sensitivity_analysis
Simulate Example Questionnaire Data	simulate_parallel_data
Summary of EFA	summary.epi_efa
Summarize a Kaiser Criterion Analysis	summary.epi_kaiser
Summarize a Velicer MAP Test	summary.epi_map
Summarize an EpiQuestionR Parallel Analysis	summary.epi_parallel
Tidy Kaiser Criterion Results	tidy.epi_kaiser
Tidy a Velicer MAP Test	tidy.epi_map
Tidy an EpiQuestionR Parallel Analysis	tidy.epi_parallel
Tidy a Summary of a Velicer MAP Test	tidy.summary.epi_map
Tucker Lewis Index	tli
Uniqueness	uniqueness
Uniqueness Plot	uniqueness_plot
Variance Explained	variance_explained
Variance Explained Plot	variance_explained_plot
Variance Explained for EFA	variance_explained.epi_efa
Variance Explained Table	variance_table

Package: EpiQuestionR 0.1.2

EpiQuestionR: Questionnaire Analysis for Epidemiology and One Health Research

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)