Package: complexr 1.0.1

complexr: 'Shiny' Interface for Complex Survey Data Analysis

Provides a 'Shiny'-based interactive interface for the analysis of complex survey data, implementing design-based inference methods as described in Lumley (2004) <doi:10.18637/jss.v009.i08>. The package supports data ingestion from multiple file formats, construction and diagnosis of complex survey designs with stratification and clustering, and estimation of means, totals, and proportions with associated standard errors and confidence intervals. A multilingual interface facilitates the exploration of survey results without requiring specialized programming knowledge.

Authors:Stalyn Guerrero Gómez [aut, cre]

complexr_1.0.1.tar.gz
complexr_1.0.1.zip(r-4.7)complexr_1.0.1.zip(r-4.6)complexr_1.0.1.zip(r-4.5)
complexr_1.0.1.tgz(r-4.6-any)complexr_1.0.1.tgz(r-4.5-any)
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complexr_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
complexr/json (API)

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

Bug tracker:https://github.com/stalynguerrero/complexr/issues

On CRAN:

Conda:

4.60 score 3 scripts 12 exports 89 dependencies

Last updated from:2d4d3e15b3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK162
source / vignettesOK200
linux-release-x86_64OK164
macos-release-arm64OK160
macos-oldrel-arm64OK164
windows-develOK124
windows-releaseOK99
windows-oldrelOK95
wasm-releaseOK182

Exports:as_survey_design_tbldescribe_survey_designestimate_surveyformat_results_tablegenerate_example_datai18n_loadi18n_tmutate_survey_dataplot_results_barread_survey_datarun_appvalidate_simulation

Dependencies:base64encbitbit64bslibcachemcellrangerclicliprcommonmarkcpp11crayoncrosstalkDBIdigestdplyrDTevaluatefarverfastmapfontawesomeforcatsfsgenericsggplot2gluegtablehavenhighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMatrixmemoisemimeminqamitoolsnumDerivotelpillarpkgconfigprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppRcppArmadilloreadrreadxlrematchrlangrmarkdownS7sassscalesshinysourcetoolssrvyrstringistringrsurveysurvivaltibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrwritexlxfunxtableyaml

complexr: Análisis de Datos de Encuestas Complejas
Descripción general | Marco conceptual y notación | Población y muestra | Pesos de diseño y pesos ajustados | Estimador de Horvitz–Thompson | Varianza bajo el enfoque de diseño | Diseño estratificado multietápico | Efecto del diseño (DEFF) | Instalación | Datos simulados | Variables | Jerarquía y consistencia interna | Lectura de datos externos | Derivación de variables | Diseño muestral | Construcción del objeto de diseño | Diagnóstico del diseño | Estimación | Media poblacional | Total poblacional | Proporciones | Variable binaria | Variable categórica multinomial | Estimador de razón | Cuantiles | Estimación por dominios | Efecto de diseño de dominio | Presentación de resultados | Visualización | Aplicación Shiny | Ejemplo de flujo de trabajo completo | Información de la sesión | Referencias
Rendered fromintro_es.Rmdusingknitr::rmarkdown

Last update: 2026-05-06
Started: 2026-05-06

complexr: Analysis of Complex Survey Data
Overview | Conceptual Framework and Notation | Population and Sample | Design Weights and Adjusted Weights | Horvitz–Thompson Estimator | Design-Based Variance | Stratified Multistage Design | Design Effect (DEFF) | Installation | Simulated Data | Variables | Hierarchy and Internal Consistency | Reading External Data | Deriving Variables | Survey Design | Building a Design Object | Diagnosing the Design | Estimation | Population Mean | Population Total | Proportions | Binary Variable | Multinomial Categorical Variable | Ratio Estimator | Quantiles | Domain Estimation | Domain Design Effect | Formatting Results | Visualisation | Shiny Application | Complete Workflow Example | Session Information | References
Rendered fromintro_en.Rmdusingknitr::rmarkdown

Last update: 2026-05-06
Started: 2026-05-06