Package: whomds 1.1.1.9000

whomds: Calculate Results from WHO Model Disability Survey Data

The Model Disability Survey (MDS) <https://www.who.int/activities/collection-of-data-on-disability> is a World Health Organization (WHO) general population survey instrument to assess the distribution of disability within a country or region, grounded in the International Classification of Functioning, Disability and Health <https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health>. This package provides fit-for-purpose functions for calculating and presenting the results from this survey, as used by the WHO. The package primarily provides functions for implementing Rasch Analysis (see Andrich (2011) <doi:10.1586/erp.11.59>) to calculate a metric scale for disability.

Authors:Lindsay Lee [aut, cre], Carolina Fellinghauer [ctb], World Health Organization [cph]

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whomds/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/lindsayevanslee/whomds/issues

Datasets:
  • df_adults - Example of WHO Model Disability Survey data for adults
  • df_children - Example of WHO Model Disability Survey data for children

On CRAN:

5.43 score 3 stars 15 scripts 192 downloads 27 exports 82 dependencies

Last updated 1 years agofrom:4c3afa13ae. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winNOTENov 19 2024
R-4.5-linuxNOTENov 19 2024
R-4.4-winNOTENov 19 2024
R-4.4-macNOTENov 19 2024
R-4.3-winNOTENov 19 2024
R-4.3-macNOTENov 19 2024

Exports:fig_densityfig_distfig_LIDfig_poppyramidhelper_indicatorhelper_rowSumsrasch_df_nestrasch_DIFrasch_droprasch_factorrasch_mdsrasch_mds_childrenrasch_modelrasch_model_childrenrasch_quality_childrenrasch_quality_children_printrasch_rawscorerasch_recoderasch_rescalerasch_rescale_childrenrasch_splitrasch_split_agerasch_testletSepRel_1.0.1table_basicstatstable_unweightedpctntable_weightedpct

Dependencies:admiscbitbit64cachemCDMclicliprcolorspacecpp11crayonDBIdplyreRmfansifarverfastmapgenericsggforceggplot2ggraphggrepelglueGPArotationgraphlayoutsgridExtragtablehmsigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvminqamitoolsmnormtmunsellmvtnormnFactorsnlmenumDerivpillarpkgconfigplyrpolyclippolycorprettyunitsprogresspsychpurrrR6RColorBrewerRcppRcppArmadilloRcppEigenreadrrlangscalessrvyrstringistringrsurveysurvivalsystemfontsTAMtibbletidygraphtidyrtidyselecttweenrtzdbutf8vctrsviridisviridisLitevroomwithrWrightMap

1 - Antecedentes sobre la medición de discapacidad

Rendered fromc1_background_ES.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2022-05-24
Started: 2020-02-07

1 - Background on disability measurement

Rendered fromc1_background_EN.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2022-05-24
Started: 2020-02-07

2 - Empezar con el paquete de OMS para Análisis Rasch

Rendered fromc2_getting_started_ES.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2023-09-07
Started: 2020-02-07

2 - Getting started with WHO package for Rasch Analysis

Rendered fromc2_getting_started_EN.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2023-09-07
Started: 2020-02-07

3 - Análisis Rasch con los datos de adultos de MDS

Rendered fromc3_rasch_adults_ES.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2020-08-01
Started: 2020-02-07

3 - Rasch Analysis for MDS data from adults

Rendered fromc3_rasch_adults_EN.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2020-08-01
Started: 2020-02-07

4 - Análisis Rasch con los datos de niños de MDS

Rendered fromc4_rasch_children_ES.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2020-08-01
Started: 2020-02-07

4 - Rasch Analysis for MDS data from children

Rendered fromc4_rasch_children_EN.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2020-08-01
Started: 2020-02-07

5 - Best practices with Rasch Analysis

Rendered fromc5_best_practices_EN.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2020-02-07
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5 - Mejores prácticas con Análisis Rasch

Rendered fromc5_best_practices_ES.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2020-02-07
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6 - After Rasch Analysis: Descriptive Analysis

Rendered fromc6_after_rasch_EN.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2022-05-24
Started: 2020-02-07

6 - Después de Análisis Rasch: Análisis descriptivo

Rendered fromc6_after_rasch_ES.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2022-05-24
Started: 2020-02-07

Readme and manuals

Help Manual

Help pageTopics
Example of WHO Model Disability Survey data for adultsdf_adults
Example of WHO Model Disability Survey data for childrendf_children
Plot a density of a scorefig_density
Plot a distribution of a scorefig_dist
Print a graph showing significant correlations between survey itemsfig_LID
Print a population pyramidfig_poppyramid
Check a vector for particular valueshelper_checkrow
Create indicators from data framehelper_indicator
Check installation of whomds is the most updatedhelper_installation
Color palette for the MDShelper_palette
Perform row sumhelper_rowSums
Convert list to vector with unique elementshelper_varslist
Nest data by age grouprasch_df_nest
Perform analysis of Differential Item Functioning (DIF) for Rasch Modelrasch_DIF
Drop items from a Rasch Analysisrasch_drop
Calculate a factor analysis for a Rasch Modelrasch_factor
Top-level function to perform Rasch Analysis on WHO Model Disability Survey datarasch_mds
Top-level function to perform Rasch Analysis on WHO Model Disability Survey data for childrenrasch_mds_children
Run the Rasch Model and print diagnostic resultsrasch_model
Run the multigroup and anchored Rasch Modelrasch_model_children
Calculate quality of multigroup and anchored Rasch Modelsrasch_quality_children
Print results of analysis of Rasch Model qualityrasch_quality_children_print
Add the raw scores to the data and artificial individuals attaining the minimum and/or maximumrasch_rawscore
Recode survey items for use in Rasch Analysisrasch_recode
Rescale score from Rasch Analysis to range from 0 to 100rasch_rescale
Rescale score from Rasch Analysis for children to range from 0 to 100rasch_rescale_children
Split survey items by categories for a Rasch Modelrasch_split
Split all survey items by age category for a Rasch Model if they are not discreterasch_split_age
Create testlets of survey items for a Rasch Modelrasch_testlet
Separation Reliability: Person Separation ReliabilitySepRel_1.0.1
Compute basic statistics of the number of members per group per householdtable_basicstats
Compute unweighted percent and N for multiple variables, disaggregatedtable_unweightedpctn
Calculate table of percentages or N of response distribution for survey items, survey weighted, disaggregatedtable_weightedpct