Package: CohortCharacteristics 1.1.3

Martí Català

CohortCharacteristics: Summarise and Visualise Characteristics of Patients in the OMOP CDM

Summarise and visualise the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model (CDM).

Authors:Martí Català [aut, cre], Yuchen Guo [aut], Mike Du [ctb], Kim Lopez-Guell [aut], Edward Burn [aut], Nuria Mercade-Besora [aut], Marta Alcalde [aut]

CohortCharacteristics_1.1.3.tar.gz
CohortCharacteristics_1.1.3.zip(r-4.7)CohortCharacteristics_1.1.3.zip(r-4.6)CohortCharacteristics_1.1.3.zip(r-4.5)
CohortCharacteristics_1.1.3.tgz(r-4.6-any)CohortCharacteristics_1.1.3.tgz(r-4.5-any)
CohortCharacteristics_1.1.3.tar.gz(r-4.7-any)CohortCharacteristics_1.1.3.tar.gz(r-4.6-any)
CohortCharacteristics_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CohortCharacteristics/json (API)

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

Bug tracker:https://github.com/darwin-eu/cohortcharacteristics/issues

Pkgdown/docs site:https://darwin-eu.github.io

On CRAN:

Conda:

8.49 score 3 stars 2 packages 213 scripts 1.1k downloads 36 exports 28 dependencies

Last updated from:ef726aa6a3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK341
source / vignettesOK319
linux-release-x86_64OK331
macos-release-arm64OK232
macos-oldrel-arm64OK209
windows-develOK261
windows-releaseOK260
windows-oldrelOK262
wasm-releaseOK180

Exports:additionalColumnsavailablePlotColumnsavailableTableColumnsbenchmarkCohortCharacteristicsbindexportSummarisedResultgroupColumnsimportSummarisedResultmockCohortCharacteristicsplotCharacteristicsplotCohortAttritionplotCohortCountplotCohortOverlapplotCohortTimingplotComparedLargeScaleCharacteristicsplotLargeScaleCharacteristicssettingssettingsColumnsstrataColumnssummariseCharacteristicssummariseCohortAttritionsummariseCohortCodelistsummariseCohortCountsummariseCohortOverlapsummariseCohortTimingsummariseLargeScaleCharacteristicssuppresstableCharacteristicstableCohortAttritiontableCohortCodelisttableCohortCounttableCohortOverlaptableCohortTimingtableLargeScaleCharacteristicstableTopLargeScaleCharacteristicstidy

Dependencies:blobcliclockcpp11DBIdbplyrdplyrgenericsgluelifecyclemagrittromopgenericsPatientProfilespillarpkgconfigpurrrR6rlangsnakecasestringistringrtibbletidyrtidyselecttzdbutf8vctrswithr

Summarise patient characteristics
Introduction | Summarising study cohorts | Stratified summaries | Summaries including presence in other cohorts | Summaries Using Concept Sets Directly | Summaries using clinical tables
Rendered fromsummarise_characteristics.Rmdusingknitr::rmarkdown

Last update: 2025-11-19
Started: 2024-09-28

Summarise cohort overlap
Rendered fromsummarise_cohort_overlap.Rmdusingknitr::rmarkdown

Last update: 2025-10-13
Started: 2024-09-28

Summarise cohort timing
Rendered fromsummarise_cohort_timing.Rmdusingknitr::rmarkdown

Last update: 2025-10-13
Started: 2024-09-28

Summarise large scale characteristics
Introduction | Large scale characteristics of study cohorts | Stratified large scale characteristics | Plot large scale characteristics
Rendered fromsummarise_large_scale_characteristics.Rmdusingknitr::rmarkdown

Last update: 2025-10-13
Started: 2024-09-28

Readme and manuals

Help Manual

Help pageTopics
Available columns to use in 'facet' and 'colour' arguments in plot functions.availablePlotColumns
Available columns to use in 'header', 'groupColumn' and 'hide' arguments in table functions.availableTableColumns
Benchmark the main functions of CohortCharacteristics package.benchmarkCohortCharacteristics
It creates a mock database for testing CohortCharacteristics packagemockCohortCharacteristics
Create a ggplot from the output of summariseCharacteristics.plotCharacteristics
create a ggplot from the output of summariseLargeScaleCharacteristics.plotCohortAttrition
Plot the result of summariseCohortCount.plotCohortCount
Plot the result of summariseCohortOverlap.plotCohortOverlap
Plot summariseCohortTiming results.plotCohortTiming
create a ggplot from the output of summariseLargeScaleCharacteristics.plotComparedLargeScaleCharacteristics
create a ggplot from the output of summariseLargeScaleCharacteristics.plotLargeScaleCharacteristics
Summarise characteristics of cohorts in a cohort tablesummariseCharacteristics
Summarise attrition associated with cohorts in a cohort tablesummariseCohortAttrition
Summarise the cohort codelist attributesummariseCohortCodelist
Summarise counts for cohorts in a cohort tablesummariseCohortCount
Summarise overlap between cohorts in a cohort tablesummariseCohortOverlap
Summarise timing between entries into cohorts in a cohort tablesummariseCohortTiming
This function is used to summarise the large scale characteristics of a cohort tablesummariseLargeScaleCharacteristics
Format a summarise_characteristics object into a visual table.tableCharacteristics
Create a visual table from the output of summariseCohortAttrition.tableCohortAttrition
Create a visual table from <summarised_result> object from 'summariseCohortCodelist()'tableCohortCodelist
Format a summarise_characteristics object into a visual table.tableCohortCount
Format a summariseOverlapCohort result into a visual table.tableCohortOverlap
Format a summariseCohortTiming result into a visual table.tableCohortTiming
Explore and compare the large scale characteristics of cohortstableLargeScaleCharacteristics
Visualise the top concepts per each cdm name, cohort, statification and window.tableTopLargeScaleCharacteristics