Package: visOmopResults 1.5.0

Núria Mercadé-Besora

visOmopResults: Graphs and Tables for OMOP Results

Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.

Authors:Martí Català [aut], Núria Mercadé-Besora [aut, cre], Yuchen Guo [ctb], Elin Rowlands [ctb], Marta Alcalde-Herraiz [ctb], Edward Burn [ctb]

visOmopResults_1.5.0.tar.gz
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visOmopResults_1.5.0.tgz(r-4.6-any)visOmopResults_1.5.0.tgz(r-4.5-any)
visOmopResults_1.5.0.tar.gz(r-4.7-any)visOmopResults_1.5.0.tar.gz(r-4.6-any)
visOmopResults_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
visOmopResults/json (API)

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

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

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

Datasets:
  • data - List of mock results

On CRAN:

Conda:

7.44 score 1 packages 116 scripts 1.1k downloads 49 exports 30 dependencies

Last updated from:4684ebfa34. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK216
source / vignettesOK268
linux-release-x86_64OK188
macos-release-arm64OK126
macos-oldrel-arm64OK170
windows-develOK157
windows-releaseOK147
windows-oldrelOK136
wasm-releaseOK132

Exports:additionalColumnsaddSettingsalluvialPlotbarPlotbindboxPlotcustomiseTextemptyPlotemptyTableexportSummarisedResultfilterAdditionalfilterGroupfilterSettingsfilterStrataformatEstimateNameformatEstimateValueformatHeaderformatMinCellCountformatTablegroupColumnsimportSummarisedResultmockSummarisedResultpivotEstimatesplotColumnsplotStyleplotTypescatterPlotsetGlobalPlotOptionssetGlobalTableOptionssettingssettingsColumnssplitAdditionalsplitAllsplitGroupsplitStratastrataColumnssuppresstableColumnstableOptionstableStyletableTypethemeVisOmoptidytidyColumnsuniteAdditionaluniteGroupuniteStratavisOmopTablevisTable

Dependencies:base64encblobbrand.ymlclicpp11DBIdbplyrdplyrgenericsgluejsonlitelifecyclemagrittromopgenericspillarpkgconfigpurrrR6rlangsnakecasestringistringrsystemfontstibbletidyrtidyselectutf8vctrswithryaml

Plots
Plotting with a | Plotting principles for objects | Scatter plot | Bar plot | Box plot | Alluvial plot | Plotting style | Plotting with a | Custom plotting | Combine with ggplot2 | Combine with plotly

Last update: 2026-05-18
Started: 2025-01-15

Quarto reports
Quarto document settings | Characterisation results | Incidence results | Additional results | Captions and footers | In Markdown | In an R code chunk | Report example

Last update: 2026-05-18
Started: 2025-10-04

Styles
Introduction | Branding styles using .yml | .yml structure | Style hierarchy | Applying styles to tables and plots | Use of _brand.yml | Alternative style customisation | Tables | Plots | Using non-registered font families in ggplot2 | 1. Install the font in the system | 2. Register the font | 3. Create plots with styles that use the font | Important notes | Final remarks

Last update: 2026-05-18
Started: 2025-11-07

Tables
Introduction | Overview of table functions | Main table functions | visTable() — format any data.frame | visOmopTable() — specialized for | Using .options | Formatting functions (the format*() family) | formatMinCellCount() — suppressed estimates | formatEstimateValue() — numeric formatting | formatEstimateName() — combine and order estimates | formatHeader() — multi-level headers | formatTable() — render the final table | Notes & recommendations

Last update: 2025-11-07
Started: 2025-01-15

Shiny Apps
Set up | Mock data | Shiny App: User Inteface | Example UI Code | Shiny App: Server | 1) Baseline characteristics | 2) Large Scale characteristics | 3) Incidence | Example Server Code | Run App

Last update: 2025-10-13
Started: 2025-10-04

Readme and manuals

Help Manual

Help pageTopics
Create an alluvial plot visualisation from a data frame or a <summarised_result> object.alluvialPlot
Create a bar plot visualisation from a data frame or a <summarised_result> object.barPlot
Create a box plot visualisation from a data frame or a <summarised_result> object.boxPlot
Apply styling to text or column namescustomiseText
List of mock resultsdata
Returns an empty plotemptyPlot
Returns an empty tableemptyTable
Formats estimate_name and estimate_value columnformatEstimateName
Formats the estimate_value columnformatEstimateValue
Create a header for gt and flextable objectsformatHeader
To indicate which was the minimum cell counts where estimates have been suppressed.formatMinCellCount
Creates a flextable or gt object from a dataframeformatTable
A <summarised_result> object filled with mock datamockSummarisedResult
Columns for the plot functionsplotColumns
Pre-defined styles are available for plotsplotStyle
Supported plot typesplotType
Create a scatter plot visualisation from a data frame or a <summarised_result> object.scatterPlot
Set format options for all subsequent plotssetGlobalPlotOptions
Set format options for all subsequent tablessetGlobalTableOptions
Columns for the table functionstableColumns
Additional table formatting options for 'visOmopTable()' and 'visTable()'tableOptions
Pre-defined styles are available for tablestableStyle
Supported table classestableType
Apply a pre-defined visOmopResults theme to a ggplotthemeVisOmop
Generate a formatted table from a <summarised_result>visOmopTable
Generate a formatted table from a <data.table>visTable