| Title: | Graphs and Tables for OMOP Results |
| Version: | 1.3.0 |
| Maintainer: | Núria Mercadé-Besora <nuria.mercadebesora@ndorms.ox.ac.uk> |
| Description: | 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. |
| License: | Apache License (≥ 2) |
| URL: | https://darwin-eu.github.io/visOmopResults/, https://github.com/darwin-eu/visOmopResults |
| BugReports: | https://github.com/darwin-eu/visOmopResults/issues |
| Imports: | cli, dplyr, generics, glue, omopgenerics (≥ 0.3.1), purrr, rlang, stringr, tidyr |
| Suggests: | bslib, CohortCharacteristics, covr, DT, extrafont, flextable (≥ 0.9.5), ggplot2, gt, here, htmltools, IncidencePrevalence, knitr, lifecycle, officer, palmerpenguins, PatientProfiles, plotly, reactable, rmarkdown, shiny, shinycssloaders, shinyWidgets, sortable, testthat (≥ 3.0.0), tinytable (≥ 0.14.0) |
| VignetteBuilder: | knitr |
| Depends: | R (≥ 4.1) |
| Config/testthat/edition: | 3 |
| Config/testthat/parallel: | true |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.3 |
| LazyData: | true |
| NeedsCompilation: | no |
| Packaged: | 2025-10-03 15:53:16 UTC; nuriamb |
| Author: | Martí Català 
[aut],
Núria Mercadé-Besora
[aut, cre],
Yuchen Guo [ctb],
Elin Rowlands
[ctb],
Marta Alcalde-Herraiz
[ctb],
Edward Burn [ctb] |
| Repository: | CRAN |
| Date/Publication: | 2025-10-05 05:40:02 UTC |
visOmopResults: Graphs and Tables for OMOP Results
Description
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.
Author(s)
Maintainer: Núria Mercadé-Besora nuria.mercadebesora@ndorms.ox.ac.uk (ORCID)
Authors:
Martí Català marti.catalasabate@ndorms.ox.ac.uk (ORCID)
Other contributors:
Yuchen Guo yuchen.guo@ndorms.ox.ac.uk (ORCID) [contributor]
Elin Rowlands elin.rowlands@ndorms.ox.ac.uk (ORCID) [contributor]
Marta Alcalde-Herraiz marta.alcaldeherraiz@ndorms.ox.ac.uk (ORCID) [contributor]
Edward Burn edward.burn@ndorms.ox.ac.uk (ORCID) [contributor]
See Also
Useful links:
Report bugs at https://github.com/darwin-eu/visOmopResults/issues
Create a bar plot visualisation from a <summarised_result> object
Description
Create a bar plot visualisation from a <summarised_result> object
Usage
barPlot(
result,
x,
y,
width = NULL,
just = 0.5,
position = "dodge",
facet = NULL,
colour = NULL,
style = "default",
type = "ggplot",
label = character()
)
Arguments
result |
A |
x |
Column or estimate name that is used as x variable. |
y |
Column or estimate name that is used as y variable. |
width |
Bar width, as in |
just |
Adjustment for column placement, as in |
position |
Position of bars, can be either |
facet |
Variables to facet by, a formula can be provided to specify which variables should be used as rows and which ones as columns. |
colour |
Columns to use to determine the colours. |
style |
A character string defining the visual theme to apply to the plot.
You can set this to NULL to apply the standard ggplot2 default style,
or provide a name for one of the package's pre-defined styles. Refer to the
|
type |
The desired format of the output plot. See |
label |
Character vector with the columns to display interactively in
|
Value
A plot object.
Examples
result <- mockSummarisedResult() |> dplyr::filter(variable_name == "age")
barPlot(
result = result,
x = "cohort_name",
y = "mean",
facet = c("age_group", "sex"),
colour = "sex")
Create a box plot visualisation from a <summarised_result> object
Description
Create a box plot visualisation from a <summarised_result> object
Usage
boxPlot(
result,
x,
lower = "q25",
middle = "median",
upper = "q75",
ymin = "min",
ymax = "max",
facet = NULL,
colour = NULL,
style = "default",
type = "ggplot",
label = character()
)
Arguments
result |
A |
x |
Column or estimate name that is used as x variable. |
lower |
Estimate name for the lower quantile of the box. |
middle |
Estimate name for the middle line of the box. |
upper |
Estimate name for the upper quantile of the box. |
ymin |
Lower limit of error bars, if provided is plot using
|
ymax |
Upper limit of error bars, if provided is plot using
|
facet |
Variables to facet by, a formula can be provided to specify which variables should be used as rows and which ones as columns. |
colour |
Columns to use to determine the colours. |
style |
A character string defining the visual theme to apply to the plot.
You can set this to NULL to apply the standard ggplot2 default style,
or provide a name for one of the package's pre-defined styles. Refer to the
|
type |
The desired format of the output plot. See |
label |
Character vector with the columns to display interactively in
|
Value
A ggplot2 object.
Examples
dplyr::tibble(year = "2000", q25 = 25, median = 50, q75 = 75, min = 0, max = 100) |>
boxPlot(x = "year")
Apply styling to text or column names
Description
This function styles character vectors or column names in a data frame. The styling function can be customised, or you can provide specific replacements for certain values.
Usage
customiseText(
x,
fun = function(x) stringr::str_to_sentence(gsub("_", " ", x)),
custom = NULL,
keep = NULL
)
Arguments
x |
A character vector to style text. |
fun |
A styling function to apply to text in |
custom |
A named character vector indicating custom names for specific
values in |
keep |
Either a character vector of names to keep unchanged. If NULL, all names will be styled. |
Value
A character vector of styled text or a data frame with styled column names.
Examples
# Styling a character vector
customiseText(c("some_column_name", "another_column"))
# Custom styling for specific values
customiseText(x = c("some_column", "another_column"),
custom = c("Custom Name" = "another_column"))
# Keeping specific values unchanged
customiseText(x = c("some_column", "another_column"), keep = "another_column")
# Styling column names and variables in a data frame
dplyr::tibble(
some_column = c("hi_there", "rename_me", "example", "to_keep"),
another_column = 1:4,
to_keep = "as_is"
) |>
dplyr::mutate(
"some_column" = customiseText(some_column, custom = c("EXAMPLE" = "example"), keep = "to_keep")
) |>
dplyr::rename_with(.fn = ~ customiseText(.x, keep = "to_keep"))
List of mock results
Description
List of mock results
Usage
data
Format
A list of mock results for quarto and shiny vignette examples
Returns an empty plot
Description
Returns an empty plot
Usage
emptyPlot(title = "No data to plot", subtitle = "", type = "ggplot")
Arguments
title |
Title to use in the empty plot. |
subtitle |
Subtitle to use in the empty plot. |
type |
The desired format of the output plot. See |
Value
An empty ggplot object
Examples
emptyPlot()
Returns an empty table
Description
Returns an empty table
Usage
emptyTable(type = "gt")
Arguments
type |
The desired format of the output table. See |
Value
An empty table of the class specified in type
Examples
emptyTable(type = "flextable")
Formats estimate_name and estimate_value column
Description
Formats estimate_name and estimate_value columns by changing the name of the estimate name and/or joining different estimates together in a single row.
Usage
formatEstimateName(
result,
estimateName = NULL,
keepNotFormatted = TRUE,
useFormatOrder = TRUE
)
Arguments
result |
A |
estimateName |
Named list of estimate name's to join, sorted by computation order. Indicate estimate_name's between <...>. |
keepNotFormatted |
Whether to keep rows not formatted. |
useFormatOrder |
Whether to use the order in which estimate names appear in the estimateName (TRUE), or use the order in the input dataframe (FALSE). |
Value
A <summarised_result> object.
Examples
result <- mockSummarisedResult()
result |>
formatEstimateName(
estimateName = c(
"N (%)" = "<count> (<percentage>%)", "N" = "<count>"
),
keepNotFormatted = FALSE
)
Formats the estimate_value column
Description
Formats the estimate_value column of <summarised_result> object by editing
number of decimals, decimal and thousand/millions separator marks.
Usage
formatEstimateValue(
result,
decimals = c(integer = 0, numeric = 2, percentage = 1, proportion = 3),
decimalMark = ".",
bigMark = ","
)
Arguments
result |
A |
decimals |
Number of decimals per estimate type (integer, numeric, percentage, proportion), estimate name, or all estimate values (introduce the number of decimals). |
decimalMark |
Decimal separator mark. |
bigMark |
Thousand and millions separator mark. |
Value
A <summarised_result>.
Examples
result <- mockSummarisedResult()
result |> formatEstimateValue(decimals = 1)
result |> formatEstimateValue(decimals = c(integer = 0, numeric = 1))
result |>
formatEstimateValue(decimals = c(numeric = 1, count = 0))
Create a header for gt and flextable objects
Description
Pivots a <summarised_result> object based on the column names in header,
generating specific column names for subsequent header formatting in
formatTable function.
Usage
formatHeader(
result,
header,
delim = "\n",
includeHeaderName = TRUE,
includeHeaderKey = TRUE
)
Arguments
result |
A |
header |
Names of the variables to make headers. |
delim |
Delimiter to use to separate headers. |
includeHeaderName |
Whether to include the column name as header. |
includeHeaderKey |
Whether to include the header key (header, header_name, header_level) before each header type in the column names. |
Value
A tibble with rows pivotted into columns with key names for subsequent header formatting.
Examples
result <- mockSummarisedResult()
result |>
formatHeader(
header = c(
"Study cohorts", "group_level", "Study strata", "strata_name",
"strata_level"
),
includeHeaderName = FALSE
)
To indicate which was the minimum cell counts where estimates have been suppressed.
Description
To indicate which was the minimum cell counts where estimates have been suppressed.
Usage
formatMinCellCount(result)
Arguments
result |
A |
Examples
result <- mockSummarisedResult()
result |> formatMinCellCount()
Creates a flextable or gt object from a dataframe
Description
Creates a flextable object from a dataframe using a delimiter to span the header, and allows to easily customise table style.
Usage
formatTable(
x,
type = "gt",
delim = "\n",
style = "default",
na = "-",
title = NULL,
subtitle = NULL,
caption = NULL,
groupColumn = NULL,
groupAsColumn = FALSE,
groupOrder = NULL,
merge = NULL
)
Arguments
x |
A dataframe. |
type |
The desired format of the output table. See |
delim |
Delimiter to separate headers. |
style |
A character string or custom R code to define the visual formatting of the table. This argument can be provided in two ways:
|
na |
How to display missing values. Not used for "datatable" and "reactable". |
title |
Title of the table, or NULL for no title. Not used for "datatable". |
subtitle |
Subtitle of the table, or NULL for no subtitle. Not used for "datatable" and "reactable". |
caption |
Caption for the table, or NULL for no caption. Text in
markdown formatting style (e.g. |
groupColumn |
Columns to use as group labels, to see options use
*tidy: The tidy format applied to column names replaces "_" with a space and
converts to sentence case. Use |
groupAsColumn |
Whether to display the group labels as a column (TRUE) or rows (FALSE). Not used for "datatable" and "reactable" |
groupOrder |
Order in which to display group labels. Not used for "datatable" and "reactable". |
merge |
Names of the columns to merge vertically when consecutive row cells have identical values. Alternatively, use "all_columns" to apply this merging to all columns, or use NULL to indicate no merging. Not used for "datatable" and "reactable". |
Value
A formatted table of the class selected in "type" argument.
Examples
# Example 1
mockSummarisedResult() |>
formatEstimateValue(decimals = c(integer = 0, numeric = 1)) |>
formatHeader(
header = c("Study strata", "strata_name", "strata_level"),
includeHeaderName = FALSE
) |>
formatTable(
type = "flextable",
style = "default",
na = "--",
title = "fxTable example",
subtitle = NULL,
caption = NULL,
groupColumn = "group_level",
groupAsColumn = TRUE,
groupOrder = c("cohort1", "cohort2"),
merge = "all_columns"
)
# Example 2
mockSummarisedResult() |>
formatEstimateValue(decimals = c(integer = 0, numeric = 1)) |>
formatHeader(header = c("Study strata", "strata_name", "strata_level"),
includeHeaderName = FALSE) |>
formatTable(
type = "gt",
style = list("header" = list(
gt::cell_fill(color = "#d9d9d9"),
gt::cell_text(weight = "bold")),
"header_level" = list(gt::cell_fill(color = "#e1e1e1"),
gt::cell_text(weight = "bold")),
"column_name" = list(gt::cell_text(weight = "bold")),
"title" = list(gt::cell_text(weight = "bold"),
gt::cell_fill(color = "#c8c8c8")),
"group_label" = gt::cell_fill(color = "#e1e1e1")),
na = "--",
title = "gtTable example",
subtitle = NULL,
caption = NULL,
groupColumn = "group_level",
groupAsColumn = FALSE,
groupOrder = c("cohort1", "cohort2"),
merge = "all_columns"
)
A <summarised_result> object filled with mock data
Description
Creates an object of the class <summarised_result> with mock data
for illustration purposes.
Usage
mockSummarisedResult()
Value
An object of the class <summarised_result> with mock data.
Examples
mockSummarisedResult()
Columns for the plot functions
Description
Names of the columns that can be used in the input arguments for the plot functions.
Usage
plotColumns(result)
Arguments
result |
A |
Value
A character vector of supported columns for plots.
Examples
result <- mockSummarisedResult()
plotColumns(result)
Helper for consistent documentation of plots.
Description
Helper for consistent documentation of plots.
Arguments
result |
A |
x |
Column or estimate name that is used as x variable. |
y |
Column or estimate name that is used as y variable. |
width |
Bar width, as in |
just |
Adjustment for column placement, as in |
facet |
Variables to facet by, a formula can be provided to specify which variables should be used as rows and which ones as columns. |
colour |
Columns to use to determine the colours. |
group |
Columns to use to determine the group. |
label |
Character vector with the columns to display interactively in
|
style |
A character string defining the visual theme to apply to the plot.
You can set this to NULL to apply the standard ggplot2 default style,
or provide a name for one of the package's pre-defined styles. Refer to the
|
type |
The desired format of the output plot. See |
lower |
Estimate name for the lower quantile of the box. |
middle |
Estimate name for the middle line of the box. |
upper |
Estimate name for the upper quantile of the box. |
line |
Whether to plot a line using |
point |
Whether to plot points using |
ribbon |
Whether to plot a ribbon using |
ymin |
Lower limit of error bars, if provided is plot using
|
ymax |
Upper limit of error bars, if provided is plot using
|
position |
Position of bars, can be either |
Pre-defined styles are available for plots
Description
This function provides a list of pre-defined styles for plots that can then
be used in the style argument of the plot functions.
Usage
plotStyle()
Value
A character vector indicating the style names.
Examples
plotStyle()
Supported plot types
Description
This function returns the supported plot types that can be used in the
type argument of the plot functions.
Usage
plotType()
Value
A character vector of supported plot types.
Examples
tableType()
Objects exported from other packages
Description
These objects are imported from other packages. Follow the links below to see their documentation.
- generics
- omopgenerics
additionalColumns,addSettings,bind,exportSummarisedResult,filterAdditional,filterGroup,filterSettings,filterStrata,groupColumns,importSummarisedResult,pivotEstimates,settings,settingsColumns,splitAdditional,splitAll,splitGroup,splitStrata,strataColumns,suppress,tidy,tidyColumns,uniteAdditional,uniteGroup,uniteStrata
Get Calibri font for "darwin" plot style
Description
Imports and registers the Calibri font for use in ggplot2 plots when using the themeDarwin.
Usage
requireExtrafont(device = "win")
Arguments
device |
Character string indicating the graphics device to load the fonts into (e.g., "win", "pdf", "postscript"). Defaults to "win" (Windows). |
Details
This function is required only once per R installation or after installing a new font. It uses the extrafont package to map system fonts to R's graphics devices.
Value
Invisibly returns TRUE on successful registration.
Create a scatter plot visualisation from a <summarised_result> object
Description
Create a scatter plot visualisation from a <summarised_result> object
Usage
scatterPlot(
result,
x,
y,
line,
point,
ribbon,
ymin = NULL,
ymax = NULL,
facet = NULL,
colour = NULL,
style = "default",
type = "ggplot",
group = colour,
label = character()
)
Arguments
result |
A |
x |
Column or estimate name that is used as x variable. |
y |
Column or estimate name that is used as y variable. |
line |
Whether to plot a line using |
point |
Whether to plot points using |
ribbon |
Whether to plot a ribbon using |
ymin |
Lower limit of error bars, if provided is plot using
|
ymax |
Upper limit of error bars, if provided is plot using
|
facet |
Variables to facet by, a formula can be provided to specify which variables should be used as rows and which ones as columns. |
colour |
Columns to use to determine the colours. |
style |
A character string defining the visual theme to apply to the plot.
You can set this to NULL to apply the standard ggplot2 default style,
or provide a name for one of the package's pre-defined styles. Refer to the
|
type |
The desired format of the output plot. See |
group |
Columns to use to determine the group. |
label |
Character vector with the columns to display interactively in
|
Value
A plot object.
Examples
result <- mockSummarisedResult() |>
dplyr::filter(variable_name == "age")
scatterPlot(
result = result,
x = "cohort_name",
y = "mean",
line = TRUE,
point = TRUE,
ribbon = FALSE,
facet = age_group ~ sex)
Set format options for all subsequent plots
Description
Set format options for all subsequent plots unless state a different style in a specific function
Usage
setGlobalPlotOptions(style = NULL, type = NULL)
Arguments
style |
Character indicating which style to apply. Options are either
NULL (default ggplot style), or one of our pre-defined styles (refer to the
function |
type |
The desired format of the output plot. See |
Set format options for all subsequent tables
Description
Set format options for all subsequent tables unless state a different style in a specific function
Usage
setGlobalTableOptions(style = NULL, type = NULL)
Arguments
style |
A character string or custom R code to define the visual formatting of the table. This argument can be provided in two ways:
|
type |
The desired format of the output table. See |
Examples
setGlobalTableOptions(style = "darwin", type = "tinytable")
result <- mockSummarisedResult()
result |>
visOmopTable(
estimateName = c("N%" = "<count> (<percentage>)",
"N" = "<count>",
"Mean (SD)" = "<mean> (<sd>)"),
header = c("cohort_name"),
rename = c("Database name" = "cdm_name"),
groupColumn = strataColumns(result)
)
# drop global options:
setGlobalTableOptions(style = NULL, type = NULL)
Columns for the table functions
Description
Names of the columns that can be used in the input arguments for the table functions.
Usage
tableColumns(result)
Arguments
result |
A |
Value
A character vector of supported columns for tables.
Examples
result <- mockSummarisedResult()
tableColumns(result)
Helper for consistent documentation of tables.
Description
Helper for consistent documentation of tables.
Arguments
estimateName |
A named list of estimate names to join, sorted by
computation order. Use |
groupColumn |
Columns to use as group labels, to see options use
*tidy: The tidy format applied to column names replaces "_" with a space and
converts to sentence case. Use |
rename |
A named vector to customise column names, e.g., c("Database name" = "cdm_name"). The function renames all column names not specified here into a tidy* format. |
type |
The desired format of the output table. See |
columnOrder |
Character vector establishing the position of the columns in the formatted table. Columns in either header, groupColumn, or hide will be ignored. |
factor |
A named list where names refer to columns (see available columns
in |
style |
A character string or custom R code to define the visual formatting of the table. This argument can be provided in two ways:
|
showMinCellCount |
If |
.options |
A named list with additional formatting options.
|
Additional table formatting options for visOmopTable() and visTable()
Description
This function provides a list of allowed inputs for the .option argument in
visOmopTable() and visTable(), and their corresponding default values.
Usage
tableOptions()
Value
A named list of default options for table customisation.
Examples
tableOptions()
Pre-defined styles are available for tables
Description
This function provides a list of pre-defined styles for tables that can then
be used in the style argument of the table functions.
Usage
tableStyle()
Value
A character vector indicating the style names.
Examples
tableStyle()
Supported predefined style codes for formatted tables
Description
Supported predefined style codes for formatted tables
Usage
tableStyleCode(type = "gt", style = "default")
Arguments
type |
Character string specifying the formatted table class.
See |
style |
Supported predefined styles. Check which ones with the function
|
Value
The code expression to style the table for as specific pre-defined style and table type.
Examples
tableStyleCode("gt")
tableStyleCode("flextable")
Supported table classes
Description
This function returns the supported table classes that can be used in the
type argument of visOmopTable(), visTable(), and formatTable()
functions.
Usage
tableType()
Value
A character vector of supported table types.
Examples
tableType()
Apply a pre-defined visOmopResults theme to a ggplot
Description
Apply a pre-defined visOmopResults theme to a ggplot
Usage
themeVisOmop(style = "default", fontsizeRef = 11)
Arguments
style |
Character indicating which pre-defined style to apply. Refer to
the function |
fontsizeRef |
An integer to use as reference when adjusting label fontsize. |
Examples
result <- mockSummarisedResult() |> dplyr::filter(variable_name == "age")
barPlot(
result = result,
x = "cohort_name",
y = "mean",
facet = c("age_group", "sex"),
colour = "sex") +
themeVisOmop()
Generate a formatted table from a <summarised_result>
Description
This function combines the functionalities of formatEstimateValue(),
estimateName(), formatHeader(), and formatTable()
into a single function specifically for <summarised_result> objects.
Usage
visOmopTable(
result,
estimateName = character(),
header = character(),
settingsColumn = character(),
groupColumn = character(),
rename = character(),
type = "gt",
hide = character(),
columnOrder = character(),
factor = list(),
style = "default",
showMinCellCount = TRUE,
.options = list()
)
Arguments
result |
A |
estimateName |
A named list of estimate names to join, sorted by
computation order. Use |
header |
A vector specifying the elements to include in the header. The order of elements matters, with the first being the topmost header. Elements in header can be:
|
settingsColumn |
A character vector with the names of settings to
include in the table. To see options use |
groupColumn |
Columns to use as group labels, to see options use
*tidy: The tidy format applied to column names replaces "_" with a space and
converts to sentence case. Use |
rename |
A named vector to customise column names, e.g., c("Database name" = "cdm_name"). The function renames all column names not specified here into a tidy* format. |
type |
The desired format of the output table. See |
hide |
Columns to drop from the output table. By default, |
columnOrder |
Character vector establishing the position of the columns in the formatted table. Columns in either header, groupColumn, or hide will be ignored. |
factor |
A named list where names refer to columns (see available columns
in |
style |
A character string or custom R code to define the visual formatting of the table. This argument can be provided in two ways:
|
showMinCellCount |
If |
.options |
A named list with additional formatting options.
|
Value
A formatted table of the class selected in "type" argument.
Examples
result <- mockSummarisedResult()
result |>
visOmopTable(
estimateName = c("N%" = "<count> (<percentage>)",
"N" = "<count>",
"Mean (SD)" = "<mean> (<sd>)"),
header = c("cohort_name"),
rename = c("Database name" = "cdm_name"),
groupColumn = strataColumns(result)
)
result |>
visOmopTable(
estimateName = c(
"N%" = "<count> (<percentage>)",
"N" = "<count>",
"Mean (SD)" = "<mean> (<sd>)"
),
header = c("cohort_name"),
rename = c("Database name" = "cdm_name"),
groupColumn = strataColumns(result),
type = "reactable"
)
Generate a formatted table from a <data.table>
Description
This function combines the functionalities of formatEstimateValue(),
formatEstimateName(), formatHeader(), and formatTable()
into a single function. While it does not require the input table to be
a <summarised_result>, it does expect specific fields to apply some
formatting functionalities.
Usage
visTable(
result,
estimateName = character(),
header = character(),
groupColumn = character(),
rename = character(),
type = "gt",
hide = character(),
style = "default",
.options = list()
)
Arguments
result |
A table to format. |
estimateName |
A named list of estimate names to join, sorted by
computation order. Use |
header |
A vector specifying the elements to include in the header.
The order of elements matters, with the first being the topmost header.
The vector elements can be column names or labels for overall headers.
The table must contain an |
groupColumn |
Columns to use as group labels, to see options use
*tidy: The tidy format applied to column names replaces "_" with a space and
converts to sentence case. Use |
rename |
A named vector to customise column names, e.g., c("Database name" = "cdm_name"). The function renames all column names not specified here into a tidy* format. |
type |
The desired format of the output table. See |
hide |
Columns to drop from the output table. |
style |
A character string or custom R code to define the visual formatting of the table. This argument can be provided in two ways:
|
.options |
A named list with additional formatting options.
|
Value
A formatted table of the class selected in "type" argument.
Examples
result <- mockSummarisedResult()
result |>
visTable(
estimateName = c("N%" = "<count> (<percentage>)",
"N" = "<count>",
"Mean (SD)" = "<mean> (<sd>)"),
header = c("Estimate"),
rename = c("Database name" = "cdm_name"),
groupColumn = c("strata_name", "strata_level"),
hide = c("additional_name", "additional_level", "estimate_type", "result_type")
)