barPlot: Create a bar plot visualisation from a <summarised_result>...

In visOmopResults: Graphs and Tables for OMOP Results

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,
  facet = NULL,
  colour = NULL,
  style = "default",
  label = character()
)

Arguments

result	A ⁠<summarised_result>⁠ object.
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 geom_col() of the ggplot2 package.
just	Adjustment for column placement, as in geom_col() of the ggplot2 package.
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	Which style to apply to the plot, options are: "default", "darwin" and NULL (default ggplot style). Customised styles can be achieved by modifying the returned ggplot object.
label	Character vector with the columns to display interactively in plotly.

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")

visOmopResults documentation built on Sept. 9, 2025, 5:42 p.m.