scatterPlot: Create a scatter plot visualisation from a...

In visOmopResults: Graphs and Tables for OMOP Results

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",
  group = colour,
  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.
line	Whether to plot a line using geom_line.
point	Whether to plot points using geom_point.
ribbon	Whether to plot a ribbon using geom_ribbon.
ymin	Lower limit of error bars, if provided is plot using geom_errorbar.
ymax	Upper limit of error bars, if provided is plot using geom_errorbar.
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.
group	Columns to use to determine the group.
label	Character vector with the columns to display interactively in plotly.

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)

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