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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")