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 = NULL,
type = NULL,
label = character()
)Arguments
- result
A
<summarised_result>object.- 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
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
Visual theme to apply. Character, or
NULL. If a character, this may be either the name of a built-in style (seeplotStyle()), or a path to a.ymlfile that defines a custom style. IfNULL, the function will use the explicit default style, unless a global style option is set (seesetGlobalPlotOptions()), or a_brand.ymlfile is present (in that order). Refer to the package vignette on styles to learn more.- type
Character string indicating the output plot format. See
plotType()for the list of supported plot types. Iftype = NULL, the function will use the global setting defined viasetGlobalPlotOptions()(if available); otherwise, a standardggplot2plot is produced by default.- label
Character vector with the columns to display interactively in
plotly.
Examples
dplyr::tibble(year = "2000", q25 = 25, median = 50, q75 = 75, min = 0, max = 100) |>
boxPlot(x = "year")
