scatterPlot {visOmopResults} | R Documentation |
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,
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 colors. |
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)
[Package visOmopResults version 1.1.1 Index]