Plot Bland-Altman statistics
Usage
ba_plot(
data = stop("data must be specified"),
var1 = stop("variable must be specified"),
var2 = stop("variable must be specified"),
label = NULL,
group = NULL,
colour = NULL,
shape = NULL,
xlab = "Average",
ylab = "Difference",
title = NULL,
caption = NULL,
alpha = 0.05,
point_size = 3,
point_alpha = 0.5,
transform = c("identity", "log", "logit")
)Arguments
- data
A data frame
- var1
1st variable to compare (unquoted)
- var2
2nd variable to compare (unquoted)
- label
data label (unquoted)
- group
grouping variable used for faceting (unquoted)
- colour
colour aesthetic for scatter points (unquoted)
- shape
shape aesthetic for scatter points (unquoted)
- xlab
The text for the x-axis label
- ylab
The text for the y-axis label
- title
plot title
- caption
plot caption
- alpha
alpha level for the intervals
- point_size
size of the scatter points (passed to ggplot2::geom_point)
- point_alpha
opacity of the scatter points (passed to ggplot2::geom_point)
- transform
Transformation applied before computing statistics. One of
"identity"(default),"log", or"logit". Delegates to ba_mean_diff.
Value
ggplot2::ggplot object
Examples
library(tidyr)
tbl <- temperature |> pivot_wider(names_from = method, values_from = temperature)
# simple example
ba_plot(data = tbl, var1 = infrared, var2 = rectal)
#> Warning: Using `by = character()` to perform a cross join was deprecated in dplyr 1.1.0.
#> ℹ Please use `cross_join()` instead.
#> ℹ The deprecated feature was likely used in the ggBA package.
#> Please report the issue to the authors.
# with colors
ba_plot(data = tbl, var1 = infrared, var2 = rectal, colour = visit)
# with colors and faceting
ba_plot(data = tbl, var1 = infrared, var2 = rectal, group = treatment, colour = visit)
