##TODO…
The intention of this vignette is to show how to plot different styles of cost-effectiveness acceptability curves using the BCEA package.
To calculate these in BCEA we use the bcea()
function.
The plot defaults to base R plotting. Type of plot can be set
explicitly using the graph
argument.
Other plotting arguments can be specified such as title, line colours and theme.
ceplane.plot(he,
graph = "ggplot2",
title = "my title",
line = list(color = "green", size = 3),
point = list(color = "blue", shape = 10, size = 5),
icer = list(color = "orange", size = 5),
area = list(fill = "grey"),
theme = theme_linedraw())
If you only what the mean point then you can suppress the sample
points by passing size NA
.
This situation is when there are more than two interventions to consider.
ceplane.plot(he,
graph = "ggplot2",
title = "my title",
line = list(color = "red", size = 1),
point = list(color = c("plum", "tomato", "springgreen"), shape = 3:5, size = 2),
icer = list(color = c("red", "orange", "black"), size = 5))
Reposition legend.
For {ggplot2}
For base R
##TODO: not yet implemented
# ceplane.plot(he, wtp = 10000)
# ceplane.plot(he, wtp = list(value = 10000))
# ceplane.plot(he, wtp = list(value = 10000, colour = "blue"))
# ceplane.plot(he, wtp = list(colour = "blue"))
# ceplane.plot(he, wtp = list(y = 8))
# ceplane.plot(he, wtp = list(size = 5))
#
# # to hide text
# ceplane.plot(he, wtp = list(size = 0))