My goal is to write a custom geom_ method that calculates and plots, e.g., confidence intervals and these should be plotted either as polygons or as lines. The question now is, where to check which "style" should be plotted?
So far I have tried out three different approaches,
- (i) write two different
geom_/stat_for line and polygon style plots, - (ii) write a single
geom_/stat_which uses a customGeomMethod, - (iii) write a single
geom_/stat_which uses eitherGeomPolygonorGeomLine.
In my opinion, to sum up
- (i) is more or less straightforward but only bypasses the problem,
- (ii) works when you use either
GeomPath$draw_panel()orGeomPolygon$draw_panel()depending on an extra parameterstyle. But here I can't work it out to setdefault_aesdepending also on the extra argumentstyle. Compare also the answer here. - (iii) works when calling
geom_but fails for callingstat_as the name matching within ggplot2 fails. See minimal example below.
Setting up the methods of approach (iii):
geom_my_confint <- function(mapping = NULL, data = NULL, stat = "my_confint",
position = "identity", na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE,
style = c("polygon", "line"), ...) {
style <- match.arg(style)
ggplot2::layer(
geom = if (style == "line") GeomPath else GeomPolygon,
mapping = mapping,
data = data,
stat = stat,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
na.rm = na.rm,
style = style,
...
)
)
}
stat_my_confint <- function(mapping = NULL, data = NULL, geom = "my_confint",
position = "identity", na.rm = FALSE,
show.legend = NA, inherit.aes = TRUE,
style = c("polygon", "line"), ...) {
style <- match.arg(style)
ggplot2::layer(
geom = geom,
stat = StatMyConfint,
data = data,
mapping = mapping,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
na.rm = na.rm,
style = style,
...
)
)
}
StatMyConfint <- ggplot2::ggproto("StatMyConfint", ggplot2::Stat,
compute_group = function(data, scales, style) {
if (style == "polygon") {
nd <- data.frame(
x = c(data$x, rev(data$x)),
y = c(data$y - 1, rev(data$y) + 1)
)
nd
} else {
nd <- data.frame(
x = rep(data$x, 2),
y = c(data$y - 1, data$y + 1),
group = c(rep(1, 5), rep(2, 5))
)
nd
}
},
required_aes = c("x", "y")
)
Trying out the methods of approach (iii):
library("ggplot2")
d <- data.frame(
x = seq(1, 5),
y = seq(1, 5)
)
ggplot(d, aes(x = x, y = y)) + geom_line() + geom_my_confint(style = "polygon", alpha = 0.2)
ggplot(d, aes(x = x, y = y)) + geom_line() + geom_my_confint(style = "line", linetype = 2)
This works well so far. However when calling the stat_ there is an error in ggplot2:::check_subclass because there is no GeomMyConfint method.
ggplot(d, aes(x = x, y = y)) + geom_line() + stat_my_confint()
# Error: Can't find `geom` called 'my_confint'
Any solutions or suggestions for alternative approaches?
