I'm trying to write a function that can be called using the '+'-based ggplot2 syntax.
myplot + myfunction
Specifically, the function I'm writing symmetrizes the y-axis about zero, so it needs to determine the y-axis range for the input plot.
So let,
ylim_sym <- function(p){
get_y_range <- function(p){
ggplot2::ggplot_build(p)$layout$panel_ranges[[1]]$y.range
}
max_offset <- max(abs(get_y_range(p)))
p + ylim(- max_offset, max_offset)
}
With this function, the following works:
qplot(x = 1:10, y = exp(rnorm(10))) %>% ylim_sym()
But this doesn't work because of some precedence issue between +.gg
and %>%
:
qplot(x = 1:10, y = exp(rnorm(10))) +
geom_abline(slope = 0) %>%
ylim_sym()
(I could write the latter (all_my_ggplot_pipeline) %>% ylim_sym()
but it's pretty ugly syntax).
Ideally, I'd like to be able to write ylim_sym
such that it can be piped like so,
qplot(x = 1:10, y = exp(rnorm(10))) + ylim_sym()
but I can't work out how to access the plot on the LHS of +
within ylim_sym
Any ideas?
I was able to solve it by doing the following.
StatSymYLim <- ggproto(
"StatSymYLim", Stat,
compute_group = function(data, scales) {
out <- data.frame(
x = median(data$x),
y = c(-1, 1) * max(abs(data$y))
)
out
},
required_aes = c("x", "y")
)
ylim_sym <- function(...){
geom_blank(..., stat = StatSymYLim)
}
Then the following works as required:
qplot(x = 1:10, y = exp(rnorm(10))) +
geom_abline(slope = 0) +
ylim_sym()
My understanding of ggplot2 internals is pretty shaky to be fair, so this might be a naive solution.
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