Highjack a method's execution and make it return a user-supplied value
Source:R/workflows-highjack.R
, R/aliases.R
ggtrace_highjack_return.Rd
Highjack a method's execution and make it return a user-supplied value
Usage
ggtrace_highjack_return(
x,
method,
cond = 1L,
value = quote(returnValue()),
...,
draw = TRUE
)
highjack_return(
x,
method,
cond = 1L,
value = quote(returnValue()),
...,
draw = TRUE
)
Arguments
- x
A ggplot object
- method
A function or a ggproto method. The ggproto method may be specified using any of the following forms:
ggproto$method
namespace::ggproto$method
namespace:::ggproto$method
- cond
When the return value should be replaced. Defaults to
1L
.- value
What the method should return instead. Defaults to
quote(returnValue())
.- ...
Unused.
- draw
Whether to draw the modified graphical output from evaluating
x
. Defaults toTRUE
.
Tracing context
When quoted expressions are passed to the cond
or value
argument of
workflow functions they are evaluated in a special environment which
we call the "tracing context".
The tracing context is "data-masked" (see rlang::eval_tidy()
), and exposes
an internal variable called ._counter_
which increments every time a
function/method has been called by the ggplot object supplied to the x
argument of workflow functions. For example, cond = quote(._counter_ == 1L)
is evaluated as TRUE
when the method is called for the first time. The
cond
argument also supports numeric shorthands like cond = 1L
which evaluates to
quote(._counter_ == 1L)
, and this is the default value of cond
for
all workflow functions that only return one value (e.g., ggtrace_capture_fn()
).
It is recommended to consult the output of ggtrace_inspect_n()
and
ggtrace_inspect_which()
to construct expressions that condition on ._counter_
.
For highjack functions like ggtrace_highjack_return()
, the value about to
be returned by the function/method can be accessed with returnValue()
in the
value
argument. By default, value
is set to quote(returnValue())
which
simply evaluates to the return value, but directly computing on returnValue()
to
derive a different return value for the function/method is also possible.
Examples
set.seed(1116)
library(ggplot2)
library(dplyr)
p1 <- ggplot(diamonds, aes(cut)) +
geom_bar(aes(fill = cut)) +
facet_wrap(~ clarity)
p1
# Highjack `Stat$compute_panel` at the first panel
# to return higher values for `count`
ggtrace_highjack_return(
x = p1, method = Stat$compute_panel,
value = quote({
returnValue() %>%
mutate(count = count * 100)
})
)
# Highjack `Stat$compute_panel` at the fourth panel
# to shuffle bars in the x-axis
ggtrace_highjack_return(
x = p1, method = Stat$compute_panel,
cond = quote(data$PANEL[1] == 4),
value = quote({
returnValue() %>%
mutate(x = sample(x))
})
)
# Bars get a black outline and get darker from left-to-right, but only for second panel
ggtrace_highjack_return(
x = p1, method = GeomBar$draw_panel,
cond = quote(data$PANEL[1] == 2),
value = quote({
editGrob(returnValue(), gp = gpar(
col = "black", alpha = seq(0.2, 1, length.out = nrow(data)
)))
})
)