View source: R/ggpairs_internal_plots.R
wrap_fn_with_param_arg | R Documentation |
Wraps a function with the supplied parameters to force different default behavior. This is useful for functions that are supplied to ggpairs. It allows you to change the behavior of one function, rather than creating multiple functions with different parameter settings.
wrap_fn_with_param_arg(
funcVal,
params = NULL,
funcArgName = deparse(substitute(funcVal))
)
wrapp(funcVal, params = NULL, funcArgName = deparse(substitute(funcVal)))
wrap(funcVal, ..., funcArgName = deparse(substitute(funcVal)))
wrap_fn_with_params(funcVal, ..., funcArgName = deparse(substitute(funcVal)))
funcVal |
function that the |
params |
named vector or list of parameters to be applied to the |
funcArgName |
name of function to be displayed |
... |
named parameters to be supplied to |
wrap
is identical to wrap_fn_with_params
. These function take the new parameters as arguments.
wrapp
is identical to wrap_fn_with_param_arg
. These functions take the new parameters as a single list.
The params
and fn
attributes are there for debugging purposes. If either attribute is altered, the function must be re-wrapped to have the changes take effect.
a function(data, mapping, ...){}
that will wrap the original function with the parameters applied as arguments
# small function to display plots only if it's interactive
p_ <- GGally::print_if_interactive
# example function that prints 'val'
fn <- function(data, mapping, val = 2) {
print(val)
}
fn(data = NULL, mapping = NULL) # 2
# wrap function to change default value 'val' to 5 instead of 2
wrapped_fn1 <- wrap(fn, val = 5)
wrapped_fn1(data = NULL, mapping = NULL) # 5
# you may still supply regular values
wrapped_fn1(data = NULL, mapping = NULL, val = 3) # 3
# wrap function to change 'val' to 5 using the arg list
wrapped_fn2 <- wrap_fn_with_param_arg(fn, params = list(val = 5))
wrapped_fn2(data = NULL, mapping = NULL) # 5
# change parameter settings in ggpairs for a particular function
## Goal output:
regularPlot <- ggally_points(
iris,
ggplot2::aes(Sepal.Length, Sepal.Width),
size = 5, color = "red"
)
p_(regularPlot)
# Wrap ggally_points to have parameter values size = 5 and color = 'red'
w_ggally_points <- wrap(ggally_points, size = 5, color = "red")
wrappedPlot <- w_ggally_points(
iris,
ggplot2::aes(Sepal.Length, Sepal.Width)
)
p_(wrappedPlot)
# Double check the aes parameters are the same for the geom_point layer
identical(regularPlot$layers[[1]]$aes_params, wrappedPlot$layers[[1]]$aes_params)
# Use a wrapped function in ggpairs
pm <- ggpairs(iris, 1:3, lower = list(continuous = wrap(ggally_points, size = 5, color = "red")))
p_(pm)
pm <- ggpairs(iris, 1:3, lower = list(continuous = w_ggally_points))
p_(pm)
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