Broom tidies a number of lists that are effectively S3
objects without a class attribute. For example, stats::optim(),
svd() and akima::interp() produce consistent output, but
because they do not have a class attribute, they cannot be handled by S3
dispatch.
These functions look at the elements of a list and determine if there is
an appropriate tidying method to apply to the list. Those tidiers are
themselves are implemented as functions of the form tidy_<function>
or glance_<function> and are not exported (but they are documented!).
If no appropriate tidying method is found, throws an error.
xyz lists (lists where x and y are vectors of coordinates
and z is a matrix of values) are typically used by functions such as
graphics::persp() or graphics::image() and returned
by interpolation functions such as akima::interp().
tidy_xyz(x, ...)A list with component x, y and z, where x and y are
vectors and z is a matrix. The length of x must equal the number of
rows in z and the length of y must equal the number of columns in z.
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in ..., where they will be ignored. If the misspelled
argument has a default value, the default value will be used.
For example, if you pass conf.lvel = 0.9, all computation will
proceed using conf.level = 0.95. Additionally, if you pass
newdata = my_tibble to an augment() method that does not
accept a newdata argument, it will use the default value for
the data argument.
A tibble::tibble with vector columns x, y and z.
tidy(), graphics::persp(), graphics::image(),
akima::interp()
Other list tidiers:
glance_optim(),
list_tidiers,
tidy_irlba(),
tidy_optim(),
tidy_svd()
# NOT RUN {
A <- list(x = 1:5, y = 1:3, z = matrix(runif(5 * 3), nrow = 5))
image(A)
tidy(A)
# }
Run the code above in your browser using DataLab