Broom tidies a number of lists that are effectively S3
objects without a class attribute. For example, stats::optim(),
svd() and interp::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
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, they throw 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 interp::interp().
tidy_xyz(x, ...)A tibble::tibble with vector columns x, y and z.
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. Two exceptions here are:
tidy() methods will warn when supplied an exponentiate argument if
it will be ignored.
augment() methods will warn when supplied a newdata argument if it
will be ignored.
tidy(), graphics::persp(), graphics::image(),
interp::interp()
Other list tidiers:
glance_optim(),
list_tidiers,
tidy_irlba(),
tidy_optim(),
tidy_svd()
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