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.
glance_optim(x, ...)A list returned from stats::optim().
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.level = 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 exactly one row and columns:
Convergence code.
Number of calls to `fn`.
Number of calls to `gr`.
Minimized or maximized output value.
Other list tidiers:
list_tidiers,
tidy_irlba(),
tidy_optim(),
tidy_svd(),
tidy_xyz()
# NOT RUN {
f <- function(x) (x[1] - 2)^2 + (x[2] - 3)^2 + (x[3] - 8)^2
o <- optim(c(1, 1, 1), f)
# }
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