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.
tidy_optim(x, ...)A tibble::tibble() with columns:
The parameter being modeled.
The standard error of the regression term.
The value/estimate of the component. Results from data reshaping.
std.error is only provided as a column if the Hessian is calculated.
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.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(), stats::optim()
Other list tidiers:
glance_optim(),
list_tidiers,
tidy_irlba(),
tidy_svd(),
tidy_xyz()
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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