Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
# S3 method for density tidy(x, ...)
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
A tibble::tibble with two columns: points
x where the density
is estimated, and estimated density
y. When the input to the
function is an
nXm matrix, as opposed to a
1Xm vector, the input matrix is first flattened into a
and then the density function is applied as usual.