Tidy a(n) smooth.spline object
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 across 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 class 'smooth.spline' augment(x, data = x$data, ...)
x |
A |
data |
A base::data.frame or |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble()
with columns:
.fitted |
Fitted or predicted value. |
.resid |
The difference between observed and fitted values. |
Other smoothing spline tidiers:
glance.smooth.spline()
spl <- smooth.spline(mtcars$wt, mtcars$mpg, df = 4) augment(spl, mtcars) augment(spl) # calls original columns x and y library(ggplot2) ggplot(augment(spl, mtcars), aes(wt, mpg)) + geom_point() + geom_line(aes(y = .fitted))
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