Tidy a(n) Gam 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 'Gam' tidy(x, ...)
x |
A |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
Tidy gam
objects created by calls to mgcv::gam()
with
tidy.gam()
.
A tibble::tibble()
with columns:
df |
Degrees of freedom used by this term in the model. |
meansq |
Mean sum of squares. Equal to total sum of squares divided by degrees of freedom. |
p.value |
The two-sided p-value associated with the observed statistic. |
statistic |
The value of a T-statistic to use in a hypothesis that the regression term is non-zero. |
sumsq |
Sum of squares explained by this term. |
term |
The name of the regression term. |
Other gam tidiers:
glance.Gam()
if (requireNamespace("gam", quietly = TRUE)) { library(gam) g <- gam(mpg ~ s(hp, 4) + am + qsec, data = mtcars) tidy(g) glance(g) }
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.