summary.earth {earth} | R Documentation |
Summary method for earth
objects.
## S3 method for class 'earth': summary(object = stop("no 'object' arg"), details = FALSE, decomp = "anova", style = c("h", "pmax"), digits = getOption("digits"), fixed.point=TRUE, ...) ## S3 method for class 'summary.earth': print(x = stop("no 'x' arg"), details = x$details, decomp = x$decomp, digits = x$digits, fixed.point = x$fixed.point, ...)
object |
An earth object.
This is the only required argument for summary.earth .
|
x |
A summary.earth object.
This is the only required argument for print.summary.earth .
|
details |
Default is FALSE.
Use TRUE for earth
to print more information about earth –glm models.
But note that the displayed P-values of the GLM coefficients
are meaningless because of the amount of preprocessing
by earth to select the regression terms.
|
decomp |
See format.earth for legal decomp values.
Default is "anova" .
Use "none" to order the terms as created by the forward.pass.
|
style |
Formatting style. One of"h" (default) more compact"pmax" for those who prefer it and for compatibility with old versions of earth.
|
digits |
The number of significant digits.
For summary.earth , the default is getOption("digits") .
For print.summary.earth , the default is the $digits component of object .
|
fixed.point |
Method of printing numbers in matrices.
Default is TRUE which prints like this
(making it easier to compare coefficients):(Intercept) 15.029 h(temp-58) 0.313 h(234-ibt) -0.046 ...whereas fixed.point=FALSE prints like this (which is more usual in R):(Intercept) 1.5e+01 h(temp-58) 3.1e-01 h(234-ibt) -4.6e-02 ...Matrices with two or fewer rows are never printed with a fixed point. |
... |
Extra arguments are passed to format.earth .
|
The value is the same as that returned by earth
but with the following extra components.
strings |
String(s) created by format.earth .
For multiple response models, a vector of strings.
|
digits |
|
details |
|
decomp |
|
fixed.point |
The corresponding arguments, passed on to print.summary.earth .
|
The printed Estimated importance
uses evimp
with the nsubsets
criterion.
The most important predictor is printed first, and so on.
a <- earth(Volume~ ., data = trees) summary(a, digits = 2) # yields: # Call: earth(formula=Volume~., data=trees) # # Volume # (Intercept) 23.21 # h(Girth-12.9) 5.75 # h(12.9-Girth) -2.87 # h(Height-76) 0.72 # # Selected 4 of 5 terms, and 2 of 2 predictors # Estimated importance: Girth Height # Number of terms at each degree of interaction: 1 3 (additive model) # GCV 11 RSS 213 GRSq 0.96 RSq 0.97