crTest | R Documentation |
This function estimates a linear model and a loess model on the component-plus-residual plot (i.e., a partial residual plot) for each quantitative variable in the model. The residual sums of squares for each are used to calculate an F-test for each quantitative variable.
crTest(
model,
adjust.method = "none",
cat = 5,
var = NULL,
span.as = TRUE,
span = 0.75,
...
)
model |
A model object of class |
adjust.method |
Adjustment method for multiple-testing procedure, using
|
cat |
Number of unique values below which numeric variables are considered categorical for the purposes of the smooth. |
var |
Character string indicating the term desired for testing. If
left |
span.as |
Logical indicating whether the span should be automatically selected through AICC or GCV |
span |
Span to be passed down to the |
... |
Other arguments to be passed down to the call to |
A matrix with the following columns for each variable:
RSSp |
Residual sum-of-squares for the parametric (linear) model. |
RSSnp |
Residual sum-of-squares for the non-parametric (loess) model. |
DFnum |
Numerator degrees of freedom for the F-test: tr(S)-(k+1). |
DFdenom |
Denominator degrees of freedom for the F-test: n-tr(S) |
F |
F-statistic |
p |
p-value, potentially adjusted for multiple comparisons. |
Dave Armstrong
data(Prestige, package="carData")
mod <- lm(prestige ~ income + education + women, data=Prestige)
crTest(mod)
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