A vector of two values across which a range of n span values will be generated and tested.
n
Number of span parameters to test.
adjust.method
Adjustment method for multiple-testing procedure, using p.adjust from stats.
adjust.type
String giving the values over which the multiple testing correction will be performed. Here, ‘both’ refers to a multiple testing correction done over all span parameters and all variables in the model. ‘within’ means the multiple testing correction should be done within each model, but not across the span parameters and ‘across’ means that the multiple testing correction should be for each variable across the various span parameters, but not across variables within the same model. ‘none’ refers to a pass-through option of no multiple testing procedure.
...
Other arguments to be passed down to the call to loess.
Value
A list with two elements:
x
Sequence of span values used in testing
y
p-values for each variable for each span parameter
Author(s)
Dave Armstrong (UW-Milwaukee, Department of Political Science)
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
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> library(DAMisc)
Loading required package: car
Loading required package: effects
Attaching package: 'effects'
The following object is masked from 'package:car':
Prestige
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DAMisc/crSpanTest.Rd_%03d_medium.png", width=480, height=480)
> ### Name: crSpanTest
> ### Title: Test of Span Parameter in linearity for Component + Residual
> ### Plots
> ### Aliases: crSpanTest
>
> ### ** Examples
>
> library(car)
> mod <- lm(prestige ~ income + education + women, data=Prestige)
> tmp <- crSpanTest(mod, c(.1, .9), adjust.method="holm",
+ adjust.type="both")
> matplot(tmp$x, tmp$y, type="l")
>
>
>
>
>
> dev.off()
null device
1
>
providing 
.