R封装WRS2的坚固ANCOVA

Question

The function ancboot from the WRS package performs a one-way ANCOVA with one covariate using 20% trimmed means and bootstrapping:

ancboot(formula, data, tr = 0.2, nboot = 599, sm = FALSE, fr1 = 1, fr2 = 1,
        pr = TRUE, pts = NA)

The command returns an object of class ancova containing trimmed means at 5 design points:

[1] "Note: confidence intervals are adjusted to control FWE"
[1] "But p-values are not adjusted to control FWE"
[1] "Taking bootstrap samples. Please wait."
$output
X n1 n2 DIF TEST ci.low ci.hi p.value
[1,] 2 15 30 -1.277778 -1.846494 -3.234577 0.6790212 0.0855
[2,] 4 38 50 -1.066667 -2.139515 -2.476449 0.3431158 0.0440
[3,] 4 38 50 -1.066667 -2.139515 -2.476449 0.3431158 0.0335
[4,] 5 42 50 -1.092308 -2.256915 -2.460882 0.2762670 0.0320
[5,] 6 25 41 -1.333333 -2.341798 -2.943341 0.2766743 0.0300
$crit
[1] 2.8277

However, I had expected to report the robust ANCOVA much like a conventional (parametric) ANCOVA, including an omnibus p value, 95% CI, F , and [df]. How can I get the desired output with a robust ANCOVA (ie, with trimmed means and bootstrapping)?

Answer 1

I checked the raw source file for any trace of methods, but it would appear the result has no special class, which means no special method can be defined. Ask package author/maintainer to include this feature or contribute the source code.