Tests for the degree of a polnomial. This test was suggested by Graybill (1976) and is discussed from a robust point-of-view in Section 4.7.1. of Kloke and McKean (2014)/4.6.1 of Kloke and McKean (2024).
polydeg(y, x, P, alpha =0.05)
Arguments
y: vector of responses
x: Predictor
P: Super degree of polynomial which provides a satisfactory fit
alpha: Level of the testing
Details
Returns the degree of the polynomial based on the algorithm.
Returns
deg: The determined degree
coll: Matrix of step information
fitf: Fit of the polynomial based on the determoned degreer
References
Graybill, F.A. (1976), Theory and application of the linear model, North Scituate, Ma: Duxbury Press.
Kloke, J. and McKean, J.W. (2014), Nonparametric statistcal methods using R, Boca Raton, FL: Chapman-Hall. Kloke, J. and McKean, J.W. (2024), Nonparametric statistcal methods using R, Second Edition, Boca Raton, FL: Chapman-Hall.
Examples
x <-1:20 xc <- x - mean(x) y<-.2*xc + xc^3+rt(20,3)*90 plot(y~x) polydeg(y,xc,6)