A significance trace for a hypothesis test
This function creates a significance trace for a hypothesis test based on a nonparametric smoothing procedure. The p-value of the test is plotted against a range of smoothing parameters.
sig.trace(expn, hvec, ...)
expn |
an S-Plus expression which should define the hypothesis test to be
performed, with the value of the smoothing parameter |
hvec |
a vector of smoothing parameters for which the test will be performed. |
... |
further arguments which will be passed to |
see Section 5.2 of the reference below.
Only tests involving a univariate smoothing parameter may be used.
a list containing vectors with the smoothing parameters and p-values.
If the largest p-value is greater than 0.05 then a horizontal line at 0.05 will be superimposed on any plot, for reference.
Bowman, A.W. and Azzalini, A. (1997). Applied Smoothing Techniques for Data Analysis: the Kernel Approach with S-Plus Illustrations. Oxford University Press, Oxford.
none.
x <- runif(50, 0, 1)
y <- 5*x^2 + rnorm(50)
sig.trace(sm.regression(x, y, model = "linear", display="none"),
hvec = seq(0.05, 0.3, length = 10))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.