Description Usage Arguments Details Value Side Effects References See Also Examples

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.

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`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.

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