valid: Validate Estimated Wave Parameters Under Given Tolerance...

In kzfs: Multi-Scale Motions Separation with Kolmogorov-Zurbenko Periodogram Signals

Description

For a given tolerance setting, kzpdr.valid will provide cross-validation information for related results of wave parameter estimations.

Usage

kzpdr.valid(rec = ls(1), t.D = 2, t.F = 0.01, level = 1)

Arguments

rec	Data list from the outputs of function kzpdr. It includes the data frame for the marked frequency values and corresponding directions. Defaults is searching for available records in the environment.
t.D	Tolerance of direction in degree. Default is 2.
t.F	Tolerance of frequency. Default value is 0.01.
level	level control the cross-validation process: integer number k means to run cross-validation by excluding k pairs of directional samples each time. Default value is 1.

Details

Due to the nosies or other reasons, there may exist fake spike signals in the directional periodograms. Cross-validation will evaluate estimations by excluding one or few measurements, and identify the data points that casued inconsistent estimations. A table will be given to summarize the validation results.

For a given tolerance setting, if the validation shows consistent results, related estimation would be reliable.

See Also

kzpdr, kzpdr.eval, kzpdr.tol

Examples

# load pre-saved data 
data(kzpdr.demo)

# validation
kzpdr.valid(kzpdr.demo, t.D = 2, t.F = 0.01, level = 1)

kzfs documentation built on June 2, 2019, 5:04 p.m.