criticalvaluesWCO {sowas} | R Documentation |

## Estimates critical values for wavelet coherency

### Description

This function estimates critical values for the wavelet coherency
between two processes using the Morlet wavelet based on a formula
derived from Monte Carlo simulations.

### Usage

criticalvaluesWCO(s0, noctave, nvoice, w0, swabs, tw, siglevel =
0.95)

### Arguments

`s0` |
lowest calculated scale in units of the time series |

`noctave` |
number of octaves |

`nvoice` |
number of voices per octave |

`w0` |
time/frequency resolution omega0 |

`swabs` |
length of smoothing window in scale direction at scale s
is 2*swabs+1 |

`tw` |
length of smoothing window in time direction is 2*s*tw+1 |

`siglevel` |
significance level, e.g. 0.9, 0.95 or 0.99.
At the moment, only these values are possible. siglevel might also
be a vector, e.g. c(0.9,0.95) to plot more contourlines. |

### Details

The process dependency appeared to be rather marginal. Thus we performed MC
simulations with two Gaussian White Noise processes for the listed
significance levels for different smoothing windows and time/frequency
resolutions.

### Value

Returns a scale independent critical value. If siglevel is a vector of
multiple significance values, also the return value is a vector of the
same length.

### Note

### Author(s)

D. Maraun

### References

D. Maraun and J. Kurths, Nonlin. Proc. Geophys. 11:
505-514, 2004

### See Also

`wco`

### Examples

##

[Package

*sowas* version 0.93

Index]