Generic function for obtaining crystal names of wavelet...

Description Usage Arguments See Also Examples

Given a numeric vector `x`

,
this function calculates the
the maximum departure of `x`

from an expected
linear increase in cumulative energy based on
a white noise model.

1 | ```
D.statistic(x)
``` |

`x` |
a numeric vector. |

`wavVar`

, `wavVarTest`

, `D.table`

, `D.table.critical`

.

1 2 3 4 5 6 7 8 9 | ```
## compare the D-statistic for a white noise
## realization and a random walk. the random
## walk D-statistic will be relatively large in
## comparison to that of the white noise
## realization, signifying a stronger departure
## from an expected increase in cumulative
## energy.
D.statistic(rnorm(1024))
D.statistic(cumsum(rnorm(1024)))
``` |

```
[1] 0.03159018
[1] 0.183961
```

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