View source: R/summary.nsCosinor.R

summary.nsCosinor | R Documentation |

The default summary method for a `nsCosinor`

object produced by
`nscosinor`

.

## S3 method for class 'nsCosinor' summary(object, ...)

`object` |
a |

`...` |
further arguments passed to or from other methods. |

The amplitude describes the average height of each seasonal cycle, and the
phase describes the location of the peak. The results for the phase are
given in radians (0 to 2*π*), they can be transformed to the time
scale using the `invyrfraction`

making sure to first divide by
2*π*.

The larger the standard deviation for the seasonal cycles, the greater the non-stationarity. This is because a larger standard deviation means more change over time.

`cycles` |
vector of cycles in units of time, e.g., for a six and
twelve month pattern |

`niters` |
total number of MCMC samples. |

`burnin` |
number of MCMC samples discarded as a burn-in. |

`tau` |
vector of smoothing parameters, tau[1] for trend, tau[2] for 1st seasonal parameter, tau[3] for 2nd seasonal parameter, etc. |

`stats` |
summary statistics (mean and confidence interval) for the residual standard deviation, the standard deviation for each seasonal cycle, and the amplitude and phase for each cycle. |

Adrian Barnett a.barnett@qut.edu.au

`nscosinor`

, `plot.nsCosinor`

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