summary.nsCosinor: Summary for a Non-stationary Cosinor

In season: Seasonal Analysis of Health Data

Summary for a Non-stationary Cosinor

Description

The default summary method for a nsCosinor object produced by nscosinor.

Usage

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

Arguments

object	a nsCosinor object produced by nscosinor.
...	further arguments passed to or from other methods.

Details

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 2π), they can be transformed to the time scale using the invyrfraction making sure to first divide by 2π.

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.

Value

cycles	vector of cycles in units of time, e.g., for a six and twelve month pattern cycles=c(6,12).
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.

Author(s)

Adrian Barnett [e-mail]

See Also

nscosinor, plot.nsCosinor

season documentation built on March 21, 2022, 9:10 a.m.