| summary.nsCosinor {season} | R Documentation |
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 |
... |
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 2\pi), they can be transformed to the time
scale using the invyrfraction making sure to first divide by
2\pi.
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 |
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 a.barnett@qut.edu.au
See Also
nscosinor, plot.nsCosinor