summary.Cosinor: Summary for a Cosinor

In agbarnett/season: Seasonal Analysis of Health Data

Summary for a Cosinor

Description

The default print method for a Cosinor object produced by cosinor.

Usage

## S3 method for class 'Cosinor'
summary(object, digits = 2, ...)

Arguments

object	a Cosinor object produced by cosinor.
digits	minimal number of significant digits, see print.default
...	further arguments passed to or from other methods.

Details

Summarises the sinusoidal seasonal pattern and tests whether there is statistically significant seasonal or circadian pattern (assuming a smooth sinusoidal pattern). The amplitude describes the average height of the sinusoid, and the phase describes the location of the peak. The scale of the amplitude depends on the link function. For logistic regression the amplitude is given on a probability scale. For Poisson regression the amplitude is given on an absolute scale.

Value

n	sample size.
amp	estimated amplitude.
amp.scale	the scale of the estimated amplitude (empty for standard regression; ‘probability scale’ for logistic regession; ‘absolute scale’ for Poisson regression).
phase	estimated peak phase on a time scale.
lphase	estimated low phase on a time scale (half a year after/before phase).
significant	statistically significant sinusoid (TRUE/FALSE).
alpha	statistical significance level.
digits	minimal number of significant digits.
text	add explanatory text to the returned phase value (TRUE) or return a number (FALSE).
type	type of data (yearly/monthly/weekly/hourly).
ctable	table of regression coefficients.

Author(s)

Adrian Barnett [e-mail]

See Also

cosinor, plot.Cosinor, invyrfraction

agbarnett/season documentation built on March 26, 2022, 9:29 a.m.