summary.monthglm: Summary for a monthglm

In season: Seasonal analysis of health data

Description

The default summary method for a monthglm object produced by monthglm.

Usage

## S3 method for class 'monthglm'
summary(object, ...)
## S3 method for class 'summary.monthglm'
print(x, ...)

Arguments

object	a monthglm object produced by nscosinor.
x	a summary.monthglm object produced by summary.monthglm.
...	further arguments passed to or from other methods.

Details

The estimates are the mean, 95% confidence interval, Z-value and associated p-value (comparing each month to the reference month). If Poisson regression was used then the estimates are shown as rate ratios. If logistic regression was used then the estimates are shown as oddsratios.

Value

n	sample size.
month.ests	parameter estimates for the intercept and months.
month.effect	scale of the monthly effects. ‘RR’ for ‘rate ratios’, ‘OR’ for ‘odds ratios’, or empty otherwise.
x	Object of class monthglm
object	Object of class monthglm
...	further arguments passed to or from other methods.

Author(s)

Adrian Barnett a.barnett<at>qut.edu.au

See Also

monthglm, plot.monthglm

season documentation built on May 2, 2019, 5:22 p.m.