results: collect observed, modelled, and imputed counts from TRIM...

In rtrim: Trends and Indices for Monitoring Data

Description

collect observed, modelled, and imputed counts from TRIM output

Usage

results(z)

Arguments

z	TRIM output structure (i.e., output of a call to trim)

Value

A data.frame, one row per site-time combination, with columns for site, year, month (optionally), observed counts, modelled counts and imputed counts. Missing observations are marked as NA.

See Also

Other analyses: coef.trim(), confint.trim(), gof(), index(), now_what(), overall(), overdispersion(), plot.trim.index(), plot.trim.overall(), serial_correlation(), summary.trim(), totals(), trim(), vcov.trim(), wald()

Examples

data(skylark)
z <- trim(count ~ site + time, data=skylark, model=2);
out <- results(z)

Example output

Welcome to rtrim 2.0.6 Type ?`rtrim-package` to get started.

Attaching package: ‘rtrim’

The following object is masked from ‘package:stats’:

    heatmap

rtrim documentation built on April 21, 2020, 5:06 p.m.