totals: Extract time-totals from TRIM output

In rtrim: Trends and Indices for Monitoring Data

Extract time-totals from TRIM output

Description

Extract time-totals from TRIM output

Usage

totals(
  x,
  which = c("imputed", "fitted", "both"),
  obs = FALSE,
  level = NULL,
  long = FALSE
)

Arguments

x	TRIM output structure (i.e., output of a call to trim)
which	(character) Select what totals to compute (see Details section).
obs	(logical) Flag to include total observations (or not).
level	(numeric) The confidence level required. If NULL, no confidence intervals are calculated.
long	(logical) Flag to return a tidy long table

Value

A data.frame with subclass trim.totals (for pretty-printing). The columns are time, fitted and se_fit (for standard error), and/or imputed and se_imp, depending on the selection.
In case long=TRUE a long table is returned, and a different naming convention is used, e.g., imputed/fitted info is in column series, and standard error are always in column SE

Details

The idea of TRIM is to impute those site-time combinations where no counts are available. Time-totals (i.e. summed over sites) can be obtained for two cases:

• "imputed": Time totals are computed after replacing missing values with values predicted by the model.

• "fitted": Time totals are computed after replacing both missing values and observed values with values predicted by the model.

See Also

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

Examples

data(skylark)
z <- trim(count ~ site + time, data=skylark, model=2, changepoints=c(3,5))
totals(z)

totals(z, "both") # mimics classic TRIM

rtrim documentation built on June 22, 2024, 10:39 a.m.