totals function

Extract time-totals from TRIM output

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

Returns

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.

Examples

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

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

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()