AICcmodavg (version 2.1-1)

countHist: Compute Summary Statistics from Count Histories

Description

This function extracts various summary statistics from count data of various unmarkedFrame and unmarkedFit classes.

Usage

countHist(object, plot.freq = TRUE, …)
# S3 method for unmarkedFramePCount
countHist(object, plot.freq = TRUE, …)
# S3 method for unmarkedFitPCount
countHist(object, plot.freq = TRUE, …)
# S3 method for unmarkedFrameGPC
countHist(object, plot.freq = TRUE, …)
# S3 method for unmarkedFitGPC
countHist(object, plot.freq = TRUE, …)
# S3 method for unmarkedFrameMPois
countHist(object, plot.freq = TRUE, …)
# S3 method for unmarkedFitMPois
countHist(object, plot.freq = TRUE, …)
# S3 method for unmarkedFramePCO
countHist(object, plot.freq = TRUE,
                   plot.seasons = FALSE, …)
# S3 method for unmarkedFitPCO
countHist(object, plot.freq = TRUE,
                   plot.seasons = FALSE, …)
# S3 method for unmarkedFrameGMM
countHist(object, plot.freq = TRUE,
                   plot.seasons = FALSE, …)
# S3 method for unmarkedFitGMM
countHist(object, plot.freq = TRUE,
                   plot.seasons = FALSE, …)

Arguments

object

an object of various unmarkedFrame or unmarkedFit classes containing count history data.

plot.freq

logical. Specifies if the count data (pooled across seasons) should be plotted.

plot.seasons

logical. Specifies if the count data should be plotted for each season separately. This argument is only relevant for data collected across more than a single season.

…

additional arguments passed to the function.

Value

countHist returns a list with the following components:

count.table.full

a table with the frequency of each observed count.

count.table.seasons

a list of tables with the frequency of each season-specific count.

hist.table.full

a table with the frequency of each count history across the entire sampling period.

hist.table.seasons

a list of tables with the frequency of each count history for each primary period (season).

out.freqs

a matrix where the rows correspond to each sampling season and where columns consist of the number of sites sampled in season \(t\) (sampled) and the number of sites with at least one detection in season \(t\) (detected). For multiseason data, the matrix includes the number of sites sampled in season \(t - 1\) with colonizations observed in season \(t\) (colonized), the number of sites sampled in season \(t - 1\) with extinctions observed in season \(t\) (extinct), the number of sites sampled in season \(t - 1\) without changes observed in season \(t\) (static), and the number of sites sampled in season \(t\) that were also sampled in season \(t - 1\) (common).

out.props

a matrix where the rows correspond to each sampling season and where columns consist of the proportion of sites in season t with at least one detection (naive.occ). For multiseason data, the matrix includes the proportion of sites sampled in season \(t - 1\) with colonizations observed in season \(t\) (naive.colonization), the proportion of sites sampled in season \(t - 1\) with extinctions observed in season \(t\) (naive.extinction), and the proportion of sites sampled in season \(t - 1\) with no changes observed in season \(t\).

n.seasons

the number of seasons (primary periods) in the data set.

n.visits.season

the maximum number of visits per season in the data set.

Details

This function computes a number of summary statistics in data sets used for various N-mixture models including those of Royle (2004a, b), Dail and Madsen (2011), and Chandler et al. (2011).

countHist can take data frames of the unmarkedFramePCount, unmarkedFrameGPC, unmarkedFrameMPois, unmarkedFramePCO, unmarkedFrameGMM classes as input. For convenience, the function can also extract the raw data from model objects of classes unmarkedFitPCount, unmarkedFitGPC, unmarkedFitMPois, unmarkedFitPCO, and unmarkedFitGMM. Note that different model objects using the same data set will have identical values.

References

Chandler, R. B., Royle, J. A., King, D. I. (2011) Inference about density and temporary emigration in unmarked populations. Ecology 92, 1429--1435.

Dail, D., Madsen, L. (2011) Models for estimating abundance from repeated counts of an open population. Biometrics 67, 577--587.

Royle, J. A. (2004a) N-mixture models for estimating population size from spatially replicated counts. Biometrics 60, 108--115.

Royle, J. A. (2004b) Generalized estimators of avian abundance from count survey data. Animal Biodiversity and Conservation 27, 375--386.

See Also

covDiag, detHist, countDist, Nmix.chisq, Nmix.gof.test

Examples

# NOT RUN {
##modified example from ?pcount
# }
# NOT RUN {
if(require(unmarked)){
data(mallard)
mallardUMF <- unmarkedFramePCount(mallard.y, siteCovs = mallard.site,
                                  obsCovs = mallard.obs)
##compute descriptive stats from data object
countHist(mallardUMF)

##run single season model
fm.mallard <- pcount(~ ivel+ date + I(date^2) ~ length + elev +
                     forest, mallardUMF, K=30)
##compute descriptive stats from model object
countHist(fm.mallard)
}
# }