This function extracts various summary statistics from count data of
various `unmarkedFrame`

and `unmarkedFit`

classes.

```
countHist(object, plot.freq = TRUE, cex.axis = 1, cex.lab = 1,
cex.main = 1, ...)
```# S3 method for unmarkedFramePCount
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1, ...)

# S3 method for unmarkedFitPCount
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1, ...)

# S3 method for unmarkedFrameGPC
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1, ...)

# S3 method for unmarkedFitGPC
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1, ...)

# S3 method for unmarkedFrameMPois
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1, ...)

# S3 method for unmarkedFitMPois
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1, ...)

# S3 method for unmarkedFramePCO
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1,
plot.seasons = FALSE, ...)

# S3 method for unmarkedFitPCO
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1,
plot.seasons = FALSE, ...)

# S3 method for unmarkedFrameGMM
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1,
plot.seasons = FALSE, ...)

# S3 method for unmarkedFitGMM
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1,
plot.seasons = FALSE, ...)

# S3 method for unmarkedFrameMMO
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1,
plot.seasons = FALSE, ...)

# S3 method for unmarkedFitMMO
countHist(object, plot.freq = TRUE,
cex.axis = 1, cex.lab = 1, cex.main = 1,
plot.seasons = FALSE, ...)

`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.

- 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.

- cex.axis
expansion factor influencing the size of axis annotations on plots produced by the function.

- cex.lab
expansion factor influencing the size of axis labels on plots produced by the function.

- cex.main
expansion factor influencing the size of the main title above plots produced by the function.

- 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.

Marc J. Mazerolle

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`

, `unmarkedFrameMMO`

classes as input.
For convenience, the function can also extract the raw data from model
objects of classes `unmarkedFitPCount`

, `unmarkedFitGPC`

,
`unmarkedFitMPois`

, `unmarkedFitPCO`

, `unmarkedFitGMM`

,
and `unmarkedFitMMO`

. Note that different model objects using the
same data set will have identical values.

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.

`covDiag`

, `detHist`

, `detTime`

,
`countDist`

, `Nmix.chisq`

,
`Nmix.gof.test`

```
##modified example from ?pcount
if (FALSE) {
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)
}
}
```

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