plot: Title Plot a detection histogram of apparent density and the...

In RoyChristian/R2MCDS: Calling MCDS from R.

Description

Title Plot a detection histogram of apparent density and the predicted detction curve for the model.

Usage

plot.distanceFit(model)

Arguments

model

A distanceFit object

Details

Make a histogram of the observations and the predicted detection curve in function of the distance class

Author

Christian Roy

Examples

data(alcidae)
alcids <- mcds.filter(alcidae, transect.id = "WatchID", distance.field = "Distance", distance.labels = c("A", "B", "C", "D"), 
                         distance.midpoints = c(25, 75, 150, 250), effort.field = "WatchLenKm", lat.field = "LatStart", 
                         long.field = "LongStart", sp.field = "Alpha", date.field = "Date") 

### Run analysis with the MCDS engine. Here, the WatchID is used as the sample.
dist.out1 <- mcds.wrap(alcids, SMP_EFFORT="WatchLenKm",DISTANCE="Distance",SIZE="Count",Type="Line",
                         units=list(Distance="Perp",Length_units="Kilometers",
                                    Distance_units="Meters",Area_units="Square kilometers"),
                         breaks=c(0,50,100,200,300), estimator=list(c("HN","CO")),
                         STR_LABEL="STR_LABEL", STR_AREA="STR_AREA",SMP_LABEL="WatchID", 
                         path="c:/temp/distance",
                         pathMCDS="C:/Distance 6",verbose=FALSE)

summary(dist.out1)
plot(dist.out1)

#END

RoyChristian/R2MCDS documentation built on Jan. 13, 2020, 8:17 p.m.