Simulated single observer point count data

Simulated single observer point count data with detection p(0)=1; hn sigma=30; w=100

Format

The format is 341 obs of 4 variables: ..$ distance: numeric distance from center $ observer: Factor w/ 2 levels "1","2": 1 2 1 2 1 2 1 2 1 2 ... ..$ detected: numeric 0/1 $ object : sequential object number

Examples

# \donttest{
data(ptdata.single)
xx=ddf(dsmodel = ~cds(key="hn", formula = ~1), data = ptdata.single,
         method = "ds", meta.data = list(point=TRUE))
#> Warning: no truncation distance specified; using largest observed distance
summary(xx)
#> 
#> Summary for ds object
#> Number of observations :  341 
#> Distance range         :  0  -  95.62823 
#> AIC                    :  2928.884 
#> Optimisation           :  mrds (nlminb) 
#> 
#> Detection function:
#>  Half-normal key function 
#> 
#> Detection function parameters 
#> Scale coefficient(s): 
#>             estimate         se
#> (Intercept) 3.397033 0.02984984
#> 
#>                         Estimate          SE         CV
#> Average p              0.1940384   0.0112283 0.05786639
#> N in covered region 1757.3842381 132.8196911 0.07557806
#> EDR                   42.1240314   1.2187829 0.02893320
plot(xx,main="Simulated point count data")

# }