observation_hist: Plot a detection histogram of apparent density.
In RoyChristian/R2MCDS: Calling MCDS from R.

Description Usage Arguments Details Author Examples

This function will allow the user to visualise the histogram of observations in function of distance class.

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observation_hist(dataset, count, dist.class, keep.class, breaks,
  color = "white", ungroup = F, rescale = 1, Type = c("Line",
  "Point"))

`dataset`	A `data.frame` containing observations.
`count`	which column in the data.frame hold the information for the cluster size.
`dist.class`	which column in the data.frame hold the information for the distance class.
`keep.class`	which class of observations should be used for the analysis.
`breaks`	what are the intervals for the distance analysis.
`color`	fill color for the bars
`ungroup`	will plot the Count histogram instead of the group histogram if TRUE
`rescale`	set the height of the first bin
`Type`	Type of transect

Make a histogram of the observations in function of the distance class

Christian Roy

###Import the data
data(alcidae)

###Check the naïve detection histogram for alcidae
Observation_hist(alcidae, count="Count", dist.class="Distance", keep.class=c("A", "B", "C", "D"), breaks=c(0,50,100,200,300), color="white")
#END