distances: distances - Observation distances

In tmcd82070/Rdistance: Density and Abundance from Distance-Sampling Surveys

distances - Observation distances

Description

Extract the observation distances (i.e., responses for an Rdistance model) from an Rdistance model frame.

Usage

distances(ml, na.rm = TRUE, ...)

Arguments

ml	Either a Rdistance 'model frame' or an Rdistance 'fitted object'. Both are of class "dfunc". Rdistance 'model frames' are lists containing components necessary to estimate a distance function, but no estimates. Rdistance 'model frames' are typically produced by calls to parseModel. Rdistance 'fitted objects' are typically produced by calls to dfuncEstim. 'Fitted objects' are 'model frames' with additional components such as the parameters estimates, log likelihood value, convergence information, and the variance- covariance matrix of the parameters.
na.rm	Whether to include or exclude missing distance values. In ml, the model list containing the model frame, missing values of the response (distance) are potentially present for two reasons: (1) they are outside the strip w.lo to w.hi, and (2) they are missing because the crew did not get a distance for that observation.
...	Ignored

Value

A vector containing observation distances contained in the Rdistance model frame.

Examples

data(sparrowDf)
sparrowModel <- parseModel( sparrowDf, dist ~ observer )
stats::model.response(sparrowModel$mf)
distances(sparrowModel) # same, but future-proof

tmcd82070/Rdistance documentation built on April 13, 2025, 1:38 p.m.