summarize_tsegs: Summarize observations within bins per track segment
In bayesmove: Non-Parametric Bayesian Analyses of Animal Movement

Description Usage Arguments Value Examples

Prepares the data that has already been segmented for clustering by Latent Dirichlet Allocation. This function summarizes the counts observed per movement variable bin within each track segment per animal ID.

1	summarize_tsegs(dat, nbins)

`dat`	A data frame of only the animal ID, track segment number, and the discretized data for each movement variable. Animal ID and time segment must be the first two columns of this data frame. This should be a simplified form of the output from `assign_tseg`.
`nbins`	numeric. A vector of the number of bins used to discretize each movement variable. These must be in the same order as the columns within `dat`.

A new data frame that contains the animal ID, track segment number, and the counts per bin for each movement variable. The names for each of these bins are labeled according to the order in which the variables were provided to summarize_tsegs.

#load data
data(tracks.seg)

#select only id, tseg, SL, and TA columns
tracks.seg2<- tracks.seg[,c("id","tseg","SL","TA")]

#run function
obs<- summarize_tsegs(dat = tracks.seg2, nbins = c(5,8))