assign_tseg_internal: Internal function that adds segment numbers to observations
In bayesmove: Non-Parametric Bayesian Analyses of Animal Movement

View source: R/segmentation_helper_functions.R

After breakpoints have been extracted for each animal ID, this function assigns the associated segment number to observations for each animal ID. These segments of observations will be used in the second stage of the model framework to perform mixed-membership clustering by Latent Dirichlet Allocation.

1	assign_tseg_internal(dat, brkpts)

`dat`	A data frame that contains all data associated for a given animal ID. Must include a column labeled `time1` that numbers each of the observations in consecutive order, which is automatically generated by `filter_time`.
`brkpts`	A data frame of breakpoints for each animal ID (as generated by `get_breakpts`).

A data frame that updates the original data object by including the segment number associated with each observation in relation to the extracted breakpoints.

bayesmove documentation built on Oct. 22, 2021, 9:08 a.m.