plot_breakpoints_behav: Internal function for plotting breakpoints over each of the...
In bayesmove: Non-Parametric Bayesian Analyses of Animal Movement

View source: R/segmentation_helper_functions.R

An internal function for plotting the results of the segmentation model.

1	plot_breakpoints_behav(data, as_date, var_names, var_labels, brkpts)

`data`	A data frame for a single animal ID that contains columns for the ID, date or time variable, and each of the movement variables that were analyzed by `segment_behavior`. Data streams can be in continuous or discrete form.
`as_date`	logical. If `TRUE`, plots breakpoints and data streams over the date. By default, this is set to `FALSE`.
`var_names`	A vector of the column names for the movement variables to be plotted over time.
`var_labels`	A vector of the labels to be plotted on the y-axis for each movement variable. Set to `NULL` by default.
`brkpts`	A data frame that contains the breakpoints associated with each animal ID. This data frame is returned by `get_breakpts`.

A line plot for each movement variable showing how the estimated breakpoints relate to the underlying data. Depending on the user input for var_names, this may either be on the scale of the original continuous data or the discretized data.

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