transitionProbs: Plot and generate data for transition frequencies between...

In phase: Analyse Biological Time-Series Data

Plot and generate data for transition frequencies between sleep stages

Description

This function generates a sankey plot enabling the visualization of percentage of times transtions from various states of activity and sleep occur. This function also generates a data table to download individual values of these transition percentages. Sleep stages are defined as follows: 5 to 30-min as short sleep (light blue), 30 to 60-min as intermediate sleep (medium blue) and 60 to 720-min as deep sleep (dark blue). Activity is defined as the standard number of beam crosses. The input for this function must be the output of the trimData() function. The output of this function is a list. Note: At this moment, this works accurately only for 24-h days.

Usage

transitionProbs(data, n.days, photoperiod = 12)

Arguments

data	Input data file. The input for this function must be the output of the function trimData(). See ??trimData().
n.days	The number of cycles for which sleep stages must be visualized.
photoperiod	This value determines the duration of photo-phase and scoto-phase of the 24-h day. Defaults to 12.

Value

A list with two items:

Plots

A plotly htmlwidget with the Sankey diagram (representing the average transition percentages).

Data

A matrix array with individual wise transition percentages.

Examples

## Not run: 
td <- trimData(data = df, start.date = "19 Dec 20", start.time = "21:00",
n.days = 2, bin = 1, t.cycle = 24)
tp <- transitionProbs(data = td, n.days = 1)

## End(Not run)

phase documentation built on April 1, 2023, 12:10 a.m.