rsleep (version 1.0.7)

transitions: Count and format stages transitions.

Description

Count and format stages transitions.

Usage

transitions(
  hypnogram,
  stages = c("AWA", "REM", "N1", "N2", "N3"),
  format = "vector"
)

Value

Count of stages transitions in selected format.

Arguments

hypnogram

A hypnogram dataframe. Dataframe must contain begin (POSIXt), end (POSIXt) and event (character) columns.

stages

Stages to include in transitions Defaults to c("N1", "N2", "N3", "N4", "REM").

format

Set the return format. 'vector', 'dataframe' or 'heatmap'.

References

Swihart BJ, Punjabi NM, Crainiceanu CM. Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses. Comput Stat Data Anal. 2015 Sep;89:1-11. doi: 10.1016/j.csda.2015.03.001. PMID: 27182097; PMCID: PMC4865264.

Examples

download.file("https://rsleep.org/data/hypnodensity.csv", "hypnodensity.csv")

hypnodensity <- read.csv2("hypnodensity.csv")

unlink("hypnodensity.csv")

events <- hypnogram(hypnodensity)

transitions(events)

transitions(events, format = "dataframe")

transitions(events, format = "heatmap")

events <- data.frame(event = c(
  "AWA","N1","N2","N2", "N3","N3",
  "REM","N2","REM","REM", "N2","REM","AWA"))

events$begin <- as.POSIXlt(seq(from = 0, to = 30*(nrow(events)-1), by = 30),origin = "1970-01-01")

events$end <- as.POSIXlt(seq(from = 30, to = 30*nrow(events), by = 30), origin = "1970-01-01")

transitions(events)

transitions(events, format = "dataframe")

transitions(events, format = "heatmap")