RAR_SpectrumBands: RAR_SpectrumBands

In JessLGraves/RAR: RAR: Parametric, Nonparametric, and Localized RAR Analysis

RAR_SpectrumBands

Description

Calculates area under predicted smoothed power spectrum based on user-specified frequency bands.

Usage

RAR_SpectrumBands(rar_spectrum, freq.bands, log_transform = c(TRUE,
  FALSE), id_column = NULL)

Arguments

rar_spectrum	rar_spectrum default output from RAR_Spectrum().
freq.bands	a matrix of frequency bands, e.g. (t(c(0, 2/24))), ranging between 0 and 60.
log_transform	specifies if area should be measured on log or natural scale. If power spectrum was estimated on log scale, this should set to TRUE. Default is TRUE (log scale).
id_column	name of column containing id if multiple subjects exist in dataframe. Default is NULL.

Author(s)

Jessica Graves

Examples

data(age_wise)
d <- age_wise[age_wise$id==1,]
rar_ex <- RAR(d, act, date_time, "antilogit")
spec <- RAR_Spectrum(rar_ex, "pss", TRUE)
RAR_SpectrumBands(spec, t(c(0, 2/24)), TRUE)

# Multiple bands
f1 <- c(0, 2/24); f2 <- c(2/24, 25); f3 <- c(25, 60)
fs = as.data.frame(rbind(f1, f2, f3))
RAR_SpectrumBands(spec, fs, TRUE)

# Multiple subjects, multiple bands
d4 <- age_wise[age_wise$id %in% c(1:4), ]
rar_ex4 <- RAR(d4, act, date_time, id_column=id)
spec4 <- RAR_Spectrum(rar_ex4, "pss", TRUE, id)
RAR_SpectrumBands(spec4, fs, TRUE, id) # outputs bands for each participant

JessLGraves/RAR documentation built on April 5, 2025, 3:42 p.m.