cts_kernel_generator: Circadian Time of Death from Kernal Density of Real Data

In weiiizong/powerCircadian: An R package for circadian data power calculation

Description

Sample circadian time of death from the density of observed time of death in real data.

Usage

cts_kernel_generator(observed_cts, cts_lb = 0, cts_ub = 24, n)

Arguments

observed_cts	Observed time of death in real data. Lie between cts_lb and cts_ub.
cts_lb	Lower bound of time of death.
cts_ub	Lower bound of time of death.
n	Number of time of death to generate.

Details

Generate circadian time of death at various sample sizes from kernel density estimated from observed time of death in real data.

Value

A time of deach vector of length n

Author(s)

Wei Zong, Zhiguang Huo

Examples

data(brain_data)
cts_kernel_generator(observed_cts=BA11_BA47.TOD, cts_lb = 0, cts_ub = 24, n = 100)

weiiizong/powerCircadian documentation built on Dec. 23, 2021, 5:09 p.m.