peak_functions: Peak Functions for Peak Detection in Univariate Time Series

In scorepeak: Peak Functions for Peak Detection in Univariate Time Series

Description

scorepeak package provides several types of peak function. See the vignette "Introduction to scorepeak" for detail.

Usage

score_type1(data, w, boundary = "reflecting")

score_type2(data, w, boundary = "reflecting")

score_type3(data, w, boundary = "reflecting")

Arguments

data	a numeric vector. Length of data must be greater than 1.
w	window size. w must be odd and greater than 2 and smaller than double length of data.
boundary	determines how data points in the beginning and end of the time series will be treated. "reflecting", "r": reflecting boundary condition, "periodic", "p": periodic boundary condition, "discard", "d", discarding data points in the beginning and end of the time series. See the vignette "Introduction to scorepeak" for detail.

Value

a numeric vector

Author(s)

Shota Ochi

Examples

data("ecgca102")
plot(ecgca102, type = "l", ylim = c(-0.38, 0.53))
points(seq(length(ecgca102)), score_type1(ecgca102, 51), col = "red", type = "l")
points(seq(length(ecgca102)), score_type2(ecgca102, 51), col = "blue", type = "l")
points(seq(length(ecgca102)), score_type3(ecgca102, 51), col = "green", type = "l")

Example output

scorepeak documentation built on Aug. 21, 2019, 9:05 a.m.