building_blocks: Building Blocks of Peak Functions

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

Description

Computes max, min, mean, and standard deviation of temporal neighbors.

Usage

max_neighbors(data, w, side, boundary = "reflecting")

min_neighbors(data, w, side, boundary = "reflecting")

mean_neighbors(data, w, side, boundary = "reflecting")

sd_neighbors(data, w, side, 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.
side	determines which side of neighbors of data point will be used in calculation. "left", "l": left temporal neighbors, "right", "r": right temporal neighbors, "both", "b": left and right temporal neighbors, "all", "a": data point and its left and right temporal neighbors.
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")
max_neighbors(ecgca102, 11, "all")
min_neighbors(ecgca102, 11, "all")
mean_neighbors(ecgca102, 11, "all")
sd_neighbors(ecgca102, 11, "all")

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