dtrend: Deterministic Trend

In kvasilopoulos/transx: Transform Univariate Time Series

Description

Remove global deterministic trend information from the series.

• dt_lin removes the linear trend.

• dt_quad removes the quadratic trend.

• dt_poly removes the nth-degree polynomial trend.

Usage

dtrend_lin(x, bp = NULL, na.rm = getOption("transx.na.rm"))

dtrend_quad(x, bp = NULL, na.rm = getOption("transx.na.rm"))

dtrend_poly(x, degree, bp = NULL, na.rm = getOption("transx.na.rm"))

Arguments

x	[univariate vector] Univariate vector, numeric or ts object with only one dimension.
bp	[positive integer(1)] Break points to define piecewise segments of the data.
na.rm	[logical(1): getOption("transx.na.rm")] A value indicating whether NA values should be stripped before the computation proceeds.
degree	[positive integer(1)] Value indicating the degree of polynomial

Value

Returns a vector with the same class and attributes as the input vector.

Examples

set.seed(123)
t <- 1:20

# Linear trend
x <-  3*sin(t) + t
plotx(cbind(x, dtrend_lin(x)))

# Quadratic trend
x2 <-  3*sin(t) + t + t^2
plotx(cbind(raw = x2, quad = dtrend_quad(x2)))

# Introduce a breaking point at point = 10
xbp <- 3*sin(t) + t
xbp[10:20] <- x[10:20] + 15
plotx(cbind(raw = xbp, lin = dtrend_lin(xbp), lin_bp = dtrend_lin(xbp, bp = 10)))

kvasilopoulos/transx documentation built on Jan. 26, 2021, 6:14 p.m.