blck: Rolling operations

In kvasilopoulos/transx: Transform Univariate Time Series

Description

Apply rolling operations over a moving window for size n and increment step.

Usage

blck(x, fn, n = 1L, fill = NA, align = "left", ...)

blck_data(x, n = 1L)

Arguments

x	[univariate vector] Univariate vector, numeric or ts object with only one dimension.
fn	[function]
n	[positive integer(1):1L] Window size.
fill	[numeric or function: NA] Numeric value(s) or function used to fill observations.
align	[character(1): "left"] Specifying whether the index of the result should be left- or right-aligned or centered (default) compared to the rolling window of observations.
...	Additional arguments passed to the function fn.

Value

• roll() returns a vector with the same class and attributes as the input vector.

• roll_data() Returns a list of length length(x)/step.

Examples

x <- seq(10, 1, -1)

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