smoothing: Smoothing a vector or a time series

In easystats/estimate: Estimation of Model-Based Predictions, Contrasts and Means

Smoothing a vector or a time series

Description

Smoothing a vector or a time series. For data.frames, the function will smooth all numeric variables stratified by factor levels (i.e., will smooth within each factor level combination).

Usage

smoothing(x, method = "loess", strength = 0.25, ...)

Arguments

x	A numeric vector.
method	Can be "loess" (default) or "smooth". A loess smoothing can be slow.
strength	This argument only applies when method = "loess". Degree of smoothing passed to span (see loess()).
...	Arguments passed to or from other methods.

Value

A smoothed vector or data frame.

Examples

x <- sin(seq(0, 4 * pi, length.out = 100)) + rnorm(100, 0, 0.2)
plot(x, type = "l")
lines(smoothing(x, method = "smooth"), type = "l", col = "blue")
lines(smoothing(x, method = "loess"), type = "l", col = "red")

x <- sin(seq(0, 4 * pi, length.out = 10000)) + rnorm(10000, 0, 0.2)
plot(x, type = "l")
lines(smoothing(x, method = "smooth"), type = "l", col = "blue")
lines(smoothing(x, method = "loess"), type = "l", col = "red")

easystats/estimate documentation built on Dec. 27, 2024, 4:18 a.m.