centre: Mean function, variance function, median function, trim mean...

In ftsa: Functional Time Series Analysis

Mean function, variance function, median function, trim mean function of functional data

Description

Mean function, variance function, median function, trim mean function of functional data

Usage

centre(x, type)

Arguments

x	An object of class matrix.
type	Mean, variance, median or trim mean?

Value

Return mean function, variance function, median function or trim mean function.

Author(s)

Han Lin Shang

See Also

pcscorebootstrapdata, mean.fts, median.fts, sd.fts, var.fts

Examples

# mean function is often removed in the functional principal component analysis.
# trimmed mean function is sometimes employed for robustness in the presence of outliers.
# In calculating trimmed mean function, several functional depth measures were employed.	
centre(x = ElNino_ERSST_region_1and2$y, type = "mean")
centre(x = ElNino_ERSST_region_1and2$y, type = "var")
centre(x = ElNino_ERSST_region_1and2$y, type = "median")
centre(x = ElNino_ERSST_region_1and2$y, type = "trimmed")

ftsa documentation built on May 29, 2024, 2:47 a.m.