Rfast2: trim.mean – R documentation

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trim.mean

Trimmed mean

Trimmed mean.

trim.mean(x, a = 0.05)
colTrimMean(x, a = 0.05,parallel=FALSE)
rowTrimMean(x, a = 0.05,parallel=FALSE)

`x`	A numerical vector or a numerical matrix.
`a`	A number in (0, 1), the proportion of data to trim.
`parallel`	Run the algorithm parallel in C++.

The trimmed mean is computed. The lower and upper a% of the data are removed and the mean is calculated using the rest of the data.

The trimmed mean.

Michail Tsagris and Manos Papadakis

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr> and Manos Papadakis <papadakm95@gmail.com>

Wilcox R.R. (2005). Introduction to robust estimation and hypothesis testing. Academic Press.

x <- rnorm(100, 1, 1)
all.equal(trim.mean(x, 0.05),mean(x, 0.05))

x<-matrix(x,10,10)

colTrimMean(x,0.05)
rowTrimMean(x,0.05)

A Collection of Efficient and Extremely Fast R Functions II

v0.0.9

GPL (>= 2.0)

Authors

Manos Papadakis, Michail Tsagris, Stefanos Fafalios and Marios Dimitriadis.

Initial release

2021-03-21