trimmedMean: Trimmed Mean Smoother

In gsmoothr: Smoothing tools

Description

A slow trimmed mean smoother (using R code) of data at discrete points (e.g. probe-level data).

Usage

trimmedMean(pos, score, probeWindow=600, meanTrim=.1, nProbes=10) 

Arguments

pos	numeric vector of positions (x-values)
score	numeric vector of data (corresponding to sp
probeWindow	distance (in x) in each direction to look for observations to be used in the trimmed mean
meanTrim	proportion of trim to use in trimmed mean
nProbes	minimum number of observations required within window

Details

Using the specified probe window, this procedure uses all values within the window and calculates a trimmed mean with the specified amount of trim. If there are not enough observations within the window at a given position (as given by nProbes), a zero is returned.

Value

vector (of the same length as sp giving the trimmed mean smoothed values

Author(s)

Mark Robinson

See Also

tmeanC

Examples

sp <- seq(100, 1000, by=100)
ss <- seq(100,1000, by=50)
set.seed(14)
x <- rnorm(length(sp))

tmC <- trimmedMean(sp, x, probeWindow=300, nProbes=5)

gsmoothr documentation built on May 2, 2019, 5:53 p.m.