msce: Mean Sum of Circular Errors.

In isocir: Isotonic Inference for Circular Data

Mean Sum of Circular Errors.

Description

This function computes the MSCE between and order and a set of data.

Usage

msce(data, posorder, ws=NULL, ...)

Arguments

data	vector or matrix of data to be processed. See details.
posorder	The posicions of the order.
...	arguments to pass to CIRE.
ws	the weights.

Details

This function computes the MSCE between and order and a set of data.

Value

A list with the elements:

msce	The mean of the mean sum of circular errors.
msces	a vector with the mean sum of circular errors for each experiment.

Author(s)

Author(s): Sandra Barragán. Maintainer: <[e-mail]>

See Also

sce, cond.test, mrl, isocir, plot.isocir.

Examples

data(cirgenes)
msce(cirgenes, posorder = c(1:ncol(cirgenes)))

isocir documentation built on Aug. 17, 2023, 9:07 a.m.