MedianPolishM.default: Median polish multidimensional.

In STMedianPolish: Spatio-Temporal Median Polish

Description

An additive model for multidimensional array is fitted, using Tukey's median polish procedure.

Usage

## Default S3 method:
MedianPolishM(data, eps = 0.01, maxiter = 10L,
  na.rm = TRUE, ...)

Arguments

data	object of class array, table or matrix (see details).
eps	real number greater than 0, default 0.01. A tolerance for convergence: see Details
maxiter	the maximum number of iterations. Default 10.
na.rm	logical. If the data contains NA's. Default TRUE.
...	ignored.

Details

The model fitted is additive constant + dim_{1} + dim_{2} + \cdots + dim_{n}. The algorithm works by alternately removing medians of dim_{1}, \cdots, dim_{n}, and continues until the proportional reduction in the sum of absolute residuals is less than eps or until there have been maxiter iterations. If na.rm is FALSE, the presence of any NA value in x will cause an error, otherwise NA values are ignored. MedianPolishM returns an object of class MedianPolishM (see below). There is a plotting method for this class, plot.MedianPolishM.

Value

An object of class medpolish with the following named components in a list:

residuals	the residuals.
overall	the fitted constant term.
effects	the fitted every dimensions effects of array multidimensional.
iter	number of iterations used in the range maxiter.

References

Hoaglin, D. C., Mosteller, F., & Tukey, J. W. (Eds.). (2011). Exploring data tables, trends, and shapes (Vol. 101). John Wiley & Sons.[link]

Examples

A<-MedianPolishM(UCBAdmissions, eps=0.1, maxiter=2, na.rm=TRUE)
plot(A)

Example output

STMedianPolish documentation built on May 2, 2019, 10:14 a.m.