Plot Median polish multidimensional.

Description

Plot the effects of an additive model for multidimensional array, using Tukey's median polish procedure.

Usage

## S3 method for class 'MedianPolishM'
plot(x, ...)

Arguments

Details

The object of class MedianPolish has a list of components of effects that allow to graphic after each iterations, the behavior of this components. If the medianpolish is apply to data of class ConstructutMPst, this method has a specific graphic for data with space - time variability.

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)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(STMedianPolish)
Loading required package: maptools
Loading required package: sp
Checking rgeos availability: TRUE
Loading required package: reshape2
Loading required package: spacetime
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/STMedianPolish/plot.MedianPolishM.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.MedianPolishM
> ### Title: Plot Median polish multidimensional.
> ### Aliases: plot.MedianPolishM
> 
> ### ** Examples
> 
> A<-MedianPolishM(UCBAdmissions, eps=0.1, maxiter=2, na.rm=TRUE)
> plot(A)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>