Error Rate

Description

Calculate the Error Rate of a partition

Usage

error.rate(clust1,clust2)
rand.index(LabelA,LabelB)

Arguments

Details

clust1 and clust 2 must match, i.e, same number of clusters

Value

error.rate gives Error Rate

Examples

clu1<-c(1,2,3,1,1,2,2,3,3)
clu2<-c(2,2,2,1,1,1,3,3,3)
error.rate(clu1, clu2)
rand.index(clu1, clu2)

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)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(EMMIXskew)
Loading required package: lattice
Loading required package: mvtnorm
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/EMMIXskew/error.rate.Rd_%03d_medium.png", width=480, height=480)
> ### Name: error.rate
> ### Title: Error Rate
> ### Aliases: error.rate rand.index
> ### Keywords: cluster datasets
> 
> ### ** Examples
> 
> clu1<-c(1,2,3,1,1,2,2,3,3)
> clu2<-c(2,2,2,1,1,1,3,3,3)
> error.rate(clu1, clu2)
[1] 0.4444444
> rand.index(clu1, clu2)
          Rand Index (RI) Adjusted Rand Index (ARI) 
               0.61111111               -0.03703704 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>