Summarize an epplab Object

Description

Summarizes and prints an epplab object in an informative way.

Usage

## S3 method for class 'epplab'
summary(object, which = 1:10, ...)

Arguments

Details

The option which can restrict the output to certain simulation runs. In case of many simulations, this might improve the readability.

Author(s)

Daniel Fischer

Examples

library(tourr)
data(olive)
res <- EPPlab(olive[,3:10],PPalg="PSO",PPindex="KurtosisMin",n.simu=10, maxiter=20)
summary(res)

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(REPPlab)
Loading required package: rJava
Loading required package: lattice
Loading required package: LDRTools
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/REPPlab/summary.epplab.Rd_%03d_medium.png", width=480, height=480)
> ### Name: summary.epplab
> ### Title: Summarize an epplab Object
> ### Aliases: summary,epplab-method summary-method summary.epplab
> ### Keywords: methods print
> 
> ### ** Examples
> 
> 
> library(tourr)
> data(olive)
> res <- EPPlab(olive[,3:10],PPalg="PSO",PPindex="KurtosisMin",n.simu=10, maxiter=20)
Simulation 0... finished (I -2.868350318 in 0.632s)
Simulation 1... finished (I -3.380919129 in 0.190s)
Simulation 2... finished (I -0.314026489 in 0.043s)
Simulation 3... finished (I -7.162072671 in 0.023s)
Simulation 4... finished (I -24.242432684 in 0.465s)
Simulation 5... finished (I -18.241352685 in 0.274s)
Simulation 6... finished (I -0.891654360 in 0.027s)
Simulation 7... finished (I -0.392757309 in 0.027s)
Simulation 8... finished (I -9.501049530 in 0.050s)
Simulation 9... finished (I -16.006173497 in 0.025s)
Warning message:
In EpplabOutputConv(jepplab, maxiter) :
  There were 10 non-converged simulation runs!
> summary(res)
REPPlab Summary
---------------
Index name       : KurtosisMin 
Index values     : -0.3140265 -0.3927573 -0.8916544 -2.86835 -3.380919 -7.162073 -9.50105 -16.00617 -18.24135 -24.24243 
Algorithm used   : PSO 
Sphered          : FALSE 
Iterations       : 20 20 20 20 20 20 20 20 20 20 
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>