summary.IBHM

Description

summary method for class "IBHM".

Usage

## S3 method for class 'IBHM'
summary(object, ...)

## S3 method for class 'summary.IBHM'
print(x, ...)

Arguments

Value

An object of class 'summary.IBHM' containing the following fields:

See Also

TrainIBHM

Examples

  x.train <-seq(-2,2,length.out=100)
  y.train <-tanh(x.train)
  
  m <- TrainIBHM(x.train,y.train)  
  summary(m)

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(IBHM)
Loading required package: compiler
Loading required package: DEoptim

DEoptim package
Differential Evolution algorithm in R
Authors: D. Ardia, K. Mullen, B. Peterson and J. Ulrich

Loading required package: cmaes
Loading required package: Rcpp
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/IBHM/summary.IBHM.Rd_%03d_medium.png", width=480, height=480)
> ### Name: summary.IBHM
> ### Title: summary.IBHM
> ### Aliases: summary.IBHM print.summary.IBHM summary
> ### Keywords: ~models ~regression ~nonlinear
> 
> ### ** Examples
> 
>   x.train <-seq(-2,2,length.out=100)
>   y.train <-tanh(x.train)
>   
>   m <- TrainIBHM(x.train,y.train)  
Note: no visible binding for global variable '.refClassDef' 
Note: no visible binding for global variable '.refClassDef' 
Note: no visible binding for global variable '.pointer' 
Note: no visible binding for global variable '.pointer' 
Note: no visible binding for global variable '.pointer' 
>   summary(m)
Model equation:  2.44e-02  -1.00e+00 tanh  ( 1.22e+00 * dot.pr (x,[ 1.68e+00 -8.21e-01 ]) + -2.04e+00 )   -5.25e-05 tanh  ( -2.01e+00 * radial (x,[ 2.70e-01 8.55e-01 ]) + 4.84e-01 )   -4.23e+00 tanh  ( 2.06e+00 * radial (x,[ 2.09e-06 -8.06e-01 ]) + 5.77e-03 )  
 Model size:  3 

 Train set dim:  1  Train set size:  100 
 MSE:   5.027627e-11  Std. dev: 
 RMSE:  7.090576e-06 
 Pearson correlation coefficient:  1 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>