bce output generated by running the bceInput example

Description

Result generated by running BCE using data bceInput as input.

the run was initiated with the following command:

bceOutput <- BCE(bceInput$Rat,bceInput$Dat,relsdRat=.2,relsdDat=.2,

iter=100000,outputlength=5000,jmpX=.02,jmpRat=.2*(.2*bceInput$Rat))

this run took several minutes.

Usage

bceOutput

Examples

summary(bceOutput)$meanX

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(BCE)
Loading required package: FME
Loading required package: deSolve

Attaching package: 'deSolve'

The following object is masked from 'package:graphics':

    matplot

Loading required package: rootSolve
Loading required package: coda
Loading required package: limSolve
Loading required package: Matrix
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/BCE/bceOutput.rd_%03d_medium.png", width=480, height=480)
> ### Name: bceOutput
> ### Title: bce output generated by running the bceInput example
> ### Aliases: bceOutput
> ### Keywords: datasets
> 
> ### ** Examples
> 
> 
> summary(bceOutput)$meanX
          species1   species2  species3  species4  species5
sample1 0.02503498 0.04816580 0.3369675 0.2706247 0.3192070
sample2 0.30287018 0.05707375 0.1793557 0.2295378 0.2311626
sample3 0.42950103 0.06408520 0.1323277 0.1922717 0.1818144
sample4 0.22868879 0.32560762 0.1022658 0.1591701 0.1842676
sample5 0.16835843 0.23543653 0.1358605 0.2239845 0.2363600
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>