example data to test the functionality of the package

Description

Example data generated with the generate.Guilds function using the parameters: theta = 200, alpha X = 0.005, alpha Y = 0.001

Usage

data(exampleData)

Format

The data is stored in a list with:

guildX

- Species abundance distribution for guild X

guildY

- Species abundance distribution for guild Y

Examples

data(exampleData);
parametervals <- c(200,0.005,0.001) #theta = 200, alpha X = 0.005, alpha Y = 0.001
LL = logLikelihood.Guilds(parametervals,model="D1",
			  exampleData$guildX,exampleData$guildY,verbose=TRUE);

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(GUILDS)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GUILDS/exampleData.Rd_%03d_medium.png", width=480, height=480)
> ### Name: exampleData
> ### Title: example data to test the functionality of the package
> ### Aliases: exampleData
> ### Keywords: datasets
> 
> ### ** Examples
> 
> data(exampleData);
> parametervals <- c(200,0.005,0.001) #theta = 200, alpha X = 0.005, alpha Y = 0.001
> LL = logLikelihood.Guilds(parametervals,model="D1",
+ 			  exampleData$guildX,exampleData$guildY,verbose=TRUE);
Chosen model:  D1 
Now starting to calculate likelihood of: 
Theta X = 200  Theta Y = Theta X 	 Alpha X = 0.005  Alpha Y = 0.001 
200.000       200.0000       0.0050       0.0010        -390.917
Likelihood is  -390.9169 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>