Plot Diagnosis Function

Description

This function enables the creation of the principle graphics resulting from the create.ETdiagnosis function.

Usage

## S3 method for class 'ETdiagnosis'
plot(x,scale=NULL,maxrange=NULL,legend.cex=NULL,ask=interactive(),...)

Arguments

Details

The scale parameter controls the scale of the BTS y-axis, it corresponds by default to the scale of results, but it's usually more practical to use a log scale.

Value

The function returns the principal plots of the global ET-Diagnosis routine: the graphics of the biomass, accessible biomass...rates for the different effort multipliers, the Biomass Trophic Spectra (BTS) for the different effort multipliers, the B/Bref(mE=1) and Y/Yref graphs for the main TL classes and the Catch Trophic Spectra (CTS) (global and per fleet).

Author(s)

Colleter Mathieu, Guitton Jerome and Gatti Paul.

Examples

data(ecopath_guinee)
diagn.list<-create.ETdiagnosis(create.ETmain(ecopath_guinee),same.mE=TRUE)
plot(diagn.list)

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(EcoTroph)
Loading required package: XML
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/EcoTroph/plot.ETdiagnosis.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.ETdiagnosis
> ### Title: Plot Diagnosis Function
> ### Aliases: plot.ETdiagnosis
> ### Keywords: ~EcoTroph ~Diagnosis
> 
> ### ** Examples
> 
> data(ecopath_guinee)
> diagn.list<-create.ETdiagnosis(create.ETmain(ecopath_guinee),same.mE=TRUE)
> plot(diagn.list)
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>