Parameter sensitivity {femmeR}R Documentation

Parameter covariance output

Description

Using Application=Parcovariance in FEMME a .PCV file is generated which can be read and further processed with these functions

Usage

read.pcv(pcvfile)

## sensitivity analysis

## S3 method for class 'pcv':
summary(object, parnames = NULL,order=TRUE,...)

## S3 method for class 'pcv':
plot(x,xvar=seq(along=sens.data[,1]),ylim=NULL,pari=seq(1,length(x$sens)-4),parnames=NULL,type='b',scale=FALSE,...)

## S3 method for class 'pcv':
points(x,xvar=seq(along=sens.data[,1]),pari=1,type='b',...)

## Collinearity tables

collin.format.table(x, parnames = NULL)

collin.remove(x, pari)

Arguments

pcvfile File ending in .pcv generated by FEMME
x object of class pcv created by read.pcv
object object of class pcv created by read.pcv
ylim Limits of the Y axis
parnames Parameter names
order Order parameters in decreasing importance
xvar Variable such as time or depth
pari Vector of parameter index
scale A logical value indicating if Y axis should be common to all parameters
type Plot type
... Additional plot parameters

Details

plot.pcv plots by default the sensitivity functions of all parameters. You can also specify to plot only a single parameter.

Adding a second set of sensitivities can be done with points.pcv

Value

read.pcv returns a list with components

sens Relative sensitivity of parameters at observed data points
collin Collinearity index for all possible parameter combinations

...

Note

Use at your own risk

Author(s)

Henrik Andersson <h.andersson@nioo.knaw.nl>

References

Soetaert et al, 2002, Ecological Modelling 151: 177-193, Brun et al, 2001, Water Resources Research 37: 1015-1030

Examples


## For examples see: vignette("femmeR")


[Package femmeR version 0.5.1 Index]