Last data update: 2014.03.03

R: Generates ranges of the unknowns of a linear inverse problem
XrangesR Documentation

Generates ranges of the unknowns of a linear inverse problem

Description

Given an inverse input list, generates the minimal and maximal values of the unknowns

Usage

Xranges (lim, ...)

Arguments

lim

a list that contains the linear inverse model specification, as generated by function setup.limfile.

...

extra arguments passed to function xranges from packagelimSolve.

Value

a 2-columned vector containing the minimum (column 1) and maximum (column 2) of each unknown.

Author(s)

Karline Soetaert <karline.soetaert@nioz.nl>

See Also

Varranges which estimates the ranges of inverse variables

Plotranges to plot the ranges

function xranges from packagelimSolve

Examples

# ranges
xr   <- Xranges(LIMRigaAutumn)
xlim <- range(xr)

# parsimonious
pars <- Lsei(LIMRigaAutumn)$X

# plot
dotchart(x = pars, labels = rownames(xr), xlim = xlim,  
         main = "Riga Autumn ",
         sub = "ranges and parsimonious solution", pch = 16)
cc <- 1:nrow(xr)
segments(xr[ ,1], cc, xr[ ,2], cc)

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(LIM)
Loading required package: limSolve
Loading required package: diagram
Loading required package: shape
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/LIM/Xranges.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Xranges
> ### Title: Generates ranges of the unknowns of a linear inverse problem
> ### Aliases: Xranges
> ### Keywords: optimize utilities
> 
> ### ** Examples
> 
> # ranges
> xr   <- Xranges(LIMRigaAutumn)
> xlim <- range(xr)
> 
> # parsimonious
> pars <- Lsei(LIMRigaAutumn)$X
Warning message:
In Lsei.lim(LIMRigaAutumn) :
  Lsei.lim - there are no approximate equations in lsei!
> 
> # plot
> dotchart(x = pars, labels = rownames(xr), xlim = xlim,  
+          main = "Riga Autumn ",
+          sub = "ranges and parsimonious solution", pch = 16)
> cc <- 1:nrow(xr)
> segments(xr[ ,1], cc, xr[ ,2], cc)
> 
> 
> 
> 
> dev.off()
null device 
          1 
>