stackplot: Function for plotting the result of a simulation over time

In Lobz/facilitation: A C++ Framework for Plant-Plant Interaction IBMs

Description

The stackplot function produces a stacked plot of the population over time. Notice that the population should have at least two stages for this function to work.

Usage

stackplot(mat, col, legend, log.y = FALSE, perc = F, qt = 100, ...)

Arguments

mat	A population matrix, as produced by abundance.matrix or something that can be coerced to matrix
col	Optional. A color vector
legend	Optional. An array of names with the names of the stages. Use legend=FALSE to supress the legend.
log.y	Logical. Should the y-axis be plotted in a logarithmic scale?
perc	Logical. If set to true, will output the y-axis as a percentage instead of the absolute numbers
qt	Optional. For distributions, show only up to quantile qt (percentage)
...	Further parameters to be passed to the lower level plot function

Examples

data(twospecies)
ab <- abundance.matrix(twospecies,seq(0,twospecies$maxtime,by=1))
# species 1
stackplot(ab[,1:3])
# species 2
stackplot(ab[,4:5])

Lobz/facilitation documentation built on May 7, 2019, 2:01 p.m.