popbio (version 2.4.3)

stage.vector.plot: Plot stage vector projections

Description

Plots short-term dynamics and convergence to stage stage distribution using stage vector projections.

Usage

stage.vector.plot(stage.vectors, proportions=TRUE, legend.coords="topright", 
        ylim=NULL, xlab="Years", ylab=NULL, col=rainbow(8),  ... )

Arguments

stage.vectors

a matrix listing stage class vectors in columns

proportions

plot proportional changes or total numbers, defaults to proportions.

legend.coords

a legend keyword or vector of x,y coordinates, defaults to top-right corner

ylim

the y limits of the plot, defaults to min and max values in stage.vectors

xlab

a label for the x axis

ylab

a label for the y axis

col

vector of line colors, defaults to rainbow(8)

...

additional options are passed to plot function

Details

A plot of stage or age class projections

References

see section 2.2 in Caswell 2001

See Also

see pop.projection

Examples

Run this code
# NOT RUN {
## matrix from Example 2.1 in Caswell
A<-matrix(c(
0, 0.3,   0,
1,   0, 0.5,
5,   0,   0
), nrow=3, dimnames=list(1:3,1:3))
n<-c(1,0,0)
p<-pop.projection(A,n,60)

## Plots in Figure 2.3
stage.vector.plot(p$stage.vector[,1:15], col='black', las=1, prop=FALSE)
stage.vector.plot(p$stage.vector[,1:40], col=2:4, las=1)
## log-scale with custom y-axis
stage.vector.plot(p$stage.vector, col=2:4, prop=FALSE,
ylim=c(.01, 10), log='y', legend="bottomright", yaxt='n')
pwrs<- -2:1
# major ticks
axis(2, at = 10^pwrs, labels=parse(text=paste("10^", pwrs, sep = "")),
las=1, tcl= -.6)
# minor ticks
axis(2, at = 1:9 * rep(10^pwrs[-1] / 10, each = 9),
    tcl = -0.3, labels = FALSE)

# }

Run the code above in your browser using DataCamp Workspace