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

1 2 |

`stage.vectors` |
a matrix listing stage class vectors in columns |

`proportions` |
plot proportional changes or total numbers, defaults to proportions. |

`legend.coords` |
a |

`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 |

A plot of stage or age class projections

Chris Stubben

see section 2.2 in Caswell 2001

see `pop.projection`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ```
## 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)
``` |

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