matplot2: Plot a matrix

In popbio: Construction and Analysis of Matrix Population Models

Plot a matrix

Description

Plot the rows of a matrix. Useful for displaying a matrix of stage vectors, survival rates and sensitivities.

Usage

matplot2(
  x,
  proportions = FALSE,
  legend = "topright",
  xlab = NULL,
  ylab = NULL,
  type = "l",
  las = 1,
  pch = c(15:18, 1:3),
  lwd = 1,
  lty = 1:nrow(x),
  col = 1:nrow(x),
  lcex = 1,
  lbty = "o",
  lcol = 1,
  ltitle = NULL,
  lsort = TRUE,
  ...
)

Arguments

x	a matrix
proportions	If TRUE, then plot proportional changes
legend	a legend keyword or vector of x,y coordinates, defaults to top-right corner
xlab	a label for the x axis
ylab	a label for the y axis
type	plot type, default line
las	style of axis labels, default horizontal
pch	point types
lwd	line width
lty	line type
col	color
lcex	legend size expansion
lbty	legend box type
lcol	number of columns in legend
ltitle	legend title
lsort	sort legend by decreasing order of mean number in row
...	additional options are passed to plot function

Value

A matrix plot

Note

Only a few basic legend options are available. For more control, set legend=NA and run separately

Author(s)

Chris Stubben

See Also

matplot and stage.vector.plot

Examples

# survival rates
x <- calathea[9:12]
x <- sapply(x, function(x) colSums(splitA(x, r=1:2)$T))
matplot2(t(x), legend="bottomright", ylab="Survival",
 main="Calathea survival curves")
# Growth rates - do not sort legend
x <- sapply(calathea[-17], lambda)
x <- matrix(x, nrow=4, byrow=TRUE, dimnames= list(paste("plot", 1:4), 1982:1985))
matplot2(x, type='b', lsort=FALSE, ylab="Growth rate", main="Calathea growth rates")
# Convergence to stable stage (excluding seeds)
x <- pop.projection(calathea[[7]], rep(1,8), 10)
matplot2(x$stage.vectors[-1,], prop=TRUE,
  main="Calathea stage vectors", lcex=.7)

popbio documentation built on May 29, 2024, 4:35 a.m.