| plot_rank {tabula} | R Documentation | 
Rank Plot
Description
Plots a rank vs relative abundance diagram.
Usage
plot_rank(object, ...)
## S4 method for signature 'matrix'
plot_rank(
  object,
  log = NULL,
  main = NULL,
  sub = NULL,
  ann = graphics::par("ann"),
  axes = TRUE,
  frame.plot = axes,
  panel.first = NULL,
  panel.last = NULL,
  legend = list(x = "topright"),
  ...
)
## S4 method for signature 'data.frame'
plot_rank(
  object,
  log = NULL,
  main = NULL,
  sub = NULL,
  ann = graphics::par("ann"),
  axes = TRUE,
  frame.plot = axes,
  panel.first = NULL,
  panel.last = NULL,
  legend = list(x = "topright"),
  ...
)
Arguments
| object | A  | 
| ... | Further graphical parameters. | 
| log | A  | 
| main | A  | 
| sub | A  | 
| ann | A  | 
| axes | A  | 
| frame.plot | A  | 
| panel.first | An an  | 
| panel.last | An  | 
| legend | A  | 
Value
plot_rank() is called for its side-effects: it results in a graphic
being displayed (invisibly returns object).
Author(s)
N. Frerebeau
References
Magurran, A. E. (1988). Ecological Diversity and its Measurement. Princeton, NJ: Princeton University Press. doi:10.1007/978-94-015-7358-0.
See Also
Other plot methods: 
matrigraph(),
plot_bertin(),
plot_diceleraas(),
plot_diversity,
plot_ford(),
plot_heatmap(),
plot_rarefaction,
plot_spot(),
seriograph()
Examples
## Data from Conkey 1980, Kintigh 1989
data("cantabria")
## Plot rank vs abundance
plot_rank(cantabria)
## Change graphical parameters
col <- khroma::color("bright")(5)
plot_rank(cantabria, col = col, pch = 15:19, lty = 2)