SHE Analysis
she(object, ...)# S4 method for matrix
she(
object,
unbiased = FALSE,
xlab = NULL,
ylab = NULL,
main = NULL,
sub = NULL,
ann = graphics::par("ann"),
axes = TRUE,
frame.plot = axes,
panel.first = NULL,
panel.last = NULL,
legend = list(x = "right"),
...
)
# S4 method for data.frame
she(
object,
unbiased = FALSE,
xlab = NULL,
ylab = NULL,
main = NULL,
sub = NULL,
ann = graphics::par("ann"),
axes = TRUE,
frame.plot = axes,
panel.first = NULL,
panel.last = NULL,
legend = list(x = "right"),
...
)
she() is called for its side-effects: it results in a graphic being
displayed (invisibly returns object).
A \(m \times p\) numeric matrix or
data.frame of count data (absolute frequencies giving the number of
individuals for each category, i.e. a contingency table). A data.frame
will be coerced to a numeric matrix via data.matrix().
Further graphical parameters to be passed to
graphics::lines() and graphics::points().
A logical scalar: should the bias-corrected estimator be
used (see index_shannon())?
A character vector giving the x and y axis labels.
A character string giving a main title for the plot.
A character string giving a subtitle for the plot.
A logical scalar: should the default annotation (title and x,
y and z axis labels) appear on the plot?
A logical scalar: should axes be drawn on the plot?
A logical scalar: should a box be drawn around the
plot?
An an expression to be evaluated after the plot axes are
set up but before any plotting takes place. This can be useful for drawing
background grids.
An expression to be evaluated after plotting has taken
place but before the axes, title and box are added.
A list of additional arguments to be passed to
graphics::legend(); names of the list are used as argument names.
If NULL, no legend is displayed.
N. Frerebeau
If samples are taken along a gradient or stratigraphic section, breaks in the curve may be used to infer discontinuities.
This assumes that the order of the matrix rows (from \(1\) to \(n\)) follows the progression along the gradient/transect.
Buzas, M. A. & Hayek, L.-A. C. (1998). SHE analysis for biofacies identification. Journal of Foraminiferal Research, 1998, 28(3), 233-239.
Hayek, L.-A. C. & Buzas, M. A. (2010). Surveying Natural Populations: Quantitative Tools for Assessing Biodiversity. Second edition. New York: Columbia University Press.
Other diversity measures:
diversity(),
evenness(),
heterogeneity(),
occurrence(),
plot.DiversityIndex(),
plot.RarefactionIndex(),
profiles(),
rarefaction(),
richness(),
similarity(),
simulate(),
turnover()
## Data from Conkey 1980, Kintigh 1989
data("cantabria")
## SHE analysis
she(cantabria)
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