she | R Documentation |
SHE Analysis
she(object, ...)
## S4 method for signature '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 signature '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"),
...
)
object |
A |
... |
Further graphical parameters to be passed to
|
unbiased |
A |
xlab , ylab |
A |
main |
A |
sub |
A |
ann |
A |
axes |
A |
frame.plot |
A |
panel.first |
An an |
panel.last |
An |
legend |
A |
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.
she()
is called for its side-effects: it results in a graphic being
displayed (invisibly returns object
).
N. Frerebeau
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:
heterogeneity()
,
occurrence()
,
plot_diversity
,
plot_rarefaction
,
profiles()
,
rarefaction()
,
richness()
,
similarity()
,
simulate()
,
turnover()
## Data from Conkey 1980, Kintigh 1989
data("cantabria")
## SHE analysis
she(cantabria)
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