renyi
find renyiaccum
finds these statistics with accumulating sites.renyi(x, scales = c(0, 0.25, 0.5, 1, 2, 4, 8, 16, 32, 64, Inf), hill = FALSE)
## S3 method for class 'renyi':
plot(x, ...)
renyiaccum(x, scales = c(0, 0.5, 1, 2, 4, Inf), permutations = 100,
raw = FALSE, ...)
## S3 method for class 'renyiaccum':
plot(x, what = c("mean", "Qnt 0.025", "Qnt 0.975"), type = "l",
...)
FALSE
then return summary statistics of
permutations, and if TRUE
then returns the individual
permutations.type = "l"
means lines.renyi
and
xyplot
in graphical functions.renyi
returns a data frame of selected
indices. Function renyiaccum
with argument raw = FALSE
returns a three-dimensional array, where the first dimension are the
accumulated sites, second dimension are the diveristy scales, and
third dimension are the summary statistics mean
, stdev
,
min
, max
, Qnt 0.025
and Qnt 0.975
. With
argument raw = TRUE
the statistics on the third dimension are
replaced with individual permutation results.diversity
indices are special cases of
The plot
method for renyi
uses
Function renyiaccum
is similar to specaccum
but
finds scales
for random permutations of accumulated sites. Its plot
function uses xyplot
to
display the accumulation curves for each value of scales
in a
separate panel.
diversity
for diversity indices, and
specaccum
for ordinaty species accumulation curves, and
xyplot
for controlling graphics.data(BCI)
i <- sample(nrow(BCI), 12)
mod <- renyi(BCI[i,])
plot(mod)
mod <- renyiaccum(BCI[i,])
plot(mod, as.table=TRUE, col = c(1, 2, 2))
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