View source: R/abd_freq_count.R
abd_freq_count | R Documentation |
Count the number of species observed the same number of times.
abd_freq_count(
abd,
level = NULL,
probability_estimator = c("Chao2015", "Chao2013", "ChaoShen", "naive"),
unveiling = c("geometric", "uniform", "none"),
richness_estimator = c("jackknife", "iChao1", "Chao1", "rarefy", "naive"),
jack_alpha = 0.05,
jack_max = 10,
coverage_estimator = c("ZhangHuang", "Chao", "Turing", "Good"),
check_arguments = TRUE
)
abd |
A numeric vector containing species abundances. |
level |
the level of interpolation or extrapolation.
It may be a sample size (an integer) or a sample coverage
(a number between 0 and 1).
If not |
probability_estimator |
a string containing one of the possible estimators of the probability distribution (see probabilities). Used only for extrapolation. |
unveiling |
a string containing one of the possible unveiling methods to estimate the probabilities of the unobserved species (see probabilities). Used only for extrapolation. |
richness_estimator |
A string containing an estimator recognized by div_richness to evaluate the total number of species in probabilities. Used only for extrapolation. |
jack_alpha |
the risk level, 5% by default, used to optimize the jackknife order. |
jack_max |
the highest jackknife order allowed. Default is 10. |
coverage_estimator |
an estimator of sample coverage used by coverage. |
check_arguments |
if |
The Abundance Frequency Count \insertCiteChao2015divent is the number of species observed each number of times. It is a way to summarize the species distribution.
It can be estimated at a specified level of interpolation or extrapolation. Extrapolation relies on the estimation of the estimation of the asymptotic distribution of the community by probabilities and eq. (5) of \insertCiteChao2014divent.
A two-column tibble. The first column contains the number of observations, the second one the number of species observed this number of times.
abd_freq_count(as.numeric(paracou_6_abd[1, ]))
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