MCentropy: Meta-Community entropy class.

In entropart: Entropy Partitioning to Measure Diversity

Meta-Community entropy class.

Description

Methods for objects of type "MCentropy".

Usage

is.MCentropy(x)
## S3 method for class 'MCentropy'
plot(x, ...)
## S3 method for class 'MCentropy'
autoplot(object, col = ggplot2::GeomCol$default_aes$fill,
          border = ggplot2::GeomCol$default_aes$colour, ...)
## S3 method for class 'MCentropy'
summary(object, ...)

Arguments

x	An object to be tested or plotted.
object	A MCentropy object to be summarized or plotted.
col	The color used to fill the bars. See "Color Specification" in par.
border	The color of the borders around the bars. See hist.
...	Additional arguments to be passed to the generic methods.

Value

Meta-community entropy objects are lists containing:

MetaCommunity	The name of the MetaCommunity object containing inventory data.
Method	The method used to calculate entropy ("HCDT", "Similarity-based").
Type	The type of entropy ("alpha", "beta" or "gamma").
Order	The order of entropy q.
Correction	The estimation bias correction used to calculate entropy.
Tree	The phylogenetic or functional tree used to calculate phyloentropy.
Normalized	Logical. Indicates whether phyloentropy is normalized or proportional to the height of the tree.
Z	The matrix used to calculate similarity-based entropy.
Weights	A vector containing the weights of communities.
Communities	A vector containing the entropy of communities.
Total	The total entropy.

is.MCentropy returns TRUE if the object is of class MCentropy.

summary.MCentropy returns a summary of the object's value.

entropart documentation built on Sept. 11, 2024, 6:20 p.m.