MCentropy: Meta-Community entropy class.

Description

Methods for objects of type "MCentropy".

Usage

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is.MCentropy(x)
## S3 method for class 'MCentropy'
plot(x, ...)
## S3 method for class 'MCentropy'
summary(object, ...)

Arguments

x

An object to be tested or plotted.

object

A MCentropy object to be summarized.

...

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.

Author(s)

Eric Marcon <Eric.Marcon@ecofog.gf>


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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