eds: Calculate alpha, beta and gamma parametric entropies and...

Description Usage Arguments Value See Also Examples

Description

Calculates alpha, beta and gamma parametric diversities of a data set. The matrix or data frame is automatically scaled to row sums of one. Unlike true diversities where weighting is done through the function ed, weighting for parameterized diversity is done within the MDM, or more genrelaly by using case weights.

Usage

1
eds(x, q = 1, w = 1, retq = TRUE)

Arguments

x

the input matrix or data frame.

w

weights if required.

q

the order of diversity; typically 0, 1 or 2.

retq

if TRUE then parametric diversities are returned; if FALSE the entropies for alpha and gamma are returned.

Value

a vector of entropies or diversities

See Also

dev2div, ed1, ed, eds1

Examples

1
2
3
4
5
6
7
data(spider6)
eds(spider6[,1:6])
eds(spider6[,1:6],q=0)
eds(spider6[,1:6],q=2)
eds(spider6[,1:6],retq=FALSE)
data(spider6)
eds(spider6[,1:6])


Search within the MDM package
Search all R packages, documentation and source code

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

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.