# elas

0th

Percentile

##### Calculate elasticity matrix

Calculate the elasticity matrix for a specified population matrix projection model using eigenvectors.

##### Usage
elas(A, eval = "max")
##### Arguments
A

a square, non-negative numeric matrix of any dimension

eval

the eigenvalue to evaluate. Default is eval="max", which evaluates the dominant eigenvalue (the eigenvalue with largest REAL value: for imprimitive or reducible matrices this may not be the first eigenvalue). Otherwise, specifying e.g. eval=2 will evaluate elasticity of the eigenvalue with second-largest modulus.

##### Details

elas uses the eigenvectors of A to calculate the elasticity matrix of the specified eigenvalue, see section 9.1 in Caswell (2001). Same method as elasticity in popbio but can also evaluate subdominant eigenvalues.

##### Value

A numeric (real or complex) matrix of equal dimension to A.

##### References

• Caswell (2001) Matrix Population Models 2nd ed. Sinauer.

Other PerturbationAnalyses: sens, tfa_inertia, tfa_lambda, tfam_inertia, tfam_lambda, tfs_inertia, tfs_lambda

• elas
##### Examples
# NOT RUN {
# Create a 3x3 PPM
( A <- matrix(c(0,1,2,0.5,0.1,0,0,0.6,0.6), byrow=TRUE, ncol=3) )

# Calculate sensitivities of dominant eigenvalue
elas(A)
# Calculate sensitivities of first subdominant eigenvalue,
# only for observed transitions
elas(A, eval=2)

# }

Documentation reproduced from package popdemo, version 1.3-0, License: GPL (>= 2)

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