CohenD | R Documentation |
Calculate Cohen's cumulative distance metric for a population matrix projection model.
CohenD(A, vector)
A |
a square, irreducible, non-negative numeric matrix of any dimension. |
vector |
a numeric vector or one-column matrix describing the age/stage distribution used to calculate the distance. |
Calculates the cumulative distance metric as outlined in Cohen (1979). Will not work for reducible matrices and returns a warning for imprimitive matrices (although will not function for imprimitive matrices with nonzero imaginary components in the dominant eigenpair).
Cohen's D1.
Cohen (1979) SIAM J. Appl. Math., 36, 169-175.
Stott et al. (2011) Ecol. Lett., 14, 959-970.
Other DistanceMeasures:
KeyfitzD()
,
projectionD()
# Create a 3x3 PPM
( A <- matrix(c(0,1,2,0.5,0.1,0,0,0.6,0.6), byrow=TRUE, ncol=3) )
# Create an initial stage structure
( initial <- c(1,3,2) )
# Calculate Cohen cumulative distance
CohenD(A, vector=initial)
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