dCov estimates the linear and nonlinear selection differentials for one or more phenotypic traits, based on descriptions in Phillips and Arnold (1989). Estimations are based on phenotypic traits that have been standardized to a mean of zero and unit variance. If one phenotypic trait is input, linear and quadratic selection differentials will be output. If more than one phenotypic trait is input, correlational selection differentials will also be output.
Phenotypic trait(s). Character values are not accepted.
dCov returns a vector of numeric values.
dCov is the selection differential calculated from the covariance between the relative fitness,
w, and each phenotypic trait
z, using the approach described in Table 1 of Phillips and Arnold (1989).
Phillips PC, Arnold SJ. 1989. Visualizing multivariate selection. Evolution 43(6): 1209-1222. http://www.jstor.org/stable/2409357
Lande R, Arnold SJ. 1983. The measurement of selection on correlated characters. Evolution 37(6): 1210-1226. http://www.jstor.org/stable/2408842
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