Description Usage Arguments Value Author(s) References Examples
Returns the weighting coefficient
1 | ProbitWeightingCoef(Z, Q, P, C)
|
Z |
numeric, ordinate to the normal distribution corresponding to the probability P |
Q |
numeric, 1-P |
P |
numeric, Probability P of expected probit |
C |
numeric, proportion of natural mortality |
the weighting coefficient
Jose Gama
Finney D. J., 1964 Probit analysis: a statistical treatment of the sigmoid response curve. Cambridge University Press. Formula 6.3.
1 2 3 4 5 6 7 8 9 | # Example from page 90 of Finney 1964:
# expected probit Y = 6.2, control mortality C = 59%
Y <- 6.2
C <- 0.59
P <- pnorm(Y-5)
Q <- 1-P
Z <- ProbitZ(Y)
# weighting coefficient = 0.141
ProbitWeightingCoef(Z,Q,P,C)
|
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