Evaluate logistically initially and gausian eventually
Source:R/bln_evaluate.R
bln_evaluate_logistic_gaus_down.Rd
This function evaluates the calculated values from an indicator using a general logistic function
Arguments
- x
(numeric) The values of a calc function to be converted to an evaluation
- b
(numeric) The growth rate
- x0
(numeric) The offset of the x-axis
- v
(numeric) Affects the growth rate near the maximum
- optimum
(numeric) Point where x has approximaltly reached the optimal value
- optimum_ofset
(numeric) Multiplication factor to determine at what point gaussian evaluation should be applied
References
https://en.wikipedia.org/wiki/Generalised_logistic_function https://en.wikipedia.org/wiki/Gaussian_function
Examples
bln_evaluate_logistic_gaus_down(x = 5, b = 2, x0 = 3, v = 2.6, optimum = 1)
#> [1] 7.310252e-14
bln_evaluate_logistic_gaus_down(x = c(0.1,0.5,1.5,3.5), b = 2, x0 = 3, v = 2.6, optimum = 0.5)
#> [1] 1.073209e-01 1.457795e-01 3.865920e-03 3.647165e-33