## Functions:
# geomean: compute geometric mean of a time series x
# logistic: compute different logistic patterns
# pow: compute power transformation
geomean<-function(x){
##compute geometric mean of a time series x
nx=length(x)
y=prod(x)^(1/nx)
return(y)
}
logistic<-function(pattern, x, a1=100, b1=0, a2=100, b2=0){
## INPUT PARAMETERS:
## pattern: 1. simple logistic pattern
## 2. double logisitc pattern
## x = vector or scalar of indepenent variable
## a = slope parameter, default is 100 ("knife edge" for most applications)
## b = location parameter: x giving 50% probability, default is 0
## OUTPUT PARAMETERS:
## P = values of fcn at x
if (pattern==1) {
P=1/(1+exp(-a1*(x-b1)))
}
if (pattern==2) {
P_initial=(1/(1+exp(-a1*(x-b1))))*(1-(1/(1+exp(-a2*(x-b2)))))
P=P_initial/max(P_initial)
}
return(P)
}
pow<-function(x,a,b){
## INPUT PARAMETERS:
## x = vector or scalar of indepenent variable
## a = coefficient
## b = exponent
## OUTPUT PARAMETERS:
## y = values of fcn at x
y=a*x^b
return(y)
}
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