Helps on "optimize"

Hi,

I am trying to write a r-code that maximizes fish yield, which is
summing over a total of 11 months (t=c(1:11))  for one cohort.  My code
looks like this:

t <- c(1:11)
days <- 30*t-15
yt <- 6.6*exp(log(12.3/6.6)*(days-126.3)/(189.5-126.3))
wt <- exp(log(0.250206)+2.14418*log(yt))
v0 <- 4; v1 <- 14
st <- (yt-v0)/(v1-v0); st[yt<=v0] <- 0; st[yt>=v1] <-1;
st1 <- cumsum(st)
yield <- function(F,N0,M,t,days,wt,st,st1) {
       sum(wt*N0*exp(-(t-1)*M-F*st1)*(st*F/(M+st*F))*(1-exp(-M-st*F))) }

optimize(yield,interval=c(0,3),max=T,N0=15.4185,M=0.3,t=t,days=days,wt=wt,st=st,st1=st1)

Everything is o.k. untile the last one line, which gives the following
error message.

Error in sum(wt * N0 * exp(-(t - 1) * M - F * st1) * (st * F/(M + st *
:
        Argument "t" is missing, with no default

Thanks in advance for your helps!

Cheers!
Han
Han-Lin.Lai at noaa.gov


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Hi,

I am trying to write a r-code that maximizes fish yield, which is
summing over a total of 11 months (t=c(1:11))  for one cohort.  My code
looks like this:

t <- c(1:11)
days <- 30*t-15
yt <- 6.6*exp(log(12.3/6.6)*(days-126.3)/(189.5-126.3))
wt <- exp(log(0.250206)+2.14418*log(yt))
v0 <- 4; v1 <- 14
st <- (yt-v0)/(v1-v0); st[yt<=v0] <- 0; st[yt>=v1] <-1;
st1 <- cumsum(st)
yield <- function(F,N0,M,t,days,wt,st,st1) {
       sum(wt*N0*exp(-(t-1)*M-F*st1)*(st*F/(M+st*F))*(1-exp(-M-st*F))) }

optimize(yield,interval=c(0,3),max=T,N0=15.4185,M=0.3,t=t,days=days,wt=wt,st=st,st1=st1)

Everything is o.k. untile the last one line, which gives the following
error message.

Error in sum(wt * N0 * exp(-(t - 1) * M - F * st1) * (st * F/(M + st *
:
        Argument "t" is missing, with no default

Thanks in advance for your helps!

Cheers!
Han
Han-Lin.Lai at noaa.gov