search for: min_thi

...0 at the top) as this is more intuitive when thinking in terms of depth. The second is electrical conductance (a surrogate for salinity), and is referenced to the right y-axis. The data and plot commands follow below. I've been trying to figure out a way to minimize the variable called "min_this" by changing the values in ylim_2 only, with one constraint: ylim_2[1]>0. I'm unsure of how to stuff the code that follows the plot commands into a loop that adjusts ylim_2 so as to minimize "min_this"? I'm guessing there is a function to do this? Thanks, Eric library...

...nding left-axis values temp.dat.mapped<-x[1,1]*temp.dat$Avg.EM.Survey.Value+x[2,1] #calculate the resids between green squares and blue circles resids<-na.omit(data.frame(Col1=temp.dat$WTD,Col2=temp.dat.mapped,SumSqrDiff=(temp.dat$WTD-temp.dat.mapped)^2)) #quantity to be minimized min_this<-sum(resids$SumSqrDiff) min_this } edm<-optim(ylim_2,f,lower=c(0,0),upper=c(100,100),method="L-BFGS-B") ylim_2<-edm$par -- View this message in context: http://r.789695.n4.nabble.com/optim-and-singularity-tp3168722p3168722.html Sent from the R help mailing list archive at Na...