Re: [R] Optim function returning always initial value for parameter to be optimized

On 02/10/2018 06:00 AM, r-help-requ...@r-project.org wrote: Did you check the gradient? I don't think so. It's zero, so of course you end up where you start. Try data.input= data.frame(state1 = (1:500), state2 = (201:700) ) err.th.scalar <- function(threshold, data){ state1 <- data$stat

Re: [R] Optim function returning always initial value for parameter to be optimized

Did you check the gradient? I don't think so. It's zero, so of course you end up where you start. Try data.input= data.frame(state1 = (1:500), state2 = (201:700) ) err.th.scalar <- function(threshold, data){ state1 <- data$state1 state2 <- data$state2 op1l <- length(state1) op2l

[R] Optim function returning always initial value for parameter to be optimized

Hello, I'm trying to fminimize the following problem: You have a data frame with 2 columns. data.input= data.frame(state1 = (1:500), state2 = (201:700) ) with data that partially overlap in terms of values. I want to minimize the assessment error of each state by using this function: err.th.