[R] LHS random number generator

[Rob C]

Shah,

I am the maintainer of the lhs package.  Please feel free to contact
package maintainers directly for help specific to their package.

If I understood your request, this is how I would construct the lhs...

prior_lhs <- data.frame(
  name = c("r_mu", "r_sd", "lmp", "gr_mu", "gr_sd", "alpha1",
"alpha2", "alpha3", "beta"),
  lower = c(0.00299, 0.001, 0.40, 0.14, 0.01, 0.0001, 0.0017, 0.005, 0.69),
  upper = c(0.00320, 0.002, 0.43, 0.16, 0.20, 0.0018, 0.0028, 0.009, 0.75),
  place = c(100000, 1000, 100, 100, 100, 10000, 10000, 1000, 100)
)
require(lhs)
nb_simul <- 10000
nparam <- nrow(prior_lhs)
random_tab <- randomLHS(nb_simul, nparam)
X <- random_tab
for (i in 1:nparam)
{
  X[,i] <- floor(qunif(random_tab[,i],
  prior_lhs$lower[i]*prior_lhs$place[i],
  prior_lhs$upper[i]*prior_lhs$place[i] + 1)) / prior_lhs$place[i]
}
apply(X, 2, range)


> On Apr 12, 2021, at 08:21, Shah Alam <dr.alamsolangi using gmail.com> wrote:
>
> Hello everyone,
>
> I am using the LHS package to generate a combination of a
> set of parameter values. However, I am not sure how to fix some parameter
> values to 2 decimal points.
> For example:
>
> I want to make combinations in such a way that values for parameter
> c("lmp", 0.40, 0.43) are taken as 0.40, 0.41, 0.42,0.43.
>
> My codes are:
>
> prior_lhs <- list(c("r_mu", 0.00299, 0.0032),
>                  c("r_sd", 0.001, 0.002),
>                  c("lmp", 0.40, 0.43),
>                  c("gr_mu", 0.14, 0.16),
>                  c("gr_sd", 0.01, 0.020),
>                  c("alpha1", 0.0001, 0.0018),
>                  c("alpha2", 0.0017, 0.0028),
>                  c("alpha3", 0.005, 0.009),
>                  c("beta", 0.69, 0.75)
> )
>
>
> ### Simulation with priors from LHS ####
> nb_simul <- 10000
> nparam <- length(prior_lhs)
> random_tab = randomLHS(nb_simul, nparam)
> lhs_index = 1
> param <- matrix(rep(0, nparam), nrow = 1, ncol = nparam)
>
> for (i in 1:nb_simul) {
>  temp_par <- matrix(rep(0, nparam), nrow = 1, ncol = nparam)
>  for (j in 1:nparam) {
>    temp_par[j] = as.numeric(prior_lhs[[j]][2]) +
>      (as.numeric(prior_lhs[[j]][3]) - as.numeric(prior_lhs[[j]][2])) *
> random_tab[lhs_index, j]
>  }
>  param <- rbind(param, temp_par)
>  lhs_index <- lhs_index+1
> }
> param <- param[-1,]
>
> Best regards,
> Shah
>
>       [[alternative HTML version deleted]]
>
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