Nothing
#' A basic Monte Carlo Designer
#' @param factors a vector of factors names
#' @param distribNames the name of a probability distribution or a vector of such names
#' @param distribParameters a list of lists of distribution parameters
#' @param size the required sample size
#' @param ...
#' @value a named list consisting of a design data.frame (main) and a list of information parameters (information)
#' @note this function uses the Quantiles function defined in the mtk package (file mtkCommonFunctions.R)
#' @examples
#' MC <- basicMonteCarlo(LETTERS[1:4])
basicMonteCarlo <- function(factors, distribNames="unif", distribParameters=list(min=0,max=1), size, ...){
## PRELIMINARIES
## number of factors and their distributions
nbf <- length(factors)
if(length(distribNames) == 1){
distribNames <- rep(distribNames, nbf)
distribParameters <- rep(list(distribParameters), nbf)
}
## MAIN CALCULATIONS
N <- size*nbf
design <- matrix(runif(N), nrow=size, ncol=nbf)
## quantile calculations
for(i in seq(nbf)){
design[,i] <- Quantiles(design[,i], distribNames[i], distribParameters[[i]])
}
colnames(design) <- factors
## OUTPUT
information <- list(SamplingMethod="Basic Monte Carlo")
resultat <- list(main=as.data.frame(design), information=information)
return(resultat)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.