sim_all.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/sim_all.R
\name{sim_all}
\alias{sim_all}
\title{Is a wrapper for sim_choice executing the simulation over all designs stored in a specific folder
update}
\usage{
sim_all(
  nosim = 2,
  resps,
  destype = NULL,
  designpath,
  u,
  bcoeff,
  decisiongroups = c(0, 1),
  manipulations = list(),
  estimate = TRUE,
  chunks = 1
)
}
\arguments{
\item{nosim}{Number of runs or simulations. For testing use 2 but once you go serious, use at least 200, for better results use 2000.}

\item{resps}{Number of respondents you want to simulate}

\item{designpath}{The path to the folder where the designs are stored. For example "c:/myfancydec/Designs"}

\item{u}{A list with utility functions. The list can incorporate as many decision rule groups as you want. However, each group must be in a list in this list. If you just use one group (the normal),  this  group still  has to be in a list in  the u list. As a convention name beta coefficients starting with a lower case "b"}

\item{bcoeff}{List of initial coefficients for the utility function. List content/length can vary based on application, but should all begin with b and be the same as those entered in the utility functions}

\item{decisiongroups}{A vector showing how decision groups are numerically distributed}

\item{manipulations}{A variable to alter terms of the utility functions examples may be applying a factor or applying changes to terms selectively for different groups}

\item{estimate}{If TRUE models will be estimated. If false only a dataset will be simulated. Default is true}

\item{chunks}{The number of chunks determines how often results should be stored on disk as a safety measure to not loose simulations if models have already been estimated. For example, if no_sim is 100 and chunks = 2, the data will be saved on disk after 50 and after 100 runs.}
}
\value{
A list, with all information on the simulation. This list an be easily processed by the user and in the rmarkdown template.
}
\description{
Is a wrapper for sim_choice executing the simulation over all designs stored in a specific folder
update
}
\examples{

 designpath<- system.file("extdata","Rbook" ,package = "simulateDCE")
 resps =240  # number of respondents
 nosim=2 # number of simulations to run (about 500 is minimum)


 bcoeff <-list(bsq=0.00,
     bredkite=-0.05,
     bdistance=0.50,
     bcost=-0.05,
     bfarm2=0.25,
     bfarm3=0.50,
     bheight2=0.25,
     bheight3=0.50)

}