gen_DM_attributes: gen_DM_attributes

In AntoineDubois/sdcv2: RUM design Simulator

gen_DM_attributes

Description

The method of the Experiment class which generates some decision makers' attributes

Arguments

law	The name of the distribution generating the attributes
which	The number of the columns which should be generated
nb_levels	The vector of number of levels of the attributes designated in argument which
group	The group to generate values. By default, every groups are concerned by the generation.
observation	The observation function. Takes a formula as argument.

Examples

DM_att_names <- list("X1", "X2", "X3")
AT_att_names <- list("Z1", "Z2", "Z3")
AT_names <- list("good1", "good2")
groups <- c(10, 20)
FD <- Experiment(DM_att_names=DM_att_names, AT_att_names=AT_att_names, AT_names=AT_names,groups=groups)
FD$gen_DM_attributes("discrete_uniform", a=0, b=1, which="X1")
FD$gen_DM_attributes("normal", which=c("X2", "X3"), group=1)
FD$gen_DM_attributes("normal", mu=1, sd=2, which=c("X2","X3"), group=2)
FD$X

AntoineDubois/sdcv2 documentation built on May 16, 2024, 3:23 p.m.