abn (version 0.82)

ex0.dag.data: Synthetic validation data set for use with abn library examples

Description

300 observations simulated from a DAG with 10 binary variables, 10 gaussian variables and 10 poisson variables.

Usage

ex0.dag.data

Examples

## This data set was generated using the following code:
 datasize<-300;
tmp<-c(rep("y",as.integer(datasize/2)),rep("n",as.integer(datasize/2)));
set.seed(1);

ex0.dag.data<-data.frame(b1=sample(tmp,size=datasize,replace=TRUE),
                b2=sample(tmp,size=datasize,replace=TRUE),
                b3=sample(tmp,size=datasize,replace=TRUE),
                b4=sample(tmp,size=datasize,replace=TRUE),
                b5=sample(tmp,size=datasize,replace=TRUE),
                b6=sample(tmp,size=datasize,replace=TRUE),
                b7=sample(tmp,size=datasize,replace=TRUE),
                b8=sample(tmp,size=datasize,replace=TRUE),
                b9=sample(tmp,size=datasize,replace=TRUE),
                b10=sample(tmp,size=datasize,replace=TRUE),
                g1=rnorm(datasize,mean=0,sd=1),
                g2=rnorm(datasize,mean=0,sd=1),
                g3=rnorm(datasize,mean=0,sd=1),
                g4=rnorm(datasize,mean=0,sd=1),
                g5=rnorm(datasize,mean=0,sd=1),
                g6=rnorm(datasize,mean=0,sd=1),
                g7=rnorm(datasize,mean=0,sd=1),
                g8=rnorm(datasize,mean=0,sd=1),
                g9=rnorm(datasize,mean=0,sd=1),
                g10=rnorm(datasize,mean=0,sd=1),
                p1=rpois(datasize,lambda=10),
                p2=rpois(datasize,lambda=10),
                p3=rpois(datasize,lambda=10),
                p4=rpois(datasize,lambda=10),
                p5=rpois(datasize,lambda=10),
                p6=rpois(datasize,lambda=10),
                p7=rpois(datasize,lambda=10),
                p8=rpois(datasize,lambda=10),
                p9=rpois(datasize,lambda=10),
                p10=rpois(datasize,lambda=10)
                );