| mat {BiCausality} | R Documentation |
A simulation dataset
Description
A dataset containing simulated data that is used for examples in the package.
The matrix mat is generated by the following code.
seedN<-2022
n<-200 # 200 individuals
d<-10 # 10 variables
mat<-matrix(nrow=n,ncol=d) # the input of framework
#Simulate binary data from Bernoulli distribution distribution where the probability of value being 1 is 0.5.
for(i in seq(n))
{ set.seed(seedN+i)
mat[i,] <- rbinom(n=d, size=1, prob=0.5) }
mat[,1]<-mat[,2] | mat[,3] # 1 causes by 2 and 3
mat[,4] <-mat[,2] | mat[,5] # 4 causes by 2 and 5
mat[,6] <- mat[,1] | mat[,4] # 6 causes by 1 and 4
Usage
mat
Format
A matrix with 200 samples and 10 dimensions generated from Bernoulli distribution.
- mat
It is a 200 by 10 matrix where n is a number of transactions or samples and d is a number of dimensions.
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