simoff {dvqcc}

simulating dataset (Offline settings)

Description

Function to simulate datasets based on the VAR(1) model (without intercept). The dataset include in control batches and new batches for offline monitoring

Usage

simoff(
  n = 100,
  I = 100,
  size = 2,
  Inew = 10,
  B1 = matrix(c(-0.3, 0.4, 0.4, 0.5), ncol = size, byrow = TRUE),
  varcov = diag(2),
  B1new = matrix(c(-0.3, 0.4, 0.4, 0.5), ncol = size, byrow = TRUE)
)

Arguments

n

number of time-instants

I

number of in control batch samples

size

number of variables

Inew

number of new batch samples for monitoring

B1

matrix (size x size) containing the VAR(1) coefficients of in control batches

varcov

covariance matrix (size x size) of errors

B1new

matrix (size x size) containing the VAR(1) coefficients of new batches

Value

data A dataframe of reference dataset of I in control batches. For each batch, variables are arranged in lines and columns are time-instants. The different batches are combined in a single dataset of dimension [(I * size) X n]

newdata A dataframe including a dataset of Inew new batches for monitoring (each with same number of variables and time-instants of data). The different batches are combined in a single dataset of dimension [(Inew * size) X n]

See Also

offlinem, simon, onlinem

Examples

# Example 1: Two variables (A default in control simulating dataset)


    mydata=simoff()


# Example 2: Three variables and Inew=50 out of control batches

    B1=matrix(c(-0.3,0,0.4,0,0.2,0,0,-0.1,0.5),3,byrow=TRUE)
    B1new=matrix(c(0.1,0,0.4,0,0.2,0,0,-0.1,0.5),3,byrow=TRUE)
    mydata1=simoff(n=100,I=100,size=3,Inew=50,B1,varcov=diag(3),B1new)


# Example 3: Three variables and Inew=1 new out of control batch

    B1=matrix(c(-0.3,0,0.4,0,0.2,0,0,-0.1,0.5),3,byrow=TRUE)
    B1new=matrix(c(0.1,0,0.4,0,0.2,0,0,-0.1,0.5),3,byrow=TRUE)
    mydata2=simoff(n=100,I=100,size=3,Inew=1,B1,varcov=diag(3),B1new)
    plot.ts(t(mydata2$data[1:3,]),main="One in control batch sample")
    plot.ts(t(mydata2$newdata),main="One new batch sample")