simulateBatchData {CNPBayes} | R Documentation

## Create simulated batch data for testing.

### Description

Create simulated batch data for testing.

### Usage

    simulateBatchData(N = 2500, p, theta, sds, batch, zz, df = 10)

### Arguments

`N` | number of observations
`p` | a vector indicating probability of membership to each component
`theta` | a matrix of means. Columns are components and rows are batches.
`sds` | a matrix of standard deviations. Columns are components and rows are batches.
`batch` | a vector of labels indication from which batch each simulation should come from
`zz` | a vector indicating latent variable membership. Can be omitted.
`df` | length-1 numeric vector for the t-distribution degrees of freedom

### Value

An object of class 'MultiBatchModel'

### Examples

    k <- 3
    nbatch <- 3
    means <- matrix(c(-1.2, -1.0, -0.8,
                      -0.2, 0, 0.2,
                      0.8, 1, 1.2), nbatch, k, byrow=FALSE)
    sds <- matrix(0.1, nbatch, k)
    N <- 1500
    truth <- simulateBatchData(N=N,
                               batch=rep(letters[1:3], length.out=N),
                               theta=means,
                               sds=sds,
                               p=c(1/5, 1/3, 1-1/3-1/5))

[Package CNPBayes version 1.13.5 Index]