R/generateIOdefault.R

   1 #' Generate a sample of (X,Y) of size n with default values
   2 #' @param n sample size
   3 #' @param p number of covariates
   4 #' @param m size of the response
   5 #' @param k number of clusters
   6 #' @return list with X and Y
   7 #' @export
   8 #-----------------------------------------------------------------------
   9 generateIOdefault = function(n, p, m, k)
  10 {
  11     covX = diag(p)
  12     covY = array(0, dim=c(m,m,k))
  13     for(r in 1:k)
  14     {
  15         covY[,,r] = diag(m)
  16     }
  17
  18     pi = rep(1./k,k)
  19
  20     beta = array(0, dim=c(p,m,k))
  21     for(j in 1:p)
  22     {
  23         nonZeroCount = ceiling(m * runif(1))
  24         beta[j,1:nonZeroCount,] = matrix(runif(nonZeroCount*k), ncol=k)
  25     }
  26
  27     sample_IO = generateIO(covX, covY, pi, beta, n)
  28     return (list(X=sample_IO$X,Y=sample_IO$Y))
  29 }