X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=R%2FgenerateIOdefault.R;h=b0d748ae4e5955c54ccb4a03e6819ae92b299463;hb=c3bc47052f3ccb659659c59a82e9a99ea842398d;hp=1d5c1604aa8e8288026a8b366423afd1781fae79;hpb=493a35bfea6d1210c94ced8fbfe3e572f0389ea5;p=valse.git

diff --git a/R/generateIOdefault.R b/R/generateIOdefault.R
index 1d5c160..b0d748a 100644
--- a/R/generateIOdefault.R
+++ b/R/generateIOdefault.R
@@ -1,25 +1,29 @@
-generateIOdefault = function(n, p, m, k){
-  rangeX = 100
-  meanX = rangeX*(1-matrix(runif(k*p),ncol = p))
-  
-  covX = array(0, dim=c(p,p,k))
-  covY = array(0, dim=c(m,m,k))
-  
-  for(r in 1:k){
-    covX[,,r] = diag(p)
-    covY[,,r] = diag(m)
-  }
-  
-  pi = (1/k) * rep(1,k)
-  
-  beta = array(0, dim=c(p,m,k))
-  
-  for(j in 1:p){
-    nonZeroCount = ceiling(m * runif(1))
-    beta[j,1:nonZeroCount,] = matrix(runif(nonZeroCount*k),ncol = k)
-  }
-  
-  generate = generateIO(meanX, covX, covY, pi, beta, n)
-  
-  return(list(generate[[1]],generate[[2]]))
-}
\ No newline at end of file
+#' Generate a sample of (X,Y) of size n with default values
+#' @param n sample size
+#' @param p number of covariates
+#' @param m size of the response
+#' @param k number of clusters
+#' @return list with X and Y
+#' @export
+#-----------------------------------------------------------------------
+generateIOdefault = function(n, p, m, k)
+{
+	covX = diag(p)
+	covY = array(0, dim=c(m,m,k))
+	for(r in 1:k)
+	{
+		covY[,,r] = diag(m)
+	}
+
+	pi = rep(1./k,k)
+
+	beta = array(0, dim=c(p,m,k))
+	for(j in 1:p)
+	{
+		nonZeroCount = ceiling(m * runif(1))
+		beta[j,1:nonZeroCount,] = matrix(runif(nonZeroCount*k), ncol=k)
+	}
+
+	sample_IO = generateIO(covX, covY, pi, beta, n)
+	return (list(X=sample_IO$X,Y=sample_IO$Y))
+}