generateGaussianDataset: Generate Gaussian dataset

In stcolema/mdiHelpR: Helper Functions for Analysis of Sampling-Based Clustering Methods

Generate Gaussian dataset

Description

Generate a dataset based upon a mixture of Gaussian distributions (with independent features).

Usage

generateGaussianDataset(
  cluster_means,
  std_dev,
  n,
  p,
  pi,
  row_names = paste0("Person_", 1:n),
  col_names = paste0("Gene_", 1:p)
)

Arguments

cluster_means	A k-vector of cluster means defining the k clusters.
n	The number of samples to generate in the entire dataset.
p	The number of columns to generate in the dataset.
pi	A k-vector of the expected proportion of points to be drawn from each distribution.
row_names	The row names of the generated dataset.
col_names	The column names of the generated dataset.

stcolema/mdiHelpR documentation built on July 28, 2024, 5:41 a.m.