Generate low-rank synthetic data — generate_low_rank

Cell types on an intrinsic_dim-dimensional manifold, isometrically embedded in dim ambient dimensions with a touch of noise. Types are grouped into lineages, with curved differentiation trajectories running between types of the same lineage.

Usage

generate_low_rank_data(
  n,
  dim,
  n_clusters = 25L,
  intrinsic_dim = 16L,
  seed = 42L
)

Arguments

n: Integer. Number of samples.
dim: Integer. Number of features.
n_clusters: Integer. Number of clusters.
intrinsic_dim: Integer. True dimensionality of the manifold. Must not exceed dim.
seed: Integer. Random seed.

Value

A list with:

data - Numeric matrix, n x dim.
labels - Integer vector of 1-based cluster labels.

Examples

dat <- generate_low_rank_data(1000L, 64L, intrinsic_dim = 8L)