Description Usage Arguments Value Examples
Generate simple simulations for testing of the algorithms.
1 | generateSim(NN = 10^4, DELTA = 2, DIM = 2, seed = NULL)
|
NN |
Number of observations. Default is 10^4 |
DELTA |
Separation of three groups in standard errors. Default is 2. |
DIM |
Number of dimensions in data. Default is 2. |
seed |
Random seed if desired. |
A list containing:
XX |
Coordinates of the simulated points. |
YY |
Cluster membership of the simulated points. |
YMAT |
YY and XX Combined as a single matrix. |
1 2 | #100 points of dimension 4.
generateSim(NN=100, DELTA=2, DIM=4)
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