generateSimData: Generate data for simulations to test the SAGMM package..
In SAGMM: Clustering via Stochastic Approximation and Gaussian Mixture Models
Description
Usage
Arguments
Value
Examples
Description
This function is primarily a convienence wrapper for MixSim.
Usage
1
generateSimData(ngroups = 5, Dimensions = 5, Number = 10^4)
Arguments
ngroups
Number of mixture components. Default 5.
Dimensions
number of Dimensions. Default 5.
Number
number of samples. Default 10^4.
Value
List of results: X, Y, simobject.
Examples
1
2
sims<-generateSimData(ngroups=10, Dimensions=10, Number=10^4)
sims<-generateSimData()
SAGMM documentation built on June 29, 2019, 9:02 a.m.
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Description Usage Arguments Value Examples
Description
This function is primarily a convienence wrapper for MixSim.
Usage
1 | generateSimData(ngroups = 5, Dimensions = 5, Number = 10^4)
|
Arguments
ngroups |
Number of mixture components. Default 5. |
Dimensions |
number of Dimensions. Default 5. |
Number |
number of samples. Default 10^4. |
Value
List of results: X, Y, simobject.
Examples
1 2 | sims<-generateSimData(ngroups=10, Dimensions=10, Number=10^4)
sims<-generateSimData()
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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