generate.proportion.data.set: generate.proportion.data.set: Generate a data set with...
In genome/bmm: Variational Bayesian approach to fitting mixtures of beta, binomial, or Gaussian distributions
generate.proportion.data.set R Documentation
generate.proportion.data.set: Generate a data set with clusters of
Beta-derived proportions
Description
Generate N.c clusters of proportions, where each dimension is
independently generated by a beta distribution.
Usage
generate.proportion.data.set(N.c, N, D)
Arguments
N.c
the number of clusters
N
the total number of points (which will roughly proportionally
allocated across the N.c clusters)
D
the number of dimensions of the data set
Value
an N x D matrix of proportions
genome/bmm documentation built on Aug. 4, 2022, 8:01 a.m.
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| generate.proportion.data.set | R Documentation |
generate.proportion.data.set: Generate a data set with clusters of Beta-derived proportions
Description
Generate N.c clusters of proportions, where each dimension is independently generated by a beta distribution.
Usage
generate.proportion.data.set(N.c, N, D)
Arguments
N.c |
the number of clusters |
N |
the total number of points (which will roughly proportionally allocated across the N.c clusters) |
D |
the number of dimensions of the data set |
Value
an N x D matrix of proportions
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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