hist2d: Calculate joint probability density matrix from weights
In larsgr/BSplineMI: Mutual information using B-Spline smoothed bins
Description
Usage
Arguments
Value
Examples
Description
Calculate joint probability density matrix from weights
Usage
1
Arguments
weights
3-dimensional array of weights with dimensions:
nBins x samples x genes as generated by calcWeights
i1
index to 1st gene
i2
index to 2nd gene
Value
Returns joint probability density matrix [bins x bins]
Examples
1
2
m <- hist2d( calcWeights( riceEx, 7, 3), 1, 2 )
image(m)
larsgr/BSplineMI documentation built on May 20, 2019, 7:57 p.m.
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Description Usage Arguments Value Examples
Description
Calculate joint probability density matrix from weights
Usage
1 |
Arguments
weights |
3-dimensional array of weights with dimensions:
nBins x samples x genes as generated by |
i1 |
index to 1st gene |
i2 |
index to 2nd gene |
Value
Returns joint probability density matrix [bins x bins]
Examples
1 2 | m <- hist2d( calcWeights( riceEx, 7, 3), 1, 2 )
image(m)
|
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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