getMaximalVarianceFilter: Filter Highest Variance Components of Power Spectra for...
In mathornton01/Genomic-DFT-Yin-R: Fourier Analysis for Genomic Signals
Description
Usage
Arguments
Value
Examples
Description
This function will generate a filter for an ensemble of strings that when
multiplied by the power spectra for a sample will push all components with
variance (across the ensemble) below the first 'numCoeffs' to zero.
Usage
1
getMaximalVarianceFilter(scaledPowerSpectraEnsemble, numCoeffs)
Arguments
scaledPowerSpectraEnsemble
a list containing the scaled power spectra for
an ensemble of strings such as that returned by the function evenlyScaleEnsemble.
numCoeffs
The number of coefficients that the user wishes to use for the
distance calculation, this pushes all others to zero.
Value
a vector of the same length as the input scaled signal length which
contains ones in the positions where coefficients have a high across ensemble
variance, and zero for those below the desired number of ooefficients.
Examples
1
2
3
4
en <- encodeGenomes(sarscvmay[1:5,]);
ps <- getPowerSpectraEnsemble(en);
sps <- evenlyScaleEnsemble(ps);
fil <- getMaximalVarianceFilter(sps,100);
mathornton01/Genomic-DFT-Yin-R documentation built on Dec. 21, 2021, 2:52 p.m.
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Description Usage Arguments Value Examples
Description
This function will generate a filter for an ensemble of strings that when multiplied by the power spectra for a sample will push all components with variance (across the ensemble) below the first 'numCoeffs' to zero.
Usage
1 | getMaximalVarianceFilter(scaledPowerSpectraEnsemble, numCoeffs)
|
Arguments
scaledPowerSpectraEnsemble |
a list containing the scaled power spectra for an ensemble of strings such as that returned by the function evenlyScaleEnsemble. |
numCoeffs |
The number of coefficients that the user wishes to use for the distance calculation, this pushes all others to zero. |
Value
a vector of the same length as the input scaled signal length which contains ones in the positions where coefficients have a high across ensemble variance, and zero for those below the desired number of ooefficients.
Examples
1 2 3 4 | en <- encodeGenomes(sarscvmay[1:5,]);
ps <- getPowerSpectraEnsemble(en);
sps <- evenlyScaleEnsemble(ps);
fil <- getMaximalVarianceFilter(sps,100);
|
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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