dot-mahDist: Mahalanobis distance of droplets from a distribution.
In CRUKMI-ComputationalBiology/twoddpcr: Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules
Description
Usage
Arguments
Value
Author(s)
Description
Find the Mahalanobis distance of all droplets from a given distribution.
Usage
1
.mahDist(droplets, clusStats)
Arguments
droplets
A data frame of droplets with Ch1.Amplitude and
Ch2.Amplitude columns.
clusStats
A list of statistics for a cluster generated by
classStats. This should have a mean, cov and
cov.inv values.
Value
A vector of numbers, where each one corresponds to the distance of
that droplet from the given distribution.
Author(s)
Anthony Chiu, anthony.chiu@cruk.manchester.ac.uk
CRUKMI-ComputationalBiology/twoddpcr documentation built on Feb. 14, 2021, 9:18 p.m.
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Description Usage Arguments Value Author(s)
Description
Find the Mahalanobis distance of all droplets from a given distribution.
Usage
1 | .mahDist(droplets, clusStats)
|
Arguments
droplets |
A data frame of droplets with |
clusStats |
A list of statistics for a cluster generated by
|
Value
A vector of numbers, where each one corresponds to the distance of that droplet from the given distribution.
Author(s)
Anthony Chiu, anthony.chiu@cruk.manchester.ac.uk
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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