flooring: Apply flooring and SD adjustment to negative scores
In jweile/tileseqMave: TileSeq MAVE Analysis pipeline
flooring R Documentation
Apply flooring and SD adjustment to negative scores
Description
This assumes that no cell can be "deader than dead", and that negative scores are just due to
measurement error. From this follows that the more negative the score, the more certain we
can be that the cell is dead. We can therefore adjust the SD to reflect this, by setting
the score to zero and shifting the SD such that the implied probability of being above 0
remains the same.
Usage
flooring(msc, params)
Arguments
msc
the score matrix
params
the global parameter object
Value
a matrix containing the floored scores and SDs
jweile/tileseqMave documentation built on April 5, 2024, 4:51 p.m.
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| flooring | R Documentation |
Apply flooring and SD adjustment to negative scores
Description
This assumes that no cell can be "deader than dead", and that negative scores are just due to measurement error. From this follows that the more negative the score, the more certain we can be that the cell is dead. We can therefore adjust the SD to reflect this, by setting the score to zero and shifting the SD such that the implied probability of being above 0 remains the same.
Usage
flooring(msc, params)
Arguments
msc |
the score matrix |
params |
the global parameter object |
Value
a matrix containing the floored scores and SDs
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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