sigmaOpt: sigmaOpt
In schaugf/CREoLE: Consensus Representative Estimation of Lineage Expression
Description
Usage
Arguments
Examples
Description
sigmaOpt is a course optimization routine for gaussian kernal width selection for use in calculating diffusion map coordinates
Usage
1
Arguments
data
scaled data as an n x G data frame object
minSigma
lower bound for search space
numSteps
number of steps to take in optimizing kernal
stepSize
incremental width of search space
is.scaled
logical value indicates whether data is scaled
Examples
1
sigmaOpt()
schaugf/CREoLE documentation built on May 29, 2019, 3:26 p.m.
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Description Usage Arguments Examples
Description
sigmaOpt is a course optimization routine for gaussian kernal width selection for use in calculating diffusion map coordinates
Usage
1 |
Arguments
data |
scaled data as an n x G data frame object |
minSigma |
lower bound for search space |
numSteps |
number of steps to take in optimizing kernal |
stepSize |
incremental width of search space |
is.scaled |
logical value indicates whether data is scaled |
Examples
1 | sigmaOpt()
|
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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