modeCenter: Center continuous data on mode
In genoset: A RangedSummarizedExperiment with methods for copy number analysis
Description
Usage
Arguments
Value
Examples
Description
Copynumber data distributions are generally multi-modal. It is often assumed that
the tallest peak represents 'normal' and should therefore be centered on a
log2ratio of zero. This function uses the density function to find the mode of
the dominant peak and subtracts that value from the input data.
Usage
1
modeCenter(ds)
Arguments
ds
numeric matrix
Value
numeric matrix
Examples
1
modeCenter( matrix( rnorm(150, mean=0), ncol=3 ))
genoset documentation built on Nov. 8, 2020, 6:07 p.m.
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Description Usage Arguments Value Examples
Description
Copynumber data distributions are generally multi-modal. It is often assumed that the tallest peak represents 'normal' and should therefore be centered on a log2ratio of zero. This function uses the density function to find the mode of the dominant peak and subtracts that value from the input data.
Usage
1 | modeCenter(ds)
|
Arguments
ds |
numeric matrix |
Value
numeric matrix
Examples
1 | modeCenter( matrix( rnorm(150, mean=0), ncol=3 ))
|
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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