ecdf_transform: Empirical cumulative density function transformation
In vittoriofortino84/COPS: Clustering algorithms for Omics-driven Patient Stratification
View source: R/utility_functions.R
ecdf_transform R Documentation
Empirical cumulative density function transformation
Description
Estimate each feature (row) distribution using Gaussian kernels with sigma corresponding to sd.
Usage
ecdf_transform(x, parallel = 1)
Arguments
x
numerical matrix
parallel
number of threads
Value
matrix of row-wise ecdf values with dimensions matching input
vittoriofortino84/COPS documentation built on Jan. 28, 2025, 3:16 p.m.
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View source: R/utility_functions.R
| ecdf_transform | R Documentation |
Empirical cumulative density function transformation
Description
Estimate each feature (row) distribution using Gaussian kernels with sigma corresponding to sd.
Usage
ecdf_transform(x, parallel = 1)
Arguments
x |
numerical matrix |
parallel |
number of threads |
Value
matrix of row-wise ecdf values with dimensions matching input
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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