optiDensity: Optimized version of SPADE's local density computation
In kbrulois/Dufy: A set of tools and algorithms for reducing the size of large datasets in a density-aware manner
View source: R/SPADEutilities.R
optiDensity R Documentation
Optimized version of SPADE's local density computation
Description
This function computes local density using the spade::SPADE.density function and a range of values for the kernel_mult and apprx_mult parameters. It then selects and returns the density with the greatest variance.
Usage
optiDensity(data, selection_method = c("ks.test", "variance"))
Arguments
data
A numeric matrix of data where cells correspond to rows
Value
A vector of density values corresponding to each row of data.
Author(s)
Kevin Brulois
kbrulois/Dufy documentation built on May 4, 2022, 3:54 a.m.
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View source: R/SPADEutilities.R
| optiDensity | R Documentation |
Optimized version of SPADE's local density computation
Description
This function computes local density using the spade::SPADE.density function and a range of values for the kernel_mult and apprx_mult parameters. It then selects and returns the density with the greatest variance.
Usage
optiDensity(data, selection_method = c("ks.test", "variance"))
Arguments
data |
A numeric matrix of data where cells correspond to rows |
Value
A vector of density values corresponding to each row of data.
Author(s)
Kevin Brulois
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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