R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 5 of 5 found.
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KernSur (Package: GenKern) : Bivariate kernel density estimation

Compute bivariate kernel density estimate using five parameter Gaussian kernels which can also use non equally spaced and adaptive bandwidths

● Data Source: CranContrib
● Keywords: distribution, smooth
● Alias: KernSur
● 3 images

nearest (Package: GenKern) : Index of a vector nearest in value to a supplied value

Returns the index of a vector which contains the value closest to an arbitary value

● Data Source: CranContrib
● Keywords: arith
● Alias: nearest
● 0 images

KernSec (Package: GenKern) : Univariate kernel density estimate

Computes univariate kernel density estimate using Gaussian kernels which can also use non-equally spaced ordinates and adaptive bandwidths and local bandwidths

● Data Source: CranContrib
● Keywords: distribution, smooth
● Alias: KernSec
● 4 images

GenKern.internal (Package: GenKern) : GenKern internal functions

This is an internal function and it should not be used directly.

● Data Source: CranContrib
● Keywords: internal
● Alias: bandwidthselect, correlationselect, getlims, rangeselect
● 0 images

per (Package: GenKern) : Locate value for ith percentage point in a binned distribution

Calculates the value for the ith point in a binned distribution

● Data Source: CranContrib
● Keywords: nonparametric
● Alias: per
● 1 images