spmCollection-class {KCsmart}R Documentation

Sample point matrix collection

Description

A sample point matrix collection resulting from a call to calcSpmCollection

Objects from the Class

Objects can not be created by the user directly but rather through calcSpmCollection.

Slots

annotation:

The annotation (containing the chromosome and position on the chromosome) for the sample points in the 'data' slot

data:

A matrix with the kernel smoothed estimates of all samples

cl:

A class vector indicating which samples belong to which class

sampleDensity:

The sample density used to calculate the sample point matrix. ie the distance between two points in the sample point matrix, measured in base pairs.

sigma:

The sigma used for the kernel to calculate the sample point matrix.

mirrorLocs:

The mirror locations list used to calculate the sample point matrix

Methods

show

signature(object = "spmCollection"): ...

Examples

showClass("spmCollection")

[Package KCsmart version 2.44.0 Index]