ReconstructedCountSet: Class containing functions and data to map CountSets to...

In retistruct: Retinal Reconstruction Program

Description

A ReconstructedCountSet contains information about features located on ReconstructedOutlines. Each ReconstructedCountSet contains a list of matrices, each of which has columns labelled phi (latitude) and lambda (longitude) describing the spherical coordinates of points on the ReconstructedOutline, and a column C representing the counts at these points.

Super classes

retistruct::FeatureSetCommon -> retistruct::ReconstructedFeatureSet -> ReconstructedCountSet

Public fields

KR

Kernel regression

Methods

Public methods

• ReconstructedCountSet$new()

• ReconstructedCountSet$getKR()

• ReconstructedCountSet$clone()

Inherited methods

• retistruct::FeatureSetCommon$getCol()

• retistruct::FeatureSetCommon$getFeature()

• retistruct::FeatureSetCommon$getFeatures()

• retistruct::FeatureSetCommon$getIDs()

• retistruct::FeatureSetCommon$getIndex()

• retistruct::FeatureSetCommon$setID()

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Method new()

Constructor

Usage

ReconstructedCountSet$new(fs = NULL, ro = NULL)

Arguments

fs

FeatureSet to reconstruct

ro

ReconstructedOutline to which feature set should be mapped

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Method getKR()

Get kernel regression estimate of grouped data points

Usage

ReconstructedCountSet$getKR()

Returns

Kernel regression computed using compute.kernel.estimate

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Method clone()

The objects of this class are cloneable with this method.

Usage

ReconstructedCountSet$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Author(s)

David Sterratt

retistruct documentation built on April 4, 2020, 5:08 p.m.