ExprsArray-class: An S4 class to store feature and annotation data

In tpq/exprso: Rapid Deployment of Machine Learning Algorithms

Description

An S4 class to store feature and annotation data

Usage

## S4 method for signature 'ExprsArray'
show(object)

## S4 method for signature 'ExprsArray,ANY,ANY,ANY'
x[i, j]

## S4 method for signature 'ExprsArray'
x$name

## S4 method for signature 'ExprsArray'
subset(x, subset, select)

## S4 method for signature 'ExprsArray,missing'
plot(x, y, a = 1, b = 2, c = 3, ...)

## S4 method for signature 'ExprsArray'
summary(object)

## S4 method for signature 'ExprsArray'
getFeatures(object)

Arguments

object, x	An object of class ExprsArray.
i, j	Subsets entire ExprsArray object via object@annot[i, j]. Returns object@annot[, j] if argument i is missing.
name	Returns object@annot[, name].
subset	Subsets entire ExprsArray object via object@annot[subset, ]. Can be used to rearrange subject order.
select	Subsets entire ExprsArray object via object@annot[, select]. Can be used to rearrange label order.
y	Leave missing. Argument exists because of plot generic definition.
a, b, c	A numeric scalar. Indexes the first, second, and third dimensions to plot. Set c = 0 to plot two dimensions.
...	Additional arguments passed toplot or lattice::cloud.

Methods (by generic)

• show: Method to show ExprsArray object.

• [: Method to subset ExprsArray object.

• $: Method to subset ExprsArray object.

• subset: Method to subset ExprsArray object.

• plot: Method to plot two or three dimensions of data.

• summary: Method to plot summary graphs for a sub-sample of feature data.

• getFeatures: Method to return features within an ExprsArray object.

Slots

exprs

A matrix. Stores the feature data.

annot

A data.frame. Stores the annotation data.

preFilter

Typically a list. Stores feature selection history.

reductionModel

Typically a list. Stores dimension reduction history.

See Also

ExprsArray-class
ExprsModel-class
ExprsPipeline-class
ExprsEnsemble-class
ExprsPredict-class
MultiPredict-class
RegrsPredict-class

tpq/exprso documentation built on July 27, 2019, 8:44 a.m.