CBRMSR: CBRMSR Class

In bhioswego/CBRMSR: CBRMSR

Description

CBRMSR Class

CBRMSR Class

Details

This is a class object to store all of the results performed with the modules of this package

Public fields

predictor

the dataset of predictor variables

confounding

the dataset of confounding variables

classframe

a column of sample names and a column of their class labels

num

num is the number of folds when folding

training.sets

all of the training sets after splitting or folding

testing.sets

all of the testing sets after splitting or folding

training.labels

the classification labels for the training sets

testing.labels

the classification labels for the testing sets

training.confounding.sets

subsetted confounding data for the training sets

testing.confounding.sets

subsetted confounding data for the testing sets

selected.features

which features were selected after feature selected

feature.weights

feature weights after using BIRF

balanced

a boolean value of whether or not class balancing was applied

balanced.training.labels

the classification labels of the training set after balancing

balanced.training.sets

the training datsets after balancing

training.confounding.distances

the distance matrices of the training confounding data

testing.confounding.distances

the distance matrices of the testing confounding data

training.predictor.distances

the distance matrices of the training predictor data

testing.predictor.distances

the distance matrices of the testing predictor data

training.confusion.matrices

confusion matrices for the training sets

training.predicted.labels

predicted classification labels for the training data

testing.confusion.matrices

confusion matrices for the testing sets

testing.predicted.labels

predicted classification labels for the testing data

retrieved.samples

Which samples were retrieved during testing

Methods

Public methods

• CBRMSR$new()

• CBRMSR$clone()

---

Method new()

Create a new CBRMSR object.

Usage

CBRMSR$new(predictor, confounding, classframe)

Arguments

predictor

A dataframe of predictor variables

confounding

A dataframe of confounding variables

classframe

A 2 column dataframe of sample names and classification labels

Returns

A new 'CBRMSR' object.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

CBRMSR$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

bhioswego/CBRMSR documentation built on Dec. 6, 2020, 3:16 p.m.