Data: Abstract class Data

In fuseMLR: Fusing Machine Learning in R

Abstract class Data

Description

As abstract, a Data object cannot be stored on any layer. Instead, extended TrainData or TestData objects can be stored on a layer.

Methods

Public methods

• Data$new()

• Data$print()

• Data$getIndSubset()

• Data$impute()

• Data$getVarSubset()

• Data$getSetDiff()

• Data$getDataFrame()

• Data$setDataFrame()

• Data$getCompleteData()

• Data$getId()

• Data$getData()

• Data$getIndCol()

• Data$clone()

---

Method new()

Constructor of class Data.

Usage

Data$new(id, ind_col, data_frame)

Arguments

id

character
Object ID.

ind_col

character
Column name containing individual IDs.

data_frame

data.frame
data.frame containing data.

---

Method print()

Printer

Usage

Data$print(...)

Arguments

...

any

---

Method getIndSubset()

Retrieve a data subset for a given variable name and values, a data subset.

Usage

Data$getIndSubset(var_name, value)

Arguments

var_name

character
Variable name of interest.

value

vector
Values of interest.

Returns

The data subset is returned.

---

Method impute()

Imputes missing values in modality-specific predictions. Only mode and median based imputations are actually supported.

Usage

Data$impute(impute_fct, impute_param, target_name)

Arguments

impute_fct

character
An imputation function to use instead of median or mode imputation. Not yet implemented!

impute_param

list

target_name

character
Name of the target variable. The list of parameters to call the imputation function.

Returns

A new object with the predicted values is returned.

---

Method getVarSubset()

Retrieve a subset of variables from data.

Usage

Data$getVarSubset(var_name)

Arguments

var_name

character
Variable names of interest.

Returns

The data subset is returned.

---

Method getSetDiff()

For the given variable name, non existing values in the current dataset are returned.

Usage

Data$getSetDiff(var_name, value)

Arguments

var_name

character
Variable name of interest.

value

vector
Values of interest.

Returns

The subset difference is returned.

---

Method getDataFrame()

Getter of the data.frame.

Usage

Data$getDataFrame()

Returns

The data.frame of the current object is returned.

---

Method setDataFrame()

Set a new data.frame to the current object.

Usage

Data$setDataFrame(data_frame)

Arguments

data_frame

data.frame

Returns

The current object is returned.

---

Method getCompleteData()

Getter of the complete dataset without missing values.

Usage

Data$getCompleteData()

Returns

The complete dataset is returned.

---

Method getId()

Getter of the current object ID.

Usage

Data$getId()

Returns

The current object ID is returned.

---

Method getData()

Getter of the current Data. This function is re-implemented by TrainData and TestData.

Usage

Data$getData()

Returns

Do not use on this class.

---

Method getIndCol()

Getter of the individual column variable.

Usage

Data$getIndCol()

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Data$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

TrainData and TestData

fuseMLR documentation built on April 3, 2025, 8:49 p.m.