AggregationSummary: AggregationSummary

In Open-Systems-Pharmacology/TLF-Library: TLF Library

AggregationSummary

Description

R6 class to split a data.frame data into subsets defined by unique combinations of elements in the columns xColumnNames and groupingColumnNames. Applies functions defined in aggregationFunctionsVector to column yColumnNames. Returns a list of data.frame, one data.frame for each function listed in aggregationFunctionsVector. Each data.frame in list element is named after the function's corresponding string in aggregationFunctionNames. The summary statistic column name in each data.frame is the same as the name of the data.frame in the returned list.

Public fields

data

data.frame

metaData

list of information on data

xColumnNames

character names of grouping variables

groupingColumnNames

character names of grouping variables

yColumnNames

character names of dependent variables (that are grouped)

aggregationInputsVector

list of R6 class AggregationInput objects

aggregationFunctionsVector

list of functions to use for aggregation

aggregationFunctionNames

vector of function names that will be used as variable name of the aggregation

aggregationUnitsVector

character vector of units of aggregation output

aggregationDimensionsVector

character vector of dimensions of aggregation output

dfHelper

data.frame of aggregated values

metaDataHelper

list of information on dfHelper

Methods

Public methods

• AggregationSummary$new()

• AggregationSummary$applyAggregationFunctions()

• AggregationSummary$generateAggregatedValues()

• AggregationSummary$clone()

---

Method new()

Create a new AggregationSummary object

Usage

AggregationSummary$new(
  data,
  metaData = NULL,
  xColumnNames = NULL,
  groupingColumnNames = NULL,
  yColumnNames = NULL,
  aggregationInputsVector = NULL,
  aggregationFunctionsVector = NULL,
  aggregationFunctionNames = NULL,
  aggregationUnitsVector = NULL,
  aggregationDimensionsVector = NULL
)

Arguments

data

data.frame

metaData

list of information on data

xColumnNames

character names of grouping variables

groupingColumnNames

character names of grouping variables

yColumnNames

character names of dependent variables (that are grouped)

aggregationInputsVector

list of R6 class AggregationInput objects

aggregationFunctionsVector

list of functions to use for aggregation

aggregationFunctionNames

vector of function names that will be used as variable name of the aggregation

aggregationUnitsVector

character vector of units of aggregation output

aggregationDimensionsVector

character vector of dimensions of aggregation output

Returns

A new AggregationSummary object

---

Method applyAggregationFunctions()

Apply aggregation functions on x

Usage

AggregationSummary$applyAggregationFunctions(x)

Arguments

x

numeric vector

Returns

A list or vector of aggregated values

---

Method generateAggregatedValues()

Generate aggregated values

Usage

AggregationSummary$generateAggregatedValues()

Returns

A list or vector of aggregated values

---

Method clone()

The objects of this class are cloneable with this method.

Usage

AggregationSummary$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Open-Systems-Pharmacology/TLF-Library documentation built on Feb. 8, 2025, 11:22 a.m.