pgu.missingsCharacterizer: pgu.missingsCharacterizer
In pguIMP: 'pguIMP'
Description
Format
Details
Active bindings
Methods
Author(s)
Description
A class that characterizes the origin of missing values.
Format
R6::R6Class object.
Details
A class that characterizes the origin of missing values.
This object is used by the shiny based gui and is not for use in individual R-scripts!
Active bindings
featureAlphabetReturns the instance variable featureAlphabet.
(character)
featureAgentReturns the instance variable featureAgent.
(character)
setFeatureAgentSets the instance variable featureAgent.
(character)
missingsCharacteristics_dfReturns the instance variable missingsCharacteristics_df.
(tibble::tibble)
Methods
Public methods
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Method new()
Creates and returns a new pgu.missingsCharacterizer object.
Usage
pgu.missingsCharacterizer$new(data_df = "tbl_df")
Arguments
data_dfThe data to be analyzed.
(tibble::tibble)
Returns
A new pgu.missingsCharacterizer object.
(pguIMP::pgu.missingsCharacterizer)
Method finalize()
Clears the heap and
indicates if instance of pgu.missingsCharacterizer is removed from heap.
Usage
pgu.missingsCharacterizer$finalize()
Method print()
Prints instance variables of a pgu.missingsCharacterizer object.
Usage
pgu.missingsCharacterizer$print()
Returns
string
Method reset()
Takes a dataframe that will be analyzed using the analyze function
and resets the instance variables.
Usage
pgu.missingsCharacterizer$reset(data_df = "tbl_df")
Arguments
data_dfThe data to be analyzed.
(tibble::tibble)
Method analyze()
resets the instance variables and analyzes a dataframe.
Usage
pgu.missingsCharacterizer$analyze(data_df = "tbl_df", progress = "Progress")
Arguments
data_dfThe data to be analyzed.
(tibble::tibble)
progressIf shiny is loaded, the analysis' progress is stored within this instance of the shiny Progress class.
(shiny::Progress)
Method plot_pair_dist()
Plots the analysis result.
Usage
pgu.missingsCharacterizer$plot_pair_dist(data_df = "tbl_df")
Arguments
data_dfThe data to be analyzed.
(tibble::tibble)
Method clone()
The objects of this class are cloneable with this method.
Usage
pgu.missingsCharacterizer$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Author(s)
Sebastian Malkusch, malkusch@med.uni-frankfurt.de
pguIMP documentation built on Sept. 30, 2021, 5:08 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Format Details Active bindings Methods Author(s)
Description
A class that characterizes the origin of missing values.
Format
R6::R6Class object.
Details
A class that characterizes the origin of missing values. This object is used by the shiny based gui and is not for use in individual R-scripts!
Active bindings
featureAlphabetReturns the instance variable featureAlphabet. (character)
featureAgentReturns the instance variable featureAgent. (character)
setFeatureAgentSets the instance variable featureAgent. (character)
missingsCharacteristics_dfReturns the instance variable missingsCharacteristics_df. (tibble::tibble)
Methods
Public methods
Method new()
Creates and returns a new pgu.missingsCharacterizer object.
Usage
pgu.missingsCharacterizer$new(data_df = "tbl_df")
Arguments
data_dfThe data to be analyzed. (tibble::tibble)
Returns
A new pgu.missingsCharacterizer object.
(pguIMP::pgu.missingsCharacterizer)
Method finalize()
Clears the heap and
indicates if instance of pgu.missingsCharacterizer is removed from heap.
Usage
pgu.missingsCharacterizer$finalize()
Method print()
Prints instance variables of a pgu.missingsCharacterizer object.
Usage
pgu.missingsCharacterizer$print()
Returns
string
Method reset()
Takes a dataframe that will be analyzed using the analyze function and resets the instance variables.
Usage
pgu.missingsCharacterizer$reset(data_df = "tbl_df")
Arguments
data_dfThe data to be analyzed. (tibble::tibble)
Method analyze()
resets the instance variables and analyzes a dataframe.
Usage
pgu.missingsCharacterizer$analyze(data_df = "tbl_df", progress = "Progress")
Arguments
data_dfThe data to be analyzed. (tibble::tibble)
progressIf shiny is loaded, the analysis' progress is stored within this instance of the shiny Progress class. (shiny::Progress)
Method plot_pair_dist()
Plots the analysis result.
Usage
pgu.missingsCharacterizer$plot_pair_dist(data_df = "tbl_df")
Arguments
data_dfThe data to be analyzed. (tibble::tibble)
Method clone()
The objects of this class are cloneable with this method.
Usage
pgu.missingsCharacterizer$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Author(s)
Sebastian Malkusch, malkusch@med.uni-frankfurt.de
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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