A class that characterizes the origin of missing values.
R6::R6Class object.
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)
new()Creates and returns a new pgu.missingsCharacterizer object.
pgu.missingsCharacterizer$new(data_df = "tbl_df")
data_dfThe data to be analyzed. (tibble::tibble)
A new pgu.missingsCharacterizer object.
(pguIMP::pgu.missingsCharacterizer)
finalize()Clears the heap and
indicates if instance of pgu.missingsCharacterizer is removed from heap.
pgu.missingsCharacterizer$finalize()
print()Prints instance variables of a pgu.missingsCharacterizer object.
pgu.missingsCharacterizer$print()
string
reset()Takes a dataframe that will be analyzed using the analyze function and resets the instance variables.
pgu.missingsCharacterizer$reset(data_df = "tbl_df")
data_dfThe data to be analyzed. (tibble::tibble)
analyze()resets the instance variables and analyzes a dataframe.
pgu.missingsCharacterizer$analyze(data_df = "tbl_df", progress = "Progress")
data_dfThe data to be analyzed. (tibble::tibble)
progressIf shiny is loaded, the analysis' progress is stored within this instance of the shiny Progress class. (shiny::Progress)
plot_pair_dist()Plots the analysis result.
pgu.missingsCharacterizer$plot_pair_dist(data_df = "tbl_df")
data_dfThe data to be analyzed. (tibble::tibble)
clone()The objects of this class are cloneable with this method.
pgu.missingsCharacterizer$clone(deep = FALSE)
deepWhether to make a deep clone.
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!