Description Format Construction Active bindings Methods Author(s) Examples
An R6 class that performs pairwise correlation of the features of the original and the imputed data set. The correlation results of both data sets are compared by subtraction.
R6::R6Class object.
x <- pguIMP::pgu.corrValidator$new()
featureNames
Returns the instance variable featureNames. (character)
orgR_mat
Returns the instance variable orgR_mat. (matrix)
impR_mat
Returns the instance variable impR_mat. (matrix)
orgP_mat
Returns the instance variable orgP_mat. (matrix)
impP_mat
Returns the instance variable impP_mat. (matrix)
corr_df
Returns the instance variable corr_df. (tibble::tibble)
summary_df
Returns the instance variable summary_df. (tibble::tibble)
new()
Clears the heap and
indicates if instance of pgu.corrValidator
is removed from heap.
Summary of the correlation deviation distribution.
Creates a square matrix which dimension corresponds to the length
of the instance variable featureNames. The matrix entries are set to a distinct value
.
Flattens the results transforms them into a dataframe and stores it into the instance variable corr_df.
Creates and returns a new pgu.corrValidator
object.
pgu.corrValidator$new(org_df = "tbl_df", imp_df = "tbl_df")
org_df
The original data to be analyzed. (tibble::tibble)
imp_df
The imputed version of the org_df data.
A new pgu.corrValidator
object.
(pguIMP::pgu.corrValidator)
print()
Prints instance variables of a pgu.corrValidator
object.
pgu.corrValidator$print()
string
reset()
Resets the object pgu.corrValidator
based on the instance variable featureNames..
pgu.corrValidator$reset()
fit()
Runs the corraltion analysis.
pgu.corrValidator$fit(org_df = "tbl_df", imp_df = "tbl_df")
org_df
Adataframe comprising the original data. (tibble::tibble)
imp_df
Adataframe comprising the imputed data. (tibble::tibble)
correlationScatterPlot()
Plots the correlation analysis results.
pgu.corrValidator$correlationScatterPlot()
correlationBarPlot()
Creates and returns a histogram from the cor_delat values.
pgu.corrValidator$correlationBarPlot()
Bar plot (ggplot2::ggplot)
correlationBoxPlot()
Plots the correlation analysis results.
pgu.corrValidator$correlationBoxPlot()
correlationCompoundPlot()
Creates and returns a compund graphical analysis of the cor_delta values.
pgu.corrValidator$correlationCompoundPlot()
Compound plot (gridExtra::grid.arrange)
clone()
The objects of this class are cloneable with this method.
pgu.corrValidator$clone(deep = FALSE)
deep
Whether to make a deep clone.
Sebastian Malkusch, malkusch@med.uni-frankfurt.de
1 2 3 4 5 6 7 8 9 10 | |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.