R: Plot of the Amount Of Missing Values

PlotMissingvalues {DataVisualizations} | R Documentation

## Plot of the Amount Of Missing Values

### Description

Percentage of missing values per feature are visualized as a bar plot.

### Usage

    PlotMissingvalues(Data,Names,

    WhichDefineMissing=c('NA','NaN','DUMMY','.',' '),

    PlotIt=TRUE,

    xlab='Amount Of Missing Values in Percent',

    xlim=c(0,100),...)

### Arguments

`Data` | [1:n,1:d] data cases in rows, variables/features in columns
`Names` | [1:d] optional vector of string describing the names of the features
`WhichDefineMissing` | [1:d] optional vector of string describing missing values, usefull for character features. Currently up to five different options are possible.
`PlotIt` | If FALES: Does not plot
`xlab` | x label of bar plot
`xlim` | x axis limits in percent
`...` | Further arguments passed on to `barplot`, such as `main` for title

### Value

plots not finite and missing values as a bar plot for each feature d and returns with `invisible` the amount of missing values as a vector. Works even with character variables, but WhichDefineMissing cannot be changed at the current version. Please make a suggestion on GitHub how to improve this.

### Note

Does not work with the tibble format, in such a case please call `as.data.frame(as.matrix(Data))`

### Author(s)

Michael Thrun

### Examples

    data("ITS")
    data("MTY")

    PlotMissingvalues(cbind(ITS,MTY),Names=c('ITS','MTY'))

[Package DataVisualizations version 1.2.3 Index]