WorstAccuracyTable

A data.table that you intend to fill missing values, warning this dataframe shall contain no missing values so the user must drop the lines it happens

The collumns you wish to use to predict the missing values

VECTORS

The collum with the missing values you wish to fill

goal

<code>WorstAccuracyTable</code> Asks for a data.table, a vector of collumn indices and the goal collumn and returns the minimum possible value of accuracy of filling missing values

How to deal with missing data?Based on the concept of almost functional dependencies, a method is proposed to fill missing data, as well as help you see what data is missing.
The user can specify a measure of error and how many combinations he wish to test the dependencies against, the closer to the length of the dataset, the more precise.
But the higher the number, the more time it will take for the process to finish.
If the program cannot predict with the accuracy determined by the user it shall not fill the data, the user then can choose to increase the error or deal with the data another way.

Rafael Pereira

cleanerR

How to Handle your Missing Data

WorstAccuracyTable function

<code>WorstAccuracyTable</code> Asks for a data.table, a vector of collumn indices and the goal collumn and returns the minimum possible value of accuracy of filling missing values — WorstAccuracyTable

<code>WorstAccuracyTable</code> Asks for a data.table, a vector of collumn indices and the goal collumn and returns the minimum possible value of accuracy of filling missing values

WorstAccuracyTable: `WorstAccuracyTable` Asks for a data.table, a vector of collumn indices and the goal collumn and returns the minimum possible value of accuracy of filling missing values

Description

Usage

Arguments