cleanerR (version 0.1.1)

Candidates: Candidates Asks for a dataframe and some parameters and returns how close the collums chosen can predict the goal collum Should be used mostly with generate_candidates or preferably BestVector in case you only want the best combination possible for prediction

Description

Candidates Asks for a dataframe and some parameters and returns how close the collums chosen can predict the goal collum Should be used mostly with generate_candidates or preferably BestVector in case you only want the best combination possible for prediction

Usage

Candidates(df, goal, vec, repetitions, trigger = 1)

Arguments

df

A dataframe with the missing values you wish to fill

goal

The collum with the missing values you wish to fill

vec

a vector of collums you wish to test if can be used to predict the values

repetitions

Measure of error, the bigger the less likely you will get the right prediction

trigger

When you pair all possible combination of tuples a percentage of them will show only once, trigger rejects the set if this percentage is higher than this value