Candidates: 'Candidates' Asks for a dataframe and some parameters and...

In cleanerR: How to Handle your Missing Data

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

cleanerR documentation built on May 2, 2019, 5:51 a.m.