knnImputation: knnImputation

In pguIMP: 'pguIMP'

Description

Imputes missings using kNN.

Usage

knnImputation(data, k = 10, scale = TRUE, meth = "weighAvg", distData = NULL)

Arguments

data	data frame containing missing values
k	number of nearest neighbors
scale	Indicates if data should be scaled
meth	Method for estimating the missing value
distData	Distance to the case

Details

Function that fills in all unknowns using the k Nearest Neighbours of each case with unknows. By default it uses the values of the neighbours and obtains an weighted (by the distance to the case) average of their values to fill in the unknows. If meth='median' it uses the median/most frequent value, instead. Taken from https://github.com/ltorgo/DMwR2/

Value

cleaned data

Author(s)

Luis Torgo

Examples

centralValue(x = seq(1,10,1))

pguIMP documentation built on Sept. 30, 2021, 5:08 p.m.