ec.knnimp: Imputation using k-nearest neighbors.

In dprep: Data Pre-Processing and Visualization Functions for Classification

Description

This function imputes missing values by knn imputation.

Usage

ec.knnimp(data, nomatr=0, k=10)

Arguments

data	matrix containing relevant variables and classes
nomatr	list of nominal attributes
k	number of neighbors to use for imputation

Value

r	matrix with missing values imputed

Author(s)

Caroline Rodriguez and Edgar Acuna

Examples

data(hepatitis)
hepa.knnimp=ec.knnimp(hepatitis,nomatr=c(1,3:14),k=10)

Example output

Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE 
3: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 

dprep documentation built on May 29, 2017, 11:01 a.m.