ec.knnimp: Imputation using k-nearest neighbors.
In dprep: Data Pre-Processing and Visualization Functions for Classification

Description Usage Arguments Value Author(s) Examples

This function imputes missing values by knn imputation.

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

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

`r`	matrix with missing values imputed

Caroline Rodriguez and Edgar Acuna

1 2	data(hepatitis) hepa.knnimp=ec.knnimp(hepatitis,nomatr=c(1,3:14),k=10)

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