medianimp: Median imputation

In ForImp: Imputation of Missing Values Through a Forward Imputation Algorithm

Description

Median imputation

Usage

medianimp(mat)

Arguments

mat	A matrix of ordinal values , ordered according to the Likert scale (1, 2, 3,...)

Details

The function implements the median imputation on a matrix of ordinal data with missing values. The function substitutes to each missing value the median of the corresponding variable.

Value

The imputed matrix

Author(s)

Alessandro Barbiero, Giancarlo Manzi, Pier Alda Ferrari

See Also

modeimp, meanimp

Examples

set.seed(1)
n<-10
m<-3
mat<-matrix(ceiling(runif(n*m)*4),n,m)
matm<-mat
matm[1,3]<-NA
matm[9:10,1]<-NA
# matrix with missing values
matm
# imputed matrix
medianimp(matm)
# original matrix with no missing values
mat

Example output

Loading required package: homals
Loading required package: sampling
Loading required package: mvtnorm
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 
      [,1] [,2] [,3]
 [1,]    2    1   NA
 [2,]    2    1    1
 [3,]    3    3    3
 [4,]    4    2    1
 [5,]    1    4    2
 [6,]    4    2    2
 [7,]    4    3    1
 [8,]    3    4    2
 [9,]   NA    2    4
[10,]   NA    4    2
      [,1] [,2] [,3]
 [1,]    2    1    2
 [2,]    2    1    1
 [3,]    3    3    3
 [4,]    4    2    1
 [5,]    1    4    2
 [6,]    4    2    2
 [7,]    4    3    1
 [8,]    3    4    2
 [9,]    3    2    4
[10,]    3    4    2
      [,1] [,2] [,3]
 [1,]    2    1    4
 [2,]    2    1    1
 [3,]    3    3    3
 [4,]    4    2    1
 [5,]    1    4    2
 [6,]    4    2    2
 [7,]    4    3    1
 [8,]    3    4    2
 [9,]    3    2    4
[10,]    1    4    2

ForImp documentation built on May 2, 2019, 8:17 a.m.