modeimp: Mode imputation

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

Description

Mode imputation

Usage

modeimp(mat)

Arguments

mat	A matrix of categorical or ordinal values, coded as integer values (1, 2, 3, ...)

Details

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

Value

The imputed matrix

Author(s)

Alessandro barbiero, Giancarlo Manzi, Pier Alda Ferrari

See Also

medianimp, modeimp

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
modeimp(mat)
# 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    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
      [,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.