- This function provides a matrix of reference observations that are used most often as sources of imputation and acolumn of the counts.
- The observations are listed in sorted order, most often used first.
install.packages("yaImpute")
library(yaImpute)
suppressWarnings(library(dplyr))
suppressWarnings(library(magrittr))Installing package into '/home/nbcommon/R'
(as 'lib' is unspecified)
Attaching package: 'dplyr'
The following object is masked from 'package:yaImpute':
vars
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
data(iris)
# form some test data
refs=sample(rownames(iris),50)
x <- iris[,1:3] # Sepal.Length Sepal.Width Petal.Length
y <- iris[refs,4:5] # Petal.Width Species
# build a yai object using mahalanobis
mal <- yai(x=x,y=y,method="mahalanobis")
mostused(mal,kth=1) %>% head(10)
- 142
- 11
- 130
- 8
- 121
- 6
- 122
- 6
- 141
- 6
- 40
- 6
- 11
- 5
- 112
- 5
- 138
- 5
- 38
- 5