yaImpute (version 1.0-32)

foruse: Report a complete imputation

Description

Provides a matrix of all observations with the reference observation identification best used to represent it, followed by the distance.

Usage

foruse(object,kth=NULL,method="kth",targetsOnly=FALSE)

Arguments

object

an object created by yai

kth

when NULL (and method="kth"), the best pick is reported (a reference observation represents itself), otherwise the kth neighbor is picked.

method

the method used to select references to represent observations, as follows:
kth: the kth nearest neighbor is picked;
random: for each observation, the value of kth is selected at random from the 1 to k neighbors (1 to kth if is kth specified);
randomWeighted: 1/(1+d) is used as a probability weight factor in selecting the value of kth, where d is the distance..

targetsOnly

when is TRUE, reporting of references is not done.

Author

Nicholas L. Crookston
Andrew O. Finley

Examples

require(yaImpute)

data(iris)

# form some test data
set.seed(1234)
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",k=3)

foruse(mal)  # for references, use is equal to the rowname
foruse(mal,kth=1) # for references, use is an row to the kth reference.

# get all the choices:
cbind(foruse(mal),foruse(mal,kth=1),foruse(mal,kth=2),foruse(mal,kth=3))