ensembleImpute: Computes the mean, median, or mode among a list of impute.yai...
In yaImpute: Nearest Neighbor Observation Imputation and Evaluation Tools

Description Usage Arguments Value Author(s) See Also Examples

Several objects of class impute.yai or yai are combined by computing the mean, median, or mode of separate, individual imputations. The intention is that the members of the first argument would be formed by running yai several times with bootstrap=TRUE or by varying other options.

1	ensembleImpute(imputes, method="mean",...)

`imputes`	a list of objects class `impute.yai` or `yai`. Function `impute.yai` is called for list members where the class is yai.
`method`	when "mean", the continuous variables are averaged using `mean`, otherwise the `median` is used. Mode is always used for character data (generally the case for factors).
`...`	passed to `impute.yai`.

An object of class c("impute.yai","data.frame"), see impute.yai. The attributes of the data.frame include the following:

sd A data.frame of standard deviations for continuous variables if there are any. The columns are not reported if the standard deviation is zero for all observations which is typically true of "observed" values.
N the number of replictions used to compute the corresponding data; reported only if the number differs from the total number of replications. This will be the case when bootstrap, sampleVar, or both are used in yai.
methods the method used for each variable.

Nicholas L. Crookston ncrookston.fs@gmail.com
John Coulston jcoulston@fs.fed.us

yai buildConsensus impute.yai

require (yaImpute)
data(iris)

set.seed(123) 

# form some test data, y's are defined only for reference
# observations.
refs=sample(rownames(iris),50)
x <- iris[,1:2]      # Sepal.Length Sepal.Width
y <- iris[refs,3:4]  # Petal.Length Petal.Width

reps <- replicate(10, yai(x=x,y=y,method="msn",bootstrap=TRUE,k=2),
                  simplify=FALSE)

ensembleImpute(reps,ancillaryData=iris)