Several objects of class
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.
a list of objects class
when "mean", the continuous variables are averaged using
An object of class
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
sampleVar, or both are used in
methods the method used for each variable.
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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)
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