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 |

`method` |
when "mean", the continuous variables are averaged using |

`...` |
passed to |

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 [email protected]

John Coulston [email protected]

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
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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