Class for representing a nearest neighbour imputation result
This is a class representation of nearest neighbour imputation (nni) result
Creating Objectsnew("nniRes", completeObs=[the estimated complete
observations], k=[cluster size], nObs=[amount of observations],
nVar=[amount of variables], centered=[was the data centered befor
running LLSimpute], center=[original means], method=[method used
to perform clustering], missing=[amount of NAs])
Slots
"matrix", the estimated complete observations
"numeric", amount of observations
"numeric", amount of variables
"character", the correlation method used (pearson, kendall or spearman)
"logical", data was centered or not
"numeric", the original variable centers
"numeric", cluster size
"character", the method used to perform the clustering
"numeric", the total amount of missing values in original data
Methods
Print function
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