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## File Name: mice.impute.2l.groupmean.R
## File Version: 0.17
mice.impute.2l.groupmean <- function (y, ry, x, type, grmeanwarning=TRUE, ...)
{
if ( ( ncol(x) > 2 ) & grmeanwarning ){
warning("\nMore than one variable is requested to be aggregated.\n")
}
clusterx <- paste( x[,type==-2] )
a1 <- rowsum( x[, type %in% c(1,2) ], clusterx, na.rm=TRUE )
a2 <- rowsum( 1+0*x[, type %in% c(1,2) ], clusterx, na.rm=TRUE )
i1 <- match( clusterx, as.numeric( rownames(a1) ) )
ximp <- a1[i1,,drop=FALSE] / a2[i1,,drop=FALSE]
# calculate aggregated values
colnames(ximp) <- paste( names(type)[ type %in% c(1,2) ], names(type)[ type==-2 ] )
return(ximp)
}
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