https://github.com/cran/robCompositions
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Tip revision: 128cc5eed366a5a3f6c33b70a81379c1b1ca8688 authored by Matthias Templ on 16 August 2010, 18:42:55 UTC
version 1.4.3
Tip revision: 128cc5e
summary.imp.R
summary.imp <- function(object, ...){
  geometricmean <- function (x) {
    if (any(na.omit(x == 0)))
        0
    else exp(mean(log(unclass(x)[is.finite(x) & x > 0])))
  }
gm <- apply(object$xOrig, 2, function(x) {
  geometricmean(x[complete.cases(x)])
})
gmI <- apply(object$xImp, 2, function(x) {
  geometricmean(x[complete.cases(x)]) ## gewichten!
})

  d <- data.frame(orig=gm,
                  imp=gmI)
  cat("\n geometric mean of the original data and the imputed data: \n")

  ## Einfluss der Imputation mittels bootstrap schaetzen
  ## laut script sim

  d
}
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