saberIt: Statistical Analysis of Benchmark Results
In danielhorn/SABeR: Statistical Analysis of Benchmark Results

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saberIt(data, perfName, expParName, algoName, replName,
  method = "kmeans", min.in.cluster = n.exps * 0.1, max.nc = n.exps *
  0.5, ...)

`data`	[`data.frame`] Data.frame containing the data to be analyzed
`perfName`	[`character(1)`] Name of the column of data containing the performance values
`expParName`	[`character()`] Names of the columns of data containing the experiment parameters
`algoName`	[`character(1)`] Name of the column of data containing the used algorithm
`replName`	[`character(1)`] Name of the column of data containing the replication number
`method`	[`character(1)`] method used in `NbClust`
`min.in.cluster`	[`numeric(1)`] Each found cluster shall contain at least this number of observations.
`max.nc`	[`numeric(1)`] Maximum number of clusters.
`...`	Additional parameters for `NbClust`