Summarise the results of diffSCEs
. Calculates the Median
Absolute Deviation (MAD), Mean Absolute Error (MAE) and Root Mean Squared
Error (RMSE) for the various properties and ranks them.
summariseDiff(diff)
diff | Output from |
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data.frame with MADs, MAEs, RMSEs, scaled statistics and ranks
#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>summary <- summariseDiff(difference) head(summary)#> Dataset Statistic MAD MADScaled MADRank MAE MAEScaled #> 1 Splat Mean 2.67384 NaN 1 2.710879 NaN #> 2 Splat Variance 11.83125 NaN 1 10.836162 NaN #> 3 Splat ZerosGene 35.00000 NaN 1 40.860000 NaN #> 4 Splat MeanVar 11.35193 NaN 1 12.464230 NaN #> 5 Splat MeanZeros 45.00000 NaN 1 43.990000 NaN #> 6 Splat LibSize 54007.50000 NaN 1 57638.350000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.287816 NaN 1 #> 2 1 13.638593 NaN 1 #> 3 1 45.098780 NaN 1 #> 4 1 15.539611 NaN 1 #> 5 1 53.837719 NaN 1 #> 6 1 58755.898060 NaN 1