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 2.808554 NaN 1 2.772518 NaN #> 2 Splat Variance 11.361681 NaN 1 10.428142 NaN #> 3 Splat ZerosGene 40.000000 NaN 1 45.485000 NaN #> 4 Splat MeanVar 10.717219 NaN 1 12.528423 NaN #> 5 Splat MeanZeros 47.500000 NaN 1 45.605000 NaN #> 6 Splat LibSize 50259.000000 NaN 1 55938.050000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.327546 NaN 1 #> 2 1 13.298290 NaN 1 #> 3 1 49.252157 NaN 1 #> 4 1 15.695765 NaN 1 #> 5 1 54.819020 NaN 1 #> 6 1 56998.524432 NaN 1