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 2.747262 NaN 1 2.687708 NaN #> 2 Splat Variance 12.048614 NaN 1 10.964929 NaN #> 3 Splat ZerosGene 40.000000 NaN 1 44.560000 NaN #> 4 Splat MeanVar 11.536097 NaN 1 12.817781 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 44.735000 NaN #> 6 Splat LibSize 60309.000000 NaN 1 62775.150000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.224377 NaN 1 #> 2 1 13.890753 NaN 1 #> 3 1 48.064020 NaN 1 #> 4 1 15.970356 NaN 1 #> 5 1 54.010879 NaN 1 #> 6 1 63881.558662 NaN 1