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
#>#>#>#>#>#>#>#>#>#>#>difference <- diffSCEs(list(Splat = sim1, Simple = sim2), ref = "Simple") summary <- summariseDiff(difference) head(summary)#> Dataset Statistic MAD MADScaled MADRank MAE MAEScaled #> 1 Splat Mean 2.288457 NaN 1 2.361992 NaN #> 2 Splat Variance 9.864920 NaN 1 9.885907 NaN #> 3 Splat ZerosGene 30.000000 NaN 1 38.245000 NaN #> 4 Splat MeanVar 9.311683 NaN 1 11.773079 NaN #> 5 Splat MeanZeros 40.000000 NaN 1 41.455000 NaN #> 6 Splat LibSize 59924.000000 NaN 1 60889.500000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 2.911241 NaN 1 #> 2 1 12.576504 NaN 1 #> 3 1 43.466366 NaN 1 #> 4 1 14.872900 NaN 1 #> 5 1 51.016909 NaN 1 #> 6 1 62360.840953 NaN 1