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 2.526815 NaN 1 2.445861 NaN #> 2 Splat Variance 11.390815 NaN 1 10.045729 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 41.305000 NaN #> 4 Splat MeanVar 10.687854 NaN 1 11.962774 NaN #> 5 Splat MeanZeros 40.000000 NaN 1 41.495000 NaN #> 6 Splat LibSize 55882.500000 NaN 1 58030.650000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 2.986489 NaN 1 #> 2 1 12.686655 NaN 1 #> 3 1 45.644003 NaN 1 #> 4 1 14.905983 NaN 1 #> 5 1 51.031118 NaN 1 #> 6 1 59276.438841 NaN 1