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 |
---|
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 2.530516 NaN 1 2.50054 NaN #> 2 Splat Variance 11.620776 NaN 1 10.56835 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 42.13500 NaN #> 4 Splat MeanVar 11.192251 NaN 1 12.16095 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 42.99500 NaN #> 6 Splat LibSize 59471.500000 NaN 1 58817.15000 NaN #> MAERank RMSE RMSEScaled RMSERank KS KSPVal KSRank #> 1 1 3.059393 NaN 1 0.347 0.000000e+00 1 #> 2 1 13.148823 NaN 1 0.607 0.000000e+00 1 #> 3 1 46.456162 NaN 1 0.589 0.000000e+00 1 #> 4 1 15.175921 NaN 1 NA NA NA #> 5 1 52.428284 NaN 1 NA NA NA #> 6 1 60152.394407 NaN 1 1.000 4.122307e-09 1