Summarise the results of diffSCEs
. Calculates the Median
Absolute Deviation (MAD), Mean Absolute Error (MAE), Root Mean Squared
Error (RMSE) and Kolmogorov-Smirnov (KS) statistics 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 2.288933 NaN 1 2.375445 NaN #> 2 Splat Variance 11.025042 NaN 1 9.969259 NaN #> 3 Splat ZerosGene 30.000000 NaN 1 40.500000 NaN #> 4 Splat MeanVar 9.509015 NaN 1 11.819818 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 42.780000 NaN #> 6 Splat LibSize 59367.000000 NaN 1 59618.300000 NaN #> MAERank RMSE RMSEScaled RMSERank KS KSPVal KSRank #> 1 1 2.85907 NaN 1 0.334 0.000000e+00 1 #> 2 1 12.57383 NaN 1 0.573 0.000000e+00 1 #> 3 1 45.84158 NaN 1 0.542 0.000000e+00 1 #> 4 1 14.92356 NaN 1 NA NA NA #> 5 1 51.94324 NaN 1 NA NA NA #> 6 1 61010.54295 NaN 1 1.000 1.450928e-11 1