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 2.338299 NaN 1 2.392073 NaN #> 2 Splat Variance 11.506849 NaN 1 10.222706 NaN #> 3 Splat ZerosGene 30.000000 NaN 1 38.780000 NaN #> 4 Splat MeanVar 9.588721 NaN 1 11.820910 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 42.060000 NaN #> 6 Splat LibSize 55543.500000 NaN 1 58282.850000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 2.907697 NaN 1 #> 2 1 12.865170 NaN 1 #> 3 1 44.006818 NaN 1 #> 4 1 14.953873 NaN 1 #> 5 1 51.575673 NaN 1 #> 6 1 59902.661935 NaN 1