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 2.615861 NaN 1 2.574927 NaN #> 2 Splat Variance 10.798169 NaN 1 10.057574 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 41.755000 NaN #> 4 Splat MeanVar 9.744237 NaN 1 12.092071 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 43.265000 NaN #> 6 Splat LibSize 61314.500000 NaN 1 63396.500000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.137784 NaN 1 #> 2 1 12.857848 NaN 1 #> 3 1 46.153819 NaN 1 #> 4 1 15.172185 NaN 1 #> 5 1 52.764808 NaN 1 #> 6 1 65195.861842 NaN 1