Summarise the results of diffSCESets
. 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 <- diffSCESets(list(Splat = sim1, Simple = sim2), ref = "Simple") summary <- summariseDiff(difference) head(summary)#> Dataset Statistic MAD MADScaled MADRank MAE MAEScaled #> 1 Splat Mean 2.680705 NaN 1 2.613714 NaN #> 2 Splat Variance 11.803596 NaN 1 10.839966 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 41.705000 NaN #> 4 Splat MeanVar 11.293733 NaN 1 12.494680 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 43.895000 NaN #> 6 Splat LibSize 62080.000000 NaN 1 63692.450000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.125188 NaN 1 #> 2 1 13.638865 NaN 1 #> 3 1 45.945892 NaN 1 #> 4 1 15.583460 NaN 1 #> 5 1 53.301735 NaN 1 #> 6 1 64680.944707 NaN 1