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 2.840543 NaN 1 2.850934 NaN #> 2 Splat Variance 11.680343 NaN 1 10.451830 NaN #> 3 Splat ZerosGene 40.000000 NaN 1 44.485000 NaN #> 4 Splat MeanVar 11.047790 NaN 1 12.143856 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 44.780000 NaN #> 6 Splat LibSize 62717.000000 NaN 1 62238.650000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.426694 NaN 1 #> 2 1 13.221106 NaN 1 #> 3 1 47.795136 NaN 1 #> 4 1 15.125288 NaN 1 #> 5 1 54.805109 NaN 1 #> 6 1 64042.506466 NaN 1