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 2.08877 NaN 1 2.280154 NaN #> 2 Splat Variance 11.60810 NaN 1 10.409312 NaN #> 3 Splat ZerosGene 30.00000 NaN 1 37.835000 NaN #> 4 Splat MeanVar 11.27607 NaN 1 12.092148 NaN #> 5 Splat MeanZeros 40.00000 NaN 1 40.810000 NaN #> 6 Splat LibSize 58036.50000 NaN 1 57569.750000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 2.779126 NaN 1 #> 2 1 12.936623 NaN 1 #> 3 1 42.628336 NaN 1 #> 4 1 15.034437 NaN 1 #> 5 1 50.112374 NaN 1 #> 6 1 58351.247110 NaN 1