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 2.565952 NaN 1 2.537638 NaN #> 2 Splat Variance 11.684223 NaN 1 10.622008 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 41.320000 NaN #> 4 Splat MeanVar 11.216247 NaN 1 12.248453 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 43.040000 NaN #> 6 Splat LibSize 60156.000000 NaN 1 62639.300000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.081167 NaN 1 #> 2 1 13.288101 NaN 1 #> 3 1 45.494505 NaN 1 #> 4 1 15.266613 NaN 1 #> 5 1 52.700095 NaN 1 #> 6 1 64195.529851 NaN 1