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 |
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data.frame with MADs, MAEs, RMSEs, scaled statistics and ranks
#>#>#>#>#>#>#>#>#>#>#>#>#>#>#>summary <- summariseDiff(difference) head(summary)#> Dataset Statistic MAD MADScaled MADRank MAE MAEScaled #> 1 Splat Mean 2.623408 NaN 1 2.659195 NaN #> 2 Splat Variance 11.848783 NaN 1 10.505147 NaN #> 3 Splat ZerosGene 40.000000 NaN 1 44.110000 NaN #> 4 Splat MeanVar 11.400920 NaN 1 12.415584 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 43.945000 NaN #> 6 Splat LibSize 55997.500000 NaN 1 56484.550000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.21666 NaN 1 #> 2 1 13.21816 NaN 1 #> 3 1 47.71111 NaN 1 #> 4 1 15.39405 NaN 1 #> 5 1 53.33878 NaN 1 #> 6 1 57530.14610 NaN 1