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 2.189448 NaN 1 2.413328 NaN #> 2 Splat Variance 11.093339 NaN 1 9.715559 NaN #> 3 Splat ZerosGene 30.000000 NaN 1 36.935000 NaN #> 4 Splat MeanVar 10.378331 NaN 1 11.562988 NaN #> 5 Splat MeanZeros 40.000000 NaN 1 41.485000 NaN #> 6 Splat LibSize 63648.000000 NaN 1 64685.100000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 2.985198 NaN 1 #> 2 1 12.342547 NaN 1 #> 3 1 41.914496 NaN 1 #> 4 1 14.488452 NaN 1 #> 5 1 51.422028 NaN 1 #> 6 1 65468.891494 NaN 1