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 2.578921 NaN 1 2.526951 NaN #> 2 Splat Variance 11.923672 NaN 1 10.771444 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 41.210000 NaN #> 4 Splat MeanVar 11.687919 NaN 1 12.429719 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 42.440000 NaN #> 6 Splat LibSize 53750.500000 NaN 1 57352.550000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.056807 NaN 1 #> 2 1 13.346501 NaN 1 #> 3 1 45.518677 NaN 1 #> 4 1 15.389141 NaN 1 #> 5 1 51.924946 NaN 1 #> 6 1 58750.990661 NaN 1