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 3.545552e+00 NaN 1 3.129809e+00 NaN #> 2 Splat Variance 7.591704e-02 NaN 1 1.200872e-01 NaN #> 3 Splat ZerosGene 3.500000e+01 NaN 1 4.185500e+01 NaN #> 4 Splat MeanVar 4.092154e-01 NaN 1 4.692433e-01 NaN #> 5 Splat MeanZeros 4.500000e+01 NaN 1 4.415500e+01 NaN #> 6 Splat LibSize 6.258000e+04 NaN 1 6.246590e+04 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.498988e+00 NaN 1 #> 2 1 1.702264e-01 NaN 1 #> 3 1 4.627229e+01 NaN 1 #> 4 1 5.756617e-01 NaN 1 #> 5 1 5.414541e+01 NaN 1 #> 6 1 6.399102e+04 NaN 1