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 2.617539 NaN 1 2.620761 NaN #> 2 Splat Variance 11.320287 NaN 1 10.223665 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 41.665000 NaN #> 4 Splat MeanVar 10.533179 NaN 1 12.061862 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 43.805000 NaN #> 6 Splat LibSize 59620.000000 NaN 1 62014.200000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.164726 NaN 1 #> 2 1 12.986116 NaN 1 #> 3 1 45.973090 NaN 1 #> 4 1 15.097781 NaN 1 #> 5 1 53.529198 NaN 1 #> 6 1 63276.140327 NaN 1