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
#>#>#>#>#>#>#>#>#>#>#>difference <- diffSCEs(list(Splat = sim1, Simple = sim2), ref = "Simple") summary <- summariseDiff(difference) head(summary)#> Dataset Statistic MAD MADScaled MADRank MAE MAEScaled #> 1 Splat Mean 2.402442 NaN 1 2.481297 NaN #> 2 Splat Variance 11.598939 NaN 1 10.337802 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 41.345000 NaN #> 4 Splat MeanVar 11.259905 NaN 1 12.078602 NaN #> 5 Splat MeanZeros 40.000000 NaN 1 41.945000 NaN #> 6 Splat LibSize 59020.500000 NaN 1 59926.850000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.03372 NaN 1 #> 2 1 13.03590 NaN 1 #> 3 1 45.66043 NaN 1 #> 4 1 15.08035 NaN 1 #> 5 1 51.61323 NaN 1 #> 6 1 61634.63305 NaN 1