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 2.757589 NaN 1 2.651957 NaN #> 2 Splat Variance 10.467288 NaN 1 10.272985 NaN #> 3 Splat ZerosGene 40.000000 NaN 1 44.935000 NaN #> 4 Splat MeanVar 9.682925 NaN 1 12.193247 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 44.460000 NaN #> 6 Splat LibSize 56511.000000 NaN 1 59458.300000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.182101 NaN 1 #> 2 1 13.133714 NaN 1 #> 3 1 48.428039 NaN 1 #> 4 1 15.352203 NaN 1 #> 5 1 53.898052 NaN 1 #> 6 1 61094.139540 NaN 1