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 2.434959 NaN 1 2.372109 NaN #> 2 Splat Variance 11.529400 NaN 1 10.235263 NaN #> 3 Splat ZerosGene 30.000000 NaN 1 37.590000 NaN #> 4 Splat MeanVar 10.907122 NaN 1 12.107674 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 41.375000 NaN #> 6 Splat LibSize 62644.500000 NaN 1 61051.350000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 2.909392 NaN 1 #> 2 1 12.895348 NaN 1 #> 3 1 42.376880 NaN 1 #> 4 1 15.083543 NaN 1 #> 5 1 50.717600 NaN 1 #> 6 1 61731.822271 NaN 1