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 2.543821 NaN 1 2.490035 NaN #> 2 Splat Variance 10.495774 NaN 1 9.766863 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 41.330000 NaN #> 4 Splat MeanVar 8.419913 NaN 1 11.469025 NaN #> 5 Splat MeanZeros 40.000000 NaN 1 41.830000 NaN #> 6 Splat LibSize 57521.500000 NaN 1 59002.500000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.004655 NaN 1 #> 2 1 12.483217 NaN 1 #> 3 1 45.764615 NaN 1 #> 4 1 14.691833 NaN 1 #> 5 1 51.732968 NaN 1 #> 6 1 60005.941034 NaN 1