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 |
---|
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 2.850369 NaN 1 2.68786 NaN #> 2 Splat Variance 10.925370 NaN 1 10.16677 NaN #> 3 Splat ZerosGene 35.000000 NaN 1 40.95000 NaN #> 4 Splat MeanVar 10.337395 NaN 1 11.82182 NaN #> 5 Splat MeanZeros 45.000000 NaN 1 43.48500 NaN #> 6 Splat LibSize 63360.000000 NaN 1 63145.30000 NaN #> MAERank RMSE RMSEScaled RMSERank #> 1 1 3.24744 NaN 1 #> 2 1 13.01313 NaN 1 #> 3 1 45.30232 NaN 1 #> 4 1 15.00130 NaN 1 #> 5 1 53.57635 NaN 1 #> 6 1 64157.28039 NaN 1