Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.427  0.049  0.1416  0.466  0.6215  0.53
Anderszewski 2003   79  0.2952  0.0070  0.0558  0.0550  0.0773  0.06
Ashkenazy 1981   7  0.4935  0.0015  0.1312  0.5011  0.648  0.57
Bacha 2000   73  0.3174  0.0078  0.0557  0.0541  0.1564  0.09
Badura 1965   71  0.3249  0.0073  0.0387  0.0342  0.1175  0.06
Barbosa 1983   31  0.4142  0.0023  0.0721  0.3919  0.4227  0.40
Biret 1990   46  0.3958  0.0059  0.0745  0.0730  0.3745  0.16
Blet 2003   15  0.4512  0.0113  0.1115  0.473  0.6710  0.56
Block 1995   41  0.4025  0.0036  0.0636  0.2125  0.4236  0.30
Blumental 1952   23  0.4353  0.0027  0.0929  0.3416  0.5423  0.43
Boshniakovich 1969   43  0.4045  0.0046  0.0648  0.0650  0.0676  0.06
Brailowsky 1960   58  0.3537  0.0064  0.0474  0.0431  0.2958  0.11
Bunin 1987   34  0.4124  0.0032  0.0932  0.2720  0.4233  0.34
Bunin 1987b   33  0.4127  0.0031  0.0931  0.2816  0.4731  0.36
Chiu 1999   38  0.4118  0.0024  0.0726  0.3610  0.5422  0.44
Cohen 1997   59  0.3534  0.0040  0.0544  0.1021  0.5440  0.23
Cortot 1951   85  0.2376  0.0084  0.0386  0.0363  0.0586  0.04
Csalog 1996   28  0.4261  0.0048  0.0461  0.0422  0.3260  0.11
Czerny 1949   82  0.2472  0.0085  0.0466  0.0467  0.0484  0.04
Czerny 1990   10  0.473  0.115  0.219  0.5424  0.5614  0.55
Duchoud 2007   56  0.3662  0.0061  0.0463  0.0418  0.4353  0.13
Ezaki 2006   55  0.3647  0.0063  0.0476  0.0447  0.0971  0.06
Falvay 1989   22  0.4326  0.0022  0.0620  0.4122  0.3630  0.38
Farrell 1958   77  0.3068  0.0079  0.0472  0.0446  0.0872  0.06
Ferenczy 1958   86  0.1983  0.0086  0.0473  0.0448  0.0874  0.06
Fliere 1977   1  0.581  0.341  0.341  0.805  0.731  0.76
Fou 1978   36  0.4156  0.0042  0.0539  0.1537  0.2641  0.20
Francois 1956   63  0.3348  0.0074  0.0385  0.0323  0.4261  0.11
Friedman 1923   61  0.3440  0.0065  0.0465  0.0430  0.3362  0.11
Friedman 1923b   62  0.3429  0.0066  0.0551  0.0532  0.3554  0.13
Friedman 1930   29  0.4159  0.0035  0.0633  0.2713  0.5728  0.39
Garcia 2007   76  0.3069  0.0069  0.0467  0.0435  0.1768  0.08
Garcia 2007b   19  0.4443  0.0021  0.0724  0.3716  0.5520  0.45
Gierzod 1998   75  0.3071  0.0039  0.0641  0.1140  0.1552  0.13
Gornostaeva 1994   57  0.3566  0.0038  0.0637  0.1931  0.3637  0.26
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   42  0.4075  0.0044  0.0643  0.1167  0.0570  0.07
Hatto 1993   3  0.532  0.132  0.332  0.765  0.742  0.75
Hatto 1997   11  0.4744  0.0010  0.118  0.569  0.5711  0.56
Horowitz 1949   20  0.4420  0.0043  0.0640  0.156  0.6735  0.32
Indjic 1988   4  0.528  0.023  0.273  0.733  0.753  0.74
Kapell 1951   48  0.3933  0.0054  0.0383  0.0357  0.0681  0.04
Kissin 1993   51  0.3877  0.0050  0.0475  0.0436  0.3956  0.12
Kushner 1989   16  0.4564  0.0026  0.0923  0.3829  0.3032  0.34
Luisada 1991   5  0.505  0.057  0.185  0.598  0.654  0.62
Lushtak 2004   74  0.3036  0.0056  0.0556  0.0536  0.1369  0.08
Malcuzynski 1961   37  0.4139  0.0041  0.0542  0.1143  0.1259  0.11
Magaloff 1978   17  0.4517  0.0117  0.1319  0.4114  0.4919  0.45
Magin 1975   2  0.544  0.074  0.196  0.596  0.665  0.62
Michalowski 1933   60  0.3519  0.0071  0.0477  0.0417  0.4251  0.13
Milkina 1970   49  0.3931  0.0033  0.0734  0.2530  0.4034  0.32
Mohovich 1999   21  0.4328  0.0020  0.0817  0.4416  0.5616  0.50
Moravec 1969   32  0.4146  0.0037  0.0638  0.1721  0.3638  0.25
Morozova 2008   35  0.4110  0.0216  0.1414  0.4723  0.4717  0.47
Neighaus 1950   52  0.3773  0.0045  0.0550  0.0526  0.3655  0.13
Niedzielski 1931   50  0.3922  0.0047  0.0646  0.0613  0.4842  0.17
Ohlsson 1999   53  0.3655  0.0060  0.0553  0.0555  0.0580  0.05
Osinska 1989   54  0.3654  0.0057  0.0647  0.0657  0.0577  0.05
Pachmann 1927   80  0.2884  0.0082  0.0384  0.0345  0.0879  0.05
Paderewski 1930   64  0.3351  0.0067  0.0468  0.0422  0.4748  0.14
Perlemuter 1992   47  0.3965  0.0052  0.0460  0.0419  0.4550  0.13
Pierdomenico 2008   70  0.3263  0.0072  0.0478  0.0434  0.1965  0.09
Poblocka 1999   18  0.4541  0.0025  0.0722  0.3821  0.5021  0.44
Rabcewiczowa 1932   72  0.3250  0.0053  0.0469  0.0438  0.2363  0.10
Rachmaninoff 1923   9  0.4813  0.018  0.1813  0.493  0.706  0.59
Rangell 2001   84  0.2387  0.0083  0.0382  0.0352  0.0585  0.04
Richter 1976   13  0.4621  0.0018  0.0918  0.4224  0.5018  0.46
Rosen 1989   44  0.3915  0.0128  0.0925  0.3715  0.4229  0.39
Rosenthal 1930   30  0.4132  0.0034  0.0635  0.2511  0.6826  0.41
Rosenthal 1931   83  0.2357  0.0080  0.0380  0.0323  0.4857  0.12
Rosenthal 1931b   81  0.2685  0.0081  0.0649  0.0623  0.4943  0.17
Rosenthal 1931c   69  0.3278  0.0062  0.0462  0.0419  0.4849  0.14
Rosenthal 1931d   78  0.2979  0.0068  0.0470  0.0413  0.5447  0.15
Rossi 2007   87  0.1688  0.0087  0.0379  0.0362  0.0487  0.03
Rubinstein 1939   66  0.3360  0.0055  0.0464  0.0432  0.1867  0.08
Rubinstein 1952   12  0.466  0.0414  0.1111  0.5410  0.609  0.57
Rubinstein 1966   27  0.4230  0.0029  0.0930  0.3436  0.1739  0.24
Schilhawsky 1960   68  0.3367  0.0075  0.0381  0.0347  0.0683  0.04
Shebanova 2002   6  0.4923  0.006  0.174  0.6015  0.5312  0.56
Smith 1975   40  0.4070  0.0051  0.0554  0.0522  0.4746  0.15
Sokolov 2002   39  0.4038  0.0049  0.0555  0.0515  0.4944  0.16
Sztompka 1959   24  0.429  0.0230  0.0927  0.3621  0.4725  0.41
Tomsic 1995   26  0.4216  0.0119  0.0828  0.3610  0.4924  0.42
Uninsky 1932   45  0.3981  0.0058  0.0552  0.0535  0.1866  0.09
Uninsky 1971   14  0.4614  0.0111  0.137  0.567  0.617  0.58
Wasowski 1980   8  0.4811  0.0212  0.1210  0.5410  0.5613  0.55
Zak 1937   67  0.3386  0.0077  0.0459  0.0451  0.0678  0.05
Zak 1951   65  0.3390  0.0076  0.0471  0.0452  0.0582  0.04
Random 1   90  -0.0682  0.0088  0.0288  0.0255  0.0488  0.03
Random 2   88  -0.0380  0.0089  0.0189  0.0174  0.0389  0.02
Random 3   89  -0.0489  0.0090  0.0190  0.0185  0.0290  0.01

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).