Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.346  0.0030  0.0833  0.2824  0.4533  0.35
Anderszewski 2003   59  0.2932  0.0057  0.0855  0.0830  0.2852  0.15
Ashkenazy 1981   3  0.662  0.003  0.423  0.874  0.873  0.87
Bacha 2000   35  0.4027  0.0029  0.0831  0.294  0.6527  0.43
Badura 1965   64  0.2446  0.0066  0.0570  0.0555  0.0474  0.04
Barbosa 1983   25  0.448  0.0020  0.1315  0.533  0.7214  0.62
Biret 1990   72  0.2019  0.0076  0.0382  0.0354  0.0576  0.04
Blet 2003   14  0.4820  0.0016  0.1121  0.5123  0.5424  0.52
Block 1995   46  0.3462  0.0049  0.0952  0.0940  0.1553  0.12
Blumental 1952   24  0.4447  0.0027  0.0924  0.466  0.7118  0.57
Boshniakovich 1969   56  0.3028  0.0051  0.1344  0.1365  0.0555  0.08
Brailowsky 1960   87  0.049  0.0086  0.0288  0.0278  0.0388  0.02
Bunin 1987   53  0.3163  0.0031  0.0839  0.2323  0.4334  0.31
Bunin 1987b   52  0.3164  0.0036  0.1040  0.2229  0.3938  0.29
Chiu 1999   8  0.5422  0.0014  0.1210  0.6115  0.6413  0.62
Cohen 1997   73  0.1965  0.0077  0.0475  0.0468  0.0385  0.03
Cortot 1951   77  0.1766  0.0081  0.0476  0.0464  0.0477  0.04
Csalog 1996   65  0.2448  0.0067  0.0567  0.0558  0.0668  0.05
Czerny 1949   83  0.1167  0.0084  0.0384  0.0353  0.0673  0.04
Czerny 1990   12  0.4933  0.0012  0.1111  0.6011  0.7710  0.68
Duchoud 2007   27  0.4410  0.0021  0.0928  0.3224  0.4530  0.38
Ezaki 2006   71  0.204  0.0071  0.0664  0.0661  0.0561  0.05
Falvay 1989   39  0.3868  0.0046  0.0853  0.0818  0.4048  0.18
Farrell 1958   81  0.1234  0.0073  0.0477  0.0467  0.0471  0.04
Ferenczy 1958   86  0.0449  0.0085  0.0287  0.0264  0.0481  0.03
Fliere 1977   20  0.4515  0.0028  0.0825  0.4331  0.4925  0.46
Fou 1978   31  0.4235  0.0039  0.0935  0.2528  0.3735  0.30
Francois 1956   68  0.2250  0.0070  0.0666  0.0647  0.0760  0.06
Friedman 1923   49  0.3251  0.0060  0.0759  0.0745  0.1254  0.09
Friedman 1923b   51  0.3269  0.0059  0.0665  0.0645  0.1256  0.08
Friedman 1930   18  0.4616  0.0026  0.1023  0.4721  0.5922  0.53
Garcia 2007   47  0.3436  0.0048  0.0856  0.0825  0.4050  0.18
Garcia 2007b   22  0.4523  0.009  0.1313  0.594  0.7612  0.67
Gierzod 1998   70  0.2124  0.0054  0.0758  0.0747  0.0858  0.07
Gornostaeva 1994   74  0.1870  0.0075  0.0478  0.0462  0.0475  0.04
Groot 1988   10  0.5452  0.008  0.158  0.695  0.739  0.71
Harasiewicz 1955   26  0.4471  0.0040  0.1232  0.2830  0.2640  0.27
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.793  0.002  0.822  0.942  0.942  0.94
Horowitz 1949   37  0.3953  0.0035  0.0727  0.3519  0.5726  0.45
Indjic 1988   1  0.961  0.991  0.971  0.991  0.991  0.99
Kapell 1951   7  0.557  0.007  0.189  0.691  0.778  0.73
Kissin 1993   13  0.4954  0.0013  0.1112  0.5910  0.7511  0.67
Kushner 1989   30  0.4311  0.0047  0.0854  0.0827  0.4149  0.18
Luisada 1991   9  0.5425  0.005  0.356  0.746  0.766  0.75
Lushtak 2004   78  0.1572  0.0082  0.0479  0.0488  0.0283  0.03
Malcuzynski 1961   38  0.3937  0.0043  0.0842  0.1724  0.3841  0.25
Magaloff 1978   66  0.2355  0.0056  0.0762  0.0774  0.0464  0.05
Magin 1975   5  0.5756  0.006  0.345  0.781  0.874  0.82
Michalowski 1933   19  0.4673  0.0024  0.0822  0.505  0.6617  0.57
Milkina 1970   34  0.4074  0.0033  0.0734  0.2612  0.6028  0.39
Mohovich 1999   54  0.3021  0.0050  0.0950  0.0929  0.3051  0.16
Moravec 1969   41  0.3738  0.0045  0.0951  0.0924  0.3647  0.18
Morozova 2008   33  0.415  0.0034  0.0729  0.3230  0.2837  0.30
Neighaus 1950   21  0.4539  0.0025  0.1030  0.3133  0.2839  0.29
Niedzielski 1931   15  0.4829  0.0015  0.1316  0.537  0.6516  0.59
Ohlsson 1999   23  0.4412  0.0017  0.1026  0.4123  0.3729  0.39
Osinska 1989   76  0.1740  0.0074  0.0480  0.0465  0.0470  0.04
Pachmann 1927   48  0.3457  0.0052  0.1247  0.1237  0.2946  0.19
Paderewski 1930   17  0.4713  0.0010  0.1319  0.526  0.7215  0.61
Perlemuter 1992   60  0.2741  0.0063  0.0757  0.0769  0.0462  0.05
Pierdomenico 2008   40  0.3858  0.0042  0.1041  0.2113  0.5932  0.35
Poblocka 1999   62  0.2542  0.0058  0.0663  0.0653  0.0563  0.05
Rabcewiczowa 1932   79  0.1375  0.0083  0.0474  0.0477  0.0380  0.03
Rachmaninoff 1923   61  0.2676  0.0064  0.0949  0.0971  0.0365  0.05
Rangell 2001   75  0.1877  0.0065  0.0568  0.0584  0.0286  0.03
Richter 1976   6  0.5626  0.0011  0.147  0.7014  0.787  0.74
Rosen 1989   50  0.3278  0.0055  0.0760  0.0783  0.0369  0.05
Rosenthal 1930   58  0.2917  0.0038  0.0743  0.1635  0.3143  0.22
Rosenthal 1931   80  0.1379  0.0078  0.0473  0.0449  0.0667  0.05
Rosenthal 1931b   82  0.1180  0.0080  0.0481  0.0459  0.0478  0.04
Rosenthal 1931c   67  0.2381  0.0069  0.0569  0.0562  0.0479  0.04
Rosenthal 1931d   84  0.0559  0.0079  0.0383  0.0381  0.0387  0.03
Rossi 2007   90  -0.0782  0.0089  0.0189  0.0186  0.0289  0.01
Rubinstein 1939   42  0.3718  0.0044  0.0645  0.1320  0.3145  0.20
Rubinstein 1952   36  0.3960  0.0041  0.0837  0.2514  0.5531  0.37
Rubinstein 1966   32  0.4283  0.0032  0.0736  0.2522  0.3636  0.30
Schilhawsky 1960   69  0.2184  0.0068  0.0471  0.0450  0.0572  0.04
Shebanova 2002   4  0.5985  0.004  0.254  0.807  0.775  0.78
Smith 1975   63  0.2486  0.0072  0.0472  0.0448  0.0666  0.05
Sokolov 2002   43  0.3687  0.0053  0.1246  0.1227  0.3844  0.21
Sztompka 1959   28  0.4343  0.0022  0.0918  0.5320  0.5223  0.52
Tomsic 1995   29  0.4330  0.0023  0.0920  0.526  0.5619  0.54
Uninsky 1932   11  0.5014  0.0019  0.1514  0.5515  0.5320  0.54
Uninsky 1971   44  0.3531  0.0037  0.0738  0.2430  0.2742  0.25
Wasowski 1980   16  0.4844  0.0018  0.1117  0.5324  0.5421  0.53
Zak 1937   55  0.3045  0.0061  0.0761  0.0755  0.0659  0.06
Zak 1951   57  0.2988  0.0062  0.1048  0.1058  0.0557  0.07
Random 1   88  0.0289  0.0088  0.0285  0.0251  0.0484  0.03
Random 2   85  0.0490  0.0087  0.0286  0.0253  0.0582  0.03
Random 3   89  -0.0661  0.0090  0.0190  0.0178  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).