Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.384  0.0048  0.0753  0.0714  0.5147  0.19
Anderszewski 2003   35  0.4246  0.0040  0.0638  0.1719  0.5235  0.30
Ashkenazy 1981   8  0.515  0.0012  0.128  0.625  0.698  0.65
Bacha 2000   38  0.4110  0.0041  0.0734  0.209  0.5932  0.34
Badura 1965   68  0.3461  0.0067  0.0472  0.0447  0.0583  0.04
Barbosa 1983   15  0.4912  0.0014  0.1211  0.616  0.6710  0.64
Biret 1990   52  0.3731  0.0063  0.0561  0.0541  0.2064  0.10
Blet 2003   30  0.4347  0.0020  0.0926  0.3510  0.5325  0.43
Block 1995   58  0.3732  0.0047  0.0756  0.0740  0.1659  0.11
Blumental 1952   7  0.5222  0.008  0.136  0.711  0.793  0.75
Boshniakovich 1969   50  0.3848  0.0044  0.0939  0.1745  0.0957  0.12
Brailowsky 1960   77  0.2833  0.0086  0.0564  0.0549  0.0773  0.06
Bunin 1987   51  0.3723  0.0031  0.0740  0.1711  0.5336  0.30
Bunin 1987b   53  0.3734  0.0033  0.0643  0.1413  0.5039  0.26
Chiu 1999   18  0.4777  0.0027  0.1121  0.418  0.5520  0.47
Cohen 1997   78  0.2878  0.0077  0.0474  0.0445  0.0976  0.06
Cortot 1951   84  0.2662  0.0083  0.0385  0.0350  0.0779  0.05
Csalog 1996   65  0.3516  0.0069  0.0565  0.0546  0.0875  0.06
Czerny 1949   71  0.3149  0.0074  0.0476  0.0440  0.2266  0.09
Czerny 1990   5  0.5363  0.004  0.204  0.747  0.774  0.75
Duchoud 2007   56  0.3750  0.0056  0.0752  0.0720  0.4050  0.17
Ezaki 2006   55  0.373  0.0068  0.0468  0.0460  0.0581  0.04
Falvay 1989   20  0.4735  0.0030  0.0827  0.3119  0.4029  0.35
Farrell 1958   74  0.2964  0.0076  0.0478  0.0454  0.0678  0.05
Ferenczy 1958   81  0.2713  0.0082  0.0381  0.0341  0.2370  0.08
Fliere 1977   11  0.5011  0.0017  0.1413  0.5722  0.4717  0.52
Fou 1978   28  0.4365  0.0039  0.0644  0.1233  0.3046  0.19
Francois 1956   80  0.2727  0.0078  0.0562  0.0544  0.1072  0.07
Friedman 1923   61  0.3679  0.0060  0.0466  0.0426  0.4156  0.13
Friedman 1923b   63  0.3536  0.0061  0.0559  0.0528  0.4055  0.14
Friedman 1930   29  0.4315  0.0032  0.0730  0.2715  0.5628  0.39
Garcia 2007   69  0.3437  0.0052  0.0749  0.0717  0.4251  0.17
Garcia 2007b   27  0.4380  0.0011  0.1116  0.544  0.7411  0.63
Gierzod 1998   33  0.4266  0.0034  0.0629  0.2819  0.4431  0.35
Gornostaeva 1994   72  0.3138  0.0079  0.0383  0.0357  0.0585  0.04
Groot 1988   4  0.5367  0.005  0.285  0.742  0.765  0.75
Harasiewicz 1955   6  0.5328  0.009  0.1410  0.6110  0.5813  0.59
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.882  0.002  0.942  0.982  0.982  0.98
Horowitz 1949   64  0.3551  0.0055  0.0658  0.0615  0.5549  0.18
Indjic 1988   1  0.971  0.991  0.981  1.001  1.001  1.00
Kapell 1951   14  0.4917  0.0015  0.1312  0.598  0.5314  0.56
Kissin 1993   19  0.4768  0.0022  0.0817  0.4917  0.6115  0.55
Kushner 1989   17  0.4839  0.0019  0.1120  0.4424  0.3827  0.41
Luisada 1991   10  0.508  0.006  0.209  0.626  0.679  0.64
Lushtak 2004   66  0.3529  0.0059  0.0469  0.0466  0.0484  0.04
Malcuzynski 1961   23  0.446  0.0018  0.1019  0.4614  0.5219  0.49
Magaloff 1978   44  0.4040  0.0042  0.0735  0.1828  0.2841  0.22
Magin 1975   9  0.5169  0.0010  0.117  0.662  0.757  0.70
Michalowski 1933   76  0.2970  0.0075  0.0467  0.0431  0.2760  0.10
Milkina 1970   13  0.4971  0.0013  0.1315  0.5412  0.6612  0.60
Mohovich 1999   39  0.4172  0.0016  0.1224  0.4023  0.4824  0.44
Moravec 1969   25  0.4420  0.0038  0.0542  0.1515  0.4438  0.26
Morozova 2008   42  0.4052  0.0036  0.0641  0.1633  0.3043  0.22
Neighaus 1950   46  0.3981  0.0035  0.0536  0.1824  0.3740  0.26
Niedzielski 1931   43  0.4014  0.0026  0.1031  0.273  0.6126  0.41
Ohlsson 1999   21  0.4653  0.0024  0.0928  0.3120  0.3633  0.33
Osinska 1989   36  0.4182  0.0053  0.0750  0.0740  0.1758  0.11
Pachmann 1927   82  0.2730  0.0081  0.0382  0.0354  0.0682  0.04
Paderewski 1930   67  0.3441  0.0049  0.0754  0.074  0.6645  0.21
Perlemuter 1992   73  0.3183  0.0065  0.0479  0.0437  0.1868  0.08
Pierdomenico 2008   54  0.3721  0.0050  0.0847  0.086  0.5842  0.22
Poblocka 1999   47  0.3954  0.0051  0.0945  0.0932  0.3052  0.16
Rabcewiczowa 1932   75  0.2984  0.0072  0.0477  0.0452  0.0677  0.05
Rachmaninoff 1923   57  0.3773  0.0057  0.0848  0.0833  0.2654  0.14
Rangell 2001   79  0.2742  0.0073  0.0471  0.0470  0.0387  0.03
Richter 1976   22  0.4524  0.0029  0.0832  0.2522  0.5030  0.35
Rosen 1989   34  0.4274  0.0046  0.0757  0.0740  0.1563  0.10
Rosenthal 1930   59  0.3725  0.0058  0.0563  0.0528  0.4353  0.15
Rosenthal 1931   83  0.2785  0.0080  0.0473  0.0439  0.2361  0.10
Rosenthal 1931b   85  0.2575  0.0084  0.0287  0.0244  0.1180  0.05
Rosenthal 1931c   70  0.3443  0.0071  0.0470  0.0430  0.2565  0.10
Rosenthal 1931d   86  0.2386  0.0085  0.0384  0.0349  0.0686  0.04
Rossi 2007   87  0.0887  0.0087  0.0288  0.0280  0.0288  0.02
Rubinstein 1939   32  0.427  0.0037  0.0633  0.2015  0.4734  0.31
Rubinstein 1952   26  0.4388  0.0028  0.0723  0.4015  0.5522  0.47
Rubinstein 1966   12  0.5044  0.007  0.1614  0.5415  0.5516  0.54
Schilhawsky 1960   62  0.3589  0.0066  0.0475  0.0431  0.2562  0.10
Shebanova 2002   3  0.5519  0.003  0.453  0.755  0.706  0.72
Smith 1975   60  0.3655  0.0070  0.0480  0.0441  0.1371  0.07
Sokolov 2002   31  0.4256  0.0054  0.0751  0.0716  0.4848  0.18
Sztompka 1959   40  0.4145  0.0023  0.1125  0.3816  0.5623  0.46
Tomsic 1995   37  0.4157  0.0045  0.0946  0.0911  0.4844  0.21
Uninsky 1932   48  0.3826  0.0043  0.0737  0.1719  0.4637  0.28
Uninsky 1971   24  0.4458  0.0025  0.0922  0.4010  0.5521  0.47
Wasowski 1980   16  0.4859  0.0021  0.1318  0.4819  0.5018  0.49
Zak 1937   41  0.409  0.0062  0.0560  0.0543  0.1269  0.08
Zak 1951   45  0.4018  0.0064  0.0755  0.0751  0.0674  0.06
Random 1   89  -0.0376  0.0089  0.0289  0.0264  0.0389  0.02
Random 2   88  0.0690  0.0088  0.0386  0.0327  0.2567  0.09
Random 3   90  -0.0860  0.0090  0.0190  0.0158  0.0390  0.02

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).