Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.2984  0.0056  0.0556  0.0583  0.0370  0.04
Anderszewski 2003   43  0.3360  0.0022  0.0721  0.4932  0.3515  0.41
Ashkenazy 1981   61  0.2861  0.0079  0.0287  0.0276  0.0483  0.03
Bacha 2000   52  0.3030  0.0045  0.0650  0.0627  0.2739  0.13
Badura 1965   66  0.2664  0.0055  0.0559  0.0556  0.0471  0.04
Barbosa 1983   10  0.423  0.097  0.167  0.5945  0.1024  0.24
Biret 1990   54  0.3032  0.0050  0.0745  0.0757  0.0553  0.06
Blet 2003   72  0.2645  0.0068  0.0465  0.0479  0.0379  0.03
Block 1995   46  0.3244  0.0051  0.0553  0.0564  0.0472  0.04
Blumental 1952   69  0.2676  0.0080  0.0286  0.0279  0.0482  0.03
Boshniakovich 1969   3  0.441  0.331  0.322  0.6616  0.554  0.60
Brailowsky 1960   64  0.2674  0.0072  0.0375  0.0371  0.0562  0.04
Bunin 1987   50  0.3138  0.0057  0.0651  0.0660  0.0561  0.05
Bunin 1987b   57  0.2983  0.0061  0.0462  0.0459  0.0566  0.04
Chiu 1999   39  0.3412  0.0240  0.0941  0.1966  0.0445  0.09
Cohen 1997   36  0.3547  0.0032  0.0731  0.3922  0.5312  0.45
Cortot 1951   20  0.396  0.039  0.169  0.573  0.692  0.63
Csalog 1996   82  0.2182  0.0083  0.0377  0.0375  0.0478  0.03
Czerny 1949   21  0.394  0.084  0.185  0.6318  0.661  0.64
Czerny 1990   17  0.399  0.0326  0.0734  0.3643  0.1427  0.22
Duchoud 2007   37  0.3524  0.0041  0.0840  0.1927  0.3125  0.24
Ezaki 2006   18  0.3910  0.026  0.154  0.6422  0.515  0.57
Falvay 1989   29  0.3751  0.0030  0.0829  0.4166  0.0536  0.14
Farrell 1958   6  0.4216  0.015  0.176  0.636  0.573  0.60
Ferenczy 1958   76  0.2468  0.0063  0.0464  0.0439  0.2843  0.11
Fliere 1977   31  0.3731  0.0029  0.0625  0.4656  0.0630  0.17
Fou 1978   26  0.3839  0.0024  0.0819  0.5247  0.0629  0.18
Francois 1956   56  0.2950  0.0043  0.0843  0.1722  0.4323  0.27
Friedman 1923   53  0.3014  0.0149  0.0746  0.0755  0.0655  0.06
Friedman 1923b   51  0.3022  0.0048  0.0647  0.0646  0.0752  0.06
Friedman 1930   68  0.2640  0.0066  0.0468  0.0471  0.0468  0.04
Garcia 2007   7  0.4262  0.0017  0.0911  0.5511  0.566  0.55
Garcia 2007b   74  0.2553  0.0070  0.0467  0.0459  0.0574  0.04
Gierzod 1998   25  0.3823  0.0031  0.0830  0.4143  0.1128  0.21
Gornostaeva 1994   35  0.3542  0.0025  0.0823  0.4830  0.3614  0.42
Groot 1988   79  0.2385  0.0069  0.0552  0.0582  0.0373  0.04
Harasiewicz 1955   2  0.465  0.073  0.201  0.7030  0.3311  0.48
Hatto 1993   62  0.2746  0.0064  0.0370  0.0371  0.0485  0.03
Hatto 1997   65  0.2681  0.0065  0.0560  0.0578  0.0469  0.04
Horowitz 1949   73  0.2563  0.0082  0.0282  0.0280  0.0388  0.02
Indjic 1988   71  0.2667  0.0067  0.0555  0.0574  0.0467  0.04
Kapell 1951   4  0.4311  0.0216  0.0720  0.5054  0.0631  0.17
Kissin 1993   40  0.3469  0.0052  0.0558  0.0573  0.0558  0.05
Kushner 1989   12  0.4026  0.0018  0.0813  0.5542  0.1026  0.23
Luisada 1991   58  0.2957  0.0071  0.0378  0.0374  0.0475  0.03
Lushtak 2004   11  0.418  0.038  0.128  0.5920  0.507  0.54
Malcuzynski 1961   27  0.3735  0.0033  0.0933  0.3862  0.0537  0.14
Magaloff 1978   44  0.3341  0.0054  0.0648  0.0676  0.0363  0.04
Magin 1975   84  0.2089  0.0084  0.0283  0.0281  0.0387  0.02
Michalowski 1933   87  0.1479  0.0087  0.0373  0.0376  0.0377  0.03
Milkina 1970   34  0.3659  0.0014  0.0717  0.5331  0.3613  0.44
Mohovich 1999   24  0.3813  0.0113  0.0718  0.5338  0.2520  0.36
Moravec 1969   30  0.3727  0.0046  0.0649  0.0650  0.0650  0.06
Morozova 2008   22  0.3820  0.0115  0.0714  0.5436  0.2618  0.37
Neighaus 1950   5  0.4318  0.0110  0.1910  0.557  0.538  0.54
Niedzielski 1931   78  0.2486  0.0075  0.0374  0.0382  0.0376  0.03
Ohlsson 1999   42  0.3436  0.0044  0.0644  0.1159  0.0448  0.07
Osinska 1989   16  0.4033  0.0011  0.0912  0.5534  0.2617  0.38
Pachmann 1927   48  0.3254  0.0053  0.0557  0.0537  0.1746  0.09
Paderewski 1930   60  0.2875  0.0047  0.0554  0.0534  0.3440  0.13
Perlemuter 1992   55  0.3088  0.0062  0.0469  0.0447  0.0656  0.05
Pierdomenico 2008   49  0.3173  0.0074  0.0376  0.0350  0.0565  0.04
Poblocka 1999   23  0.3849  0.0035  0.1232  0.3957  0.0535  0.14
Rabcewiczowa 1932   32  0.3728  0.0020  0.1016  0.5421  0.5110  0.52
Rachmaninoff 1923   80  0.2390  0.0081  0.0372  0.0384  0.0286  0.02
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   28  0.3758  0.0038  0.0838  0.2361  0.0542  0.11
Rosen 1989   13  0.4017  0.0119  0.0915  0.5437  0.1722  0.30
Rosenthal 1930   70  0.2621  0.0186  0.0371  0.0372  0.0481  0.03
Rosenthal 1931   83  0.2029  0.0077  0.0280  0.0243  0.1559  0.05
Rosenthal 1931b   81  0.2287  0.0076  0.0281  0.0241  0.1754  0.06
Rosenthal 1931c   67  0.2665  0.0060  0.0463  0.0444  0.1249  0.07
Rosenthal 1931d   85  0.2077  0.0085  0.0284  0.0255  0.0584  0.03
Rossi 2007   86  0.1978  0.0073  0.0279  0.0238  0.2051  0.06
Rubinstein 1939   38  0.3555  0.0023  0.0827  0.4526  0.2919  0.36
Rubinstein 1952   47  0.3248  0.0042  0.0642  0.1757  0.0547  0.09
Rubinstein 1966   1  0.472  0.112  0.203  0.6622  0.439  0.53
Schilhawsky 1960   75  0.2580  0.0078  0.0285  0.0265  0.0480  0.03
Shebanova 2002   9  0.427  0.0312  0.0826  0.4562  0.0632  0.16
Smith 1975   77  0.2452  0.0059  0.0466  0.0457  0.0564  0.04
Sokolov 2002   63  0.2734  0.0058  0.0561  0.0557  0.0557  0.05
Sztompka 1959   19  0.3915  0.0134  0.0935  0.3447  0.0734  0.15
Tomsic 1995   45  0.3366  0.0036  0.0837  0.2649  0.0838  0.14
Uninsky 1932   33  0.3737  0.0039  0.1039  0.2369  0.0444  0.10
Uninsky 1971   41  0.3470  0.0037  0.0836  0.2760  0.0541  0.12
Wasowski 1980   14  0.4025  0.0027  0.0924  0.4767  0.0533  0.15
Zak 1937   8  0.4219  0.0121  0.0822  0.4827  0.3116  0.39
Zak 1951   15  0.4043  0.0028  0.1028  0.4326  0.2721  0.34
Random 1   90  -0.0872  0.0090  0.0190  0.0180  0.0290  0.01
Random 2   88  0.0371  0.0088  0.0288  0.0241  0.1260  0.05
Random 3   89  -0.0656  0.0089  0.0189  0.0171  0.0389  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).