Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  0.3382  0.0072  0.0383  0.0339  0.1765  0.07
Anderszewski 2003   75  0.3144  0.0073  0.0385  0.0357  0.0578  0.04
Ashkenazy 1981   60  0.3587  0.0069  0.0386  0.0363  0.0681  0.04
Bacha 2000   74  0.3158  0.0075  0.0378  0.0346  0.0768  0.05
Badura 1965   80  0.2961  0.0079  0.0387  0.0359  0.0489  0.03
Barbosa 1983   44  0.3928  0.0047  0.0553  0.0559  0.0672  0.05
Biret 1990   49  0.3732  0.0056  0.0554  0.0535  0.3351  0.13
Blet 2003   79  0.2973  0.0085  0.0467  0.0474  0.0387  0.03
Block 1995   11  0.4735  0.0020  0.1016  0.4822  0.4816  0.48
Blumental 1952   53  0.3669  0.0063  0.0548  0.0552  0.0673  0.05
Boshniakovich 1969   10  0.477  0.013  0.1411  0.5520  0.4814  0.51
Brailowsky 1960   27  0.4210  0.0140  0.0638  0.1822  0.5530  0.31
Bunin 1987   64  0.3388  0.0061  0.0552  0.0541  0.1461  0.08
Bunin 1987b   70  0.3389  0.0060  0.0466  0.0446  0.0966  0.06
Chiu 1999   35  0.4070  0.0025  0.0825  0.3819  0.4225  0.40
Cohen 1997   61  0.3437  0.0076  0.0373  0.0334  0.3956  0.11
Cortot 1951   37  0.4041  0.0030  0.0627  0.333  0.7117  0.48
Csalog 1996   40  0.3920  0.0034  0.0635  0.2230  0.2338  0.22
Czerny 1949   78  0.2955  0.0074  0.0381  0.0343  0.1960  0.08
Czerny 1990   58  0.3542  0.0038  0.0642  0.1441  0.1749  0.15
Duchoud 2007   82  0.2884  0.0084  0.0371  0.0355  0.0680  0.04
Ezaki 2006   22  0.4217  0.0031  0.0632  0.2739  0.3432  0.30
Falvay 1989   63  0.334  0.0149  0.0557  0.0569  0.0570  0.05
Farrell 1958   76  0.3185  0.0071  0.0288  0.0264  0.0584  0.03
Ferenczy 1958   88  0.1960  0.0088  0.0368  0.0364  0.0579  0.04
Fliere 1977   2  0.602  0.052  0.652  0.852  0.781  0.81
Fou 1978   46  0.3824  0.0048  0.0461  0.0445  0.1164  0.07
Francois 1956   67  0.3367  0.0077  0.0369  0.0326  0.3257  0.10
Friedman 1923   24  0.4252  0.0024  0.1020  0.4011  0.6415  0.51
Friedman 1923b   28  0.4215  0.0122  0.1024  0.3815  0.5818  0.47
Friedman 1930   55  0.3657  0.0042  0.0639  0.1529  0.3737  0.24
Garcia 2007   83  0.2874  0.0068  0.0379  0.0370  0.0488  0.03
Garcia 2007b   84  0.2880  0.0070  0.0382  0.0352  0.0583  0.04
Gierzod 1998   17  0.4433  0.0013  0.1612  0.5314  0.5412  0.53
Gornostaeva 1994   13  0.465  0.0119  0.1121  0.3918  0.5420  0.46
Groot 1988   15  0.4536  0.0012  0.1815  0.4920  0.4121  0.45
Harasiewicz 1955   12  0.4647  0.0017  0.0813  0.5138  0.2227  0.33
Hatto 1993   39  0.4068  0.0029  0.0629  0.2836  0.1839  0.22
Hatto 1997   56  0.3564  0.0050  0.0549  0.0541  0.1459  0.08
Horowitz 1949   50  0.3781  0.0064  0.0550  0.0522  0.5044  0.16
Indjic 1988   47  0.3862  0.0045  0.0740  0.1443  0.1646  0.15
Kapell 1951   71  0.3375  0.0081  0.0374  0.0363  0.0576  0.04
Kissin 1993   34  0.4019  0.0028  0.0728  0.3225  0.5324  0.41
Kushner 1989   16  0.4465  0.0026  0.0723  0.3946  0.0942  0.19
Luisada 1991   51  0.3722  0.0065  0.0555  0.0569  0.0569  0.05
Lushtak 2004   26  0.4221  0.0014  0.1814  0.5016  0.5313  0.51
Malcuzynski 1961   8  0.4918  0.005  0.163  0.707  0.632  0.66
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   38  0.4072  0.0046  0.0746  0.0735  0.3145  0.15
Michalowski 1933   65  0.339  0.0141  0.0641  0.1412  0.4735  0.26
Milkina 1970   81  0.2878  0.0066  0.0370  0.0354  0.0677  0.04
Mohovich 1999   41  0.3959  0.0055  0.0747  0.0776  0.0474  0.05
Moravec 1969   52  0.3639  0.0051  0.0460  0.0445  0.1162  0.07
Morozova 2008   20  0.4338  0.0023  0.0918  0.4427  0.4222  0.43
Neighaus 1950   32  0.4126  0.0035  0.0731  0.2824  0.3729  0.32
Niedzielski 1931   59  0.3529  0.0057  0.0463  0.0448  0.0575  0.04
Ohlsson 1999   6  0.4912  0.018  0.137  0.627  0.546  0.58
Osinska 1989   3  0.5323  0.004  0.144  0.6911  0.624  0.65
Pachmann 1927   19  0.433  0.0215  0.1017  0.445  0.6411  0.53
Paderewski 1930   77  0.3014  0.0144  0.0645  0.1215  0.5634  0.26
Perlemuter 1992   23  0.4230  0.0043  0.0543  0.1217  0.4736  0.24
Pierdomenico 2008   57  0.3556  0.0052  0.0464  0.0424  0.3953  0.12
Poblocka 1999   14  0.4527  0.0021  0.1022  0.3928  0.4323  0.41
Rabcewiczowa 1932   45  0.3946  0.0033  0.0644  0.1233  0.3340  0.20
Rachmaninoff 1923   36  0.4034  0.0016  0.0933  0.2627  0.3831  0.31
Rangell 2001   68  0.3390  0.0078  0.0377  0.0349  0.0682  0.04
Richter 1976   5  0.5153  0.007  0.195  0.6612  0.663  0.66
Rosen 1989   4  0.516  0.016  0.149  0.567  0.5710  0.56
Rosenthal 1930   48  0.3854  0.0058  0.0465  0.0416  0.6048  0.15
Rosenthal 1931   85  0.2679  0.0082  0.0376  0.0333  0.3955  0.11
Rosenthal 1931b   86  0.2691  0.0087  0.0558  0.0536  0.2954  0.12
Rosenthal 1931c   30  0.4131  0.0027  0.0626  0.347  0.6619  0.47
Rosenthal 1931d   87  0.2676  0.0086  0.0380  0.0330  0.2758  0.09
Rossi 2007   54  0.3640  0.0053  0.0462  0.046  0.6143  0.16
Rubinstein 1939   62  0.3463  0.0062  0.0459  0.0439  0.1363  0.07
Rubinstein 1952   9  0.4811  0.0110  0.128  0.6119  0.539  0.57
Rubinstein 1966   33  0.4045  0.0036  0.0530  0.2847  0.0847  0.15
Schilhawsky 1960   42  0.3966  0.0054  0.0551  0.0519  0.3950  0.14
Shebanova 2002   7  0.4916  0.019  0.126  0.6318  0.528  0.57
Smith 1975   25  0.4271  0.0037  0.0636  0.2017  0.5228  0.32
Sokolov 2002   43  0.3950  0.0059  0.0556  0.0535  0.3052  0.12
Sztompka 1959   21  0.4325  0.0039  0.0534  0.2536  0.3233  0.28
Tomsic 1995   73  0.3243  0.0083  0.0384  0.0372  0.0486  0.03
Uninsky 1932   18  0.4313  0.0111  0.1310  0.5613  0.587  0.57
Uninsky 1971   29  0.428  0.0118  0.0919  0.4129  0.3526  0.38
Wasowski 1980   31  0.4149  0.0032  0.0637  0.1937  0.2041  0.19
Zak 1937   66  0.3348  0.0067  0.0372  0.0346  0.0871  0.05
Zak 1951   72  0.3277  0.0080  0.0375  0.0380  0.0485  0.03
Average   1  0.651  0.761  0.751  0.9020  0.465  0.64
Random 1   91  -0.0786  0.0091  0.0191  0.0170  0.0291  0.01
Random 2   89  0.0283  0.0089  0.0190  0.0158  0.0590  0.02
Random 3   90  -0.0151  0.0090  0.0189  0.0116  0.3667  0.06

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).