Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.1943  0.0077  0.0382  0.0369  0.0487  0.03
Anderszewski 2003   85  0.0836  0.0080  0.0383  0.0378  0.0384  0.03
Ashkenazy 1981   45  0.3280  0.0045  0.0644  0.1268  0.0656  0.08
Bacha 2000   73  0.1973  0.0070  0.0377  0.0349  0.0672  0.04
Badura 1965   76  0.1825  0.0069  0.0468  0.0453  0.0579  0.04
Barbosa 1983   68  0.2149  0.0071  0.0472  0.0471  0.0476  0.04
Biret 1990   67  0.2167  0.0066  0.0465  0.0450  0.0769  0.05
Blet 2003   61  0.2654  0.0062  0.0466  0.0450  0.0861  0.06
Block 1995   9  0.549  0.025  0.1912  0.707  0.7211  0.71
Blumental 1952   77  0.1858  0.0079  0.0471  0.0475  0.0388  0.03
Boshniakovich 1969   12  0.5011  0.0113  0.2416  0.5617  0.5318  0.54
Brailowsky 1960   59  0.2733  0.0055  0.0559  0.0545  0.1253  0.08
Bunin 1987   52  0.2959  0.0057  0.0558  0.0544  0.1357  0.08
Bunin 1987b   53  0.2922  0.0058  0.0563  0.0544  0.1158  0.07
Chiu 1999   36  0.3650  0.0029  0.0824  0.4435  0.3132  0.37
Cohen 1997   33  0.3824  0.0038  0.0842  0.1933  0.3940  0.27
Cortot 1951   37  0.3646  0.0033  0.0729  0.4010  0.6122  0.49
Csalog 1996   26  0.4147  0.0030  0.0627  0.4314  0.5621  0.49
Czerny 1949   86  0.0868  0.0087  0.0381  0.0355  0.0578  0.04
Czerny 1990   78  0.1781  0.0075  0.0380  0.0357  0.0768  0.05
Duchoud 2007   64  0.2445  0.0050  0.0652  0.0668  0.0467  0.05
Ezaki 2006   49  0.3037  0.0051  0.0651  0.0630  0.3743  0.15
Falvay 1989   80  0.166  0.0246  0.0747  0.0745  0.1251  0.09
Farrell 1958   79  0.1652  0.0078  0.0469  0.0441  0.1654  0.08
Ferenczy 1958   88  0.0072  0.0090  0.0288  0.0273  0.0486  0.03
Fliere 1977   1  0.631  0.371  0.372  0.848  0.811  0.82
Fou 1978   55  0.2915  0.0144  0.0645  0.1244  0.1446  0.13
Francois 1956   50  0.3082  0.0067  0.0467  0.0441  0.2252  0.09
Friedman 1923   10  0.5414  0.0110  0.167  0.738  0.774  0.75
Friedman 1923b   11  0.5374  0.0011  0.1911  0.718  0.786  0.74
Friedman 1930   17  0.4516  0.0115  0.1213  0.6114  0.6512  0.63
Garcia 2007   41  0.3412  0.0122  0.0825  0.4424  0.4327  0.43
Garcia 2007b   74  0.1862  0.0073  0.0470  0.0464  0.0580  0.04
Gierzod 1998   46  0.3187  0.0035  0.0933  0.3621  0.5424  0.44
Gornostaeva 1994   16  0.4510  0.0121  0.1121  0.4716  0.6417  0.55
Groot 1988   23  0.4234  0.0024  0.0919  0.4938  0.2238  0.33
Harasiewicz 1955   32  0.3839  0.0039  0.0937  0.3051  0.0647  0.13
Hatto 1993   65  0.2383  0.0068  0.0375  0.0363  0.0770  0.05
Hatto 1997   81  0.1584  0.0084  0.0376  0.0377  0.0385  0.03
Horowitz 1949   30  0.3928  0.0041  0.0839  0.2728  0.4635  0.35
Indjic 1988   71  0.1988  0.0076  0.0379  0.0367  0.0675  0.04
Kapell 1951   75  0.1885  0.0081  0.0385  0.0372  0.0574  0.04
Kissin 1993   43  0.3326  0.0027  0.0631  0.3729  0.5026  0.43
Kushner 1989   28  0.3963  0.0036  0.0734  0.3532  0.3634  0.35
Luisada 1991   51  0.3030  0.0056  0.0557  0.0556  0.0663  0.05
Lushtak 2004   40  0.3469  0.0028  0.0732  0.3710  0.5225  0.44
Malcuzynski 1961   13  0.497  0.027  0.188  0.723  0.7110  0.71
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   39  0.3460  0.0040  0.0840  0.2630  0.4633  0.35
Michalowski 1933   20  0.4317  0.0025  0.0830  0.3830  0.3931  0.38
Milkina 1970   87  0.0375  0.0086  0.0387  0.0371  0.0382  0.03
Mohovich 1999   31  0.3844  0.0034  0.0735  0.3322  0.3736  0.35
Moravec 1969   70  0.2070  0.0065  0.0562  0.0578  0.0373  0.04
Morozova 2008   29  0.3931  0.0023  0.0823  0.4628  0.3329  0.39
Neighaus 1950   15  0.4632  0.0017  0.1217  0.5522  0.3823  0.46
Niedzielski 1931   21  0.4313  0.0137  0.0638  0.2838  0.2142  0.24
Ohlsson 1999   7  0.5421  0.008  0.194  0.764  0.689  0.72
Osinska 1989   6  0.568  0.029  0.209  0.726  0.775  0.74
Pachmann 1927   5  0.594  0.044  0.263  0.791  0.852  0.82
Paderewski 1930   25  0.4123  0.0020  0.1118  0.5119  0.6016  0.55
Perlemuter 1992   3  0.605  0.036  0.235  0.734  0.793  0.76
Pierdomenico 2008   22  0.4229  0.0031  0.0728  0.4213  0.6020  0.50
Poblocka 1999   34  0.3641  0.0026  0.0936  0.3339  0.2439  0.28
Rabcewiczowa 1932   47  0.3142  0.0060  0.0556  0.0537  0.2649  0.11
Rachmaninoff 1923   54  0.2971  0.0059  0.0748  0.0735  0.2345  0.13
Rangell 2001   60  0.2776  0.0053  0.0746  0.0759  0.0562  0.06
Richter 1976   8  0.5451  0.0012  0.2910  0.7219  0.757  0.73
Rosen 1989   4  0.593  0.073  0.306  0.736  0.738  0.73
Rosenthal 1930   58  0.2738  0.0063  0.0561  0.0537  0.3048  0.12
Rosenthal 1931   83  0.1161  0.0082  0.0384  0.0344  0.1659  0.07
Rosenthal 1931b   82  0.1489  0.0083  0.0474  0.0449  0.0771  0.05
Rosenthal 1931c   44  0.3364  0.0042  0.0941  0.2319  0.5137  0.34
Rosenthal 1931d   84  0.1177  0.0085  0.0386  0.0354  0.0490  0.03
Rossi 2007   24  0.4218  0.0018  0.1220  0.482  0.8113  0.62
Rubinstein 1939   69  0.2053  0.0074  0.0378  0.0367  0.0481  0.03
Rubinstein 1952   19  0.4340  0.0019  0.1415  0.5811  0.6115  0.59
Rubinstein 1966   57  0.2755  0.0047  0.0553  0.0569  0.0477  0.04
Schilhawsky 1960   56  0.2765  0.0061  0.0564  0.0539  0.2350  0.11
Shebanova 2002   14  0.4727  0.0016  0.1214  0.6035  0.4419  0.51
Smith 1975   42  0.3478  0.0052  0.0649  0.0631  0.3744  0.15
Sokolov 2002   35  0.3679  0.0043  0.0843  0.1526  0.3941  0.24
Sztompka 1959   18  0.4435  0.0032  0.0926  0.4433  0.3728  0.40
Tomsic 1995   66  0.2257  0.0072  0.0473  0.0483  0.0383  0.03
Uninsky 1932   27  0.4019  0.0014  0.1022  0.4734  0.3230  0.39
Uninsky 1971   48  0.3020  0.0049  0.0650  0.0656  0.0660  0.06
Wasowski 1980   38  0.3556  0.0048  0.0554  0.0554  0.0664  0.05
Zak 1937   62  0.2586  0.0054  0.0560  0.0554  0.0665  0.05
Zak 1951   63  0.2566  0.0064  0.0555  0.0562  0.0566  0.05
Average   2  0.612  0.312  0.461  0.8619  0.4514  0.62
Random 1   90  -0.0290  0.0088  0.0290  0.0246  0.0589  0.03
Random 2   91  -0.0891  0.0091  0.0191  0.0179  0.0391  0.02
Random 3   89  0.0048  0.0089  0.0289  0.0224  0.2955  0.08

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).