Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.1940  0.0076  0.0381  0.0368  0.0487  0.03
Anderszewski 2003   84  0.0836  0.0079  0.0382  0.0377  0.0384  0.03
Ashkenazy 1981   44  0.3280  0.0044  0.0643  0.1267  0.0655  0.08
Bacha 2000   72  0.1974  0.0069  0.0376  0.0348  0.0671  0.04
Badura 1965   75  0.1825  0.0068  0.0467  0.0452  0.0578  0.04
Barbosa 1983   67  0.2146  0.0070  0.0471  0.0470  0.0475  0.04
Biret 1990   66  0.2169  0.0065  0.0464  0.0449  0.0768  0.05
Blet 2003   60  0.2655  0.0061  0.0465  0.0449  0.0860  0.06
Block 1995   8  0.548  0.024  0.1911  0.706  0.7211  0.71
Blumental 1952   76  0.1859  0.0078  0.0470  0.0474  0.0479  0.04
Boshniakovich 1969   11  0.5011  0.0112  0.2415  0.5616  0.5317  0.54
Brailowsky 1960   58  0.2733  0.0054  0.0558  0.0544  0.1252  0.08
Bunin 1987   51  0.2941  0.0056  0.0557  0.0543  0.1356  0.08
Bunin 1987b   52  0.2923  0.0057  0.0562  0.0543  0.1157  0.07
Chiu 1999   35  0.3651  0.0028  0.0823  0.4434  0.3131  0.37
Cohen 1997   32  0.3824  0.0037  0.0841  0.1932  0.3939  0.27
Cortot 1951   36  0.3647  0.0032  0.0728  0.409  0.6121  0.49
Csalog 1996   25  0.4148  0.0029  0.0626  0.4313  0.5620  0.49
Czerny 1949   85  0.0870  0.0086  0.0380  0.0354  0.0677  0.04
Czerny 1990   77  0.1760  0.0074  0.0379  0.0356  0.0767  0.05
Duchoud 2007   63  0.2445  0.0049  0.0651  0.0667  0.0466  0.05
Ezaki 2006   48  0.3037  0.0050  0.0650  0.0629  0.3742  0.15
Falvay 1989   79  0.166  0.0345  0.0746  0.0744  0.1250  0.09
Farrell 1958   78  0.1652  0.0077  0.0468  0.0440  0.1653  0.08
Ferenczy 1958   87  0.0073  0.0089  0.0287  0.0272  0.0486  0.03
Fliere 1977   1  0.631  0.501  0.501  0.847  0.811  0.82
Fou 1978   54  0.2912  0.0143  0.0644  0.1243  0.1445  0.13
Francois 1956   49  0.3081  0.0066  0.0466  0.0440  0.2251  0.09
Friedman 1923   9  0.5415  0.019  0.166  0.737  0.774  0.75
Friedman 1923b   10  0.5375  0.0010  0.1910  0.717  0.786  0.74
Friedman 1930   16  0.4516  0.0114  0.1212  0.6113  0.6512  0.63
Garcia 2007   40  0.349  0.0121  0.0824  0.4423  0.4326  0.43
Garcia 2007b   73  0.1864  0.0072  0.0469  0.0463  0.0580  0.04
Gierzod 1998   45  0.3186  0.0034  0.0932  0.3620  0.5423  0.44
Gornostaeva 1994   15  0.4510  0.0120  0.1120  0.4715  0.6416  0.55
Groot 1988   22  0.4227  0.0023  0.1018  0.4937  0.2237  0.33
Harasiewicz 1955   31  0.3839  0.0038  0.0936  0.3050  0.0646  0.13
Hatto 1993   64  0.2382  0.0067  0.0474  0.0462  0.0769  0.05
Hatto 1997   80  0.1583  0.0083  0.0375  0.0376  0.0385  0.03
Horowitz 1949   29  0.3929  0.0040  0.0838  0.2727  0.4634  0.35
Indjic 1988   70  0.1987  0.0075  0.0378  0.0366  0.0674  0.04
Kapell 1951   74  0.1884  0.0080  0.0384  0.0371  0.0573  0.04
Kissin 1993   42  0.3320  0.0026  0.0630  0.3728  0.5025  0.43
Kushner 1989   27  0.3965  0.0035  0.0833  0.3531  0.3633  0.35
Luisada 1991   50  0.3031  0.0055  0.0556  0.0555  0.0662  0.05
Lushtak 2004   39  0.3466  0.0027  0.0731  0.379  0.5224  0.44
Malcuzynski 1961   12  0.492  0.106  0.187  0.722  0.7110  0.71
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   38  0.3461  0.0039  0.0839  0.2629  0.4632  0.35
Michalowski 1933   19  0.4318  0.0024  0.0829  0.3829  0.3930  0.38
Milkina 1970   86  0.0376  0.0085  0.0386  0.0370  0.0382  0.03
Mohovich 1999   30  0.3844  0.0033  0.0734  0.3321  0.3735  0.35
Moravec 1969   69  0.2071  0.0064  0.0561  0.0577  0.0372  0.04
Morozova 2008   28  0.3932  0.0022  0.0822  0.4627  0.3328  0.39
Neighaus 1950   14  0.4630  0.0016  0.1216  0.5521  0.3822  0.46
Niedzielski 1931   20  0.4313  0.0136  0.0637  0.2837  0.2141  0.24
Ohlsson 1999   6  0.5414  0.017  0.193  0.763  0.689  0.72
Osinska 1989   5  0.567  0.028  0.208  0.725  0.775  0.74
Pachmann 1927   4  0.593  0.083  0.262  0.791  0.852  0.82
Paderewski 1930   24  0.4117  0.0019  0.1117  0.5118  0.6015  0.55
Perlemuter 1992   2  0.605  0.055  0.244  0.733  0.793  0.76
Pierdomenico 2008   21  0.4228  0.0030  0.0727  0.4212  0.6019  0.50
Poblocka 1999   33  0.3642  0.0025  0.1035  0.3338  0.2438  0.28
Rabcewiczowa 1932   46  0.3143  0.0059  0.0555  0.0536  0.2648  0.11
Rachmaninoff 1923   53  0.2972  0.0058  0.0747  0.0734  0.2344  0.13
Rangell 2001   59  0.2762  0.0052  0.0745  0.0758  0.0561  0.06
Richter 1976   7  0.5449  0.0011  0.309  0.7218  0.757  0.73
Rosen 1989   3  0.594  0.072  0.305  0.735  0.738  0.73
Rosenthal 1930   57  0.2738  0.0062  0.0560  0.0536  0.3047  0.12
Rosenthal 1931   82  0.1163  0.0081  0.0383  0.0343  0.1658  0.07
Rosenthal 1931b   81  0.1488  0.0082  0.0473  0.0448  0.0770  0.05
Rosenthal 1931c   43  0.3356  0.0041  0.0940  0.2318  0.5136  0.34
Rosenthal 1931d   83  0.1177  0.0084  0.0385  0.0353  0.0489  0.03
Rossi 2007   23  0.4219  0.0017  0.1219  0.482  0.8113  0.62
Rubinstein 1939   68  0.2053  0.0073  0.0377  0.0366  0.0481  0.03
Rubinstein 1952   18  0.4334  0.0018  0.1514  0.5810  0.6114  0.59
Rubinstein 1966   56  0.2754  0.0046  0.0552  0.0568  0.0476  0.04
Schilhawsky 1960   55  0.2767  0.0060  0.0563  0.0538  0.2349  0.11
Shebanova 2002   13  0.4726  0.0015  0.1213  0.6034  0.4418  0.51
Smith 1975   41  0.3478  0.0051  0.0648  0.0630  0.3743  0.15
Sokolov 2002   34  0.3679  0.0042  0.0842  0.1525  0.3940  0.24
Sztompka 1959   17  0.4435  0.0031  0.0925  0.4432  0.3727  0.40
Tomsic 1995   65  0.2258  0.0071  0.0472  0.0482  0.0383  0.03
Uninsky 1932   26  0.4021  0.0013  0.1021  0.4733  0.3229  0.39
Uninsky 1971   47  0.3022  0.0048  0.0649  0.0655  0.0659  0.06
Wasowski 1980   37  0.3557  0.0047  0.0553  0.0553  0.0663  0.05
Zak 1937   61  0.2585  0.0053  0.0559  0.0553  0.0664  0.05
Zak 1951   62  0.2568  0.0063  0.0554  0.0561  0.0565  0.05
Random 1   89  -0.0289  0.0087  0.0289  0.0246  0.0588  0.03
Random 2   90  -0.0890  0.0090  0.0190  0.0178  0.0390  0.02
Random 3   88  0.0050  0.0088  0.0288  0.0224  0.2954  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).