Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.718  0.0232  0.0828  0.3066  0.0440  0.11
Anderszewski 2003   28  0.6749  0.0024  0.0931  0.2741  0.1634  0.21
Ashkenazy 1981   31  0.6626  0.0052  0.0556  0.0564  0.0476  0.04
Bacha 2000   27  0.6721  0.0128  0.0834  0.2212  0.3929  0.29
Badura 1965   66  0.5174  0.0084  0.0563  0.0573  0.0475  0.04
Barbosa 1983   43  0.6439  0.0033  0.0639  0.1716  0.3332  0.24
Biret 1990   2  0.752  0.112  0.313  0.584  0.574  0.57
Blet 2003   62  0.5547  0.0058  0.0558  0.0554  0.0660  0.05
Block 1995   63  0.5456  0.0037  0.0538  0.1823  0.2335  0.20
Blumental 1952   16  0.7181  0.0026  0.0714  0.4527  0.1830  0.28
Boshniakovich 1969   65  0.5245  0.0063  0.0465  0.0447  0.0764  0.05
Brailowsky 1960   25  0.6782  0.0031  0.0730  0.288  0.4622  0.36
Bunin 1987   86  0.2560  0.0087  0.0475  0.0473  0.0477  0.04
Bunin 1987b   87  0.2571  0.0086  0.0380  0.0379  0.0381  0.03
Chiu 1999   14  0.7172  0.0042  0.0740  0.1719  0.2833  0.22
Cohen 1997   56  0.5761  0.0076  0.0469  0.0420  0.3141  0.11
Cortot 1951   52  0.6127  0.0055  0.0559  0.0532  0.2245  0.10
Csalog 1996   85  0.3186  0.0078  0.0477  0.0453  0.0471  0.04
Czerny 1949   61  0.5511  0.0250  0.0557  0.0568  0.0474  0.04
Czerny 1990   6  0.7310  0.025  0.114  0.5516  0.3613  0.44
Duchoud 2007   67  0.5151  0.0072  0.0383  0.0344  0.1063  0.05
Ezaki 2006   5  0.747  0.0321  0.0721  0.3932  0.2128  0.29
Falvay 1989   23  0.6822  0.0130  0.0632  0.264  0.5621  0.38
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   74  0.4687  0.0082  0.0468  0.0482  0.0385  0.03
Fliere 1977   33  0.6523  0.0147  0.1244  0.1265  0.0453  0.07
Fou 1978   13  0.7159  0.0014  0.088  0.5121  0.3315  0.41
Francois 1956   37  0.6515  0.0117  0.0825  0.3312  0.4720  0.39
Friedman 1923   45  0.6353  0.0068  0.0655  0.0677  0.0379  0.04
Friedman 1923b   44  0.6440  0.0067  0.0466  0.0478  0.0387  0.03
Friedman 1930   49  0.6237  0.0066  0.0384  0.0360  0.0573  0.04
Garcia 2007   11  0.7217  0.0113  0.075  0.539  0.525  0.52
Garcia 2007b   40  0.6519  0.0120  0.0718  0.4319  0.4114  0.42
Gierzod 1998   46  0.6358  0.0045  0.0946  0.0953  0.0554  0.07
Gornostaeva 1994   59  0.5675  0.0059  0.0749  0.0762  0.0465  0.05
Groot 1988   7  0.734  0.073  0.132  0.592  0.622  0.60
Harasiewicz 1955   39  0.6546  0.0039  0.0645  0.1176  0.0455  0.07
Hatto 1993   32  0.6573  0.0061  0.0467  0.0471  0.0478  0.04
Hatto 1997   36  0.6555  0.0062  0.0748  0.0771  0.0461  0.05
Horowitz 1949   69  0.5078  0.0070  0.0474  0.0464  0.0567  0.04
Indjic 1988   34  0.6590  0.0060  0.0560  0.0571  0.0470  0.04
Kapell 1951   73  0.4768  0.0056  0.0653  0.0655  0.0559  0.05
Kissin 1993   41  0.6544  0.0029  0.0827  0.3152  0.0439  0.11
Kushner 1989   21  0.6825  0.0125  0.0813  0.4824  0.3317  0.40
Luisada 1991   17  0.7162  0.0041  0.0737  0.1959  0.0544  0.10
Lushtak 2004   1  0.7720  0.0110  0.076  0.528  0.3712  0.44
Malcuzynski 1961   72  0.4750  0.0069  0.0387  0.0358  0.0482  0.03
Magaloff 1978   10  0.7232  0.004  0.1310  0.501  0.653  0.57
Magin 1975   60  0.5579  0.0051  0.0654  0.0666  0.0458  0.05
Michalowski 1933   79  0.4188  0.0083  0.0472  0.0477  0.0383  0.03
Milkina 1970   22  0.6880  0.0016  0.0812  0.4916  0.4110  0.45
Mohovich 1999   19  0.7070  0.006  0.159  0.5116  0.469  0.48
Moravec 1969   64  0.5457  0.0054  0.0562  0.0522  0.4038  0.14
Morozova 2008   24  0.6838  0.0046  0.0847  0.0848  0.0556  0.06
Neighaus 1950   30  0.666  0.0335  0.0636  0.1937  0.1337  0.16
Niedzielski 1931   54  0.5929  0.0049  0.0651  0.0679  0.0366  0.04
Ohlsson 1999   42  0.6418  0.0148  0.0650  0.0642  0.1348  0.09
Osinska 1989   3  0.751  0.341  0.341  0.643  0.621  0.63
Pachmann 1927   70  0.4930  0.0080  0.0470  0.0446  0.0569  0.04
Paderewski 1930   51  0.6269  0.0034  0.0626  0.3216  0.3824  0.35
Perlemuter 1992   20  0.695  0.0412  0.0724  0.3519  0.3225  0.33
Pierdomenico 2008   58  0.579  0.0222  0.0722  0.351  0.668  0.48
Poblocka 1999   76  0.4235  0.0071  0.0382  0.0377  0.0380  0.03
Rabcewiczowa 1932   47  0.6333  0.0019  0.0929  0.3011  0.3426  0.32
Rachmaninoff 1923   8  0.7313  0.0211  0.0717  0.4413  0.3616  0.40
Rangell 2001   82  0.3641  0.0038  0.0743  0.1429  0.2636  0.19
Richter 1976   84  0.3431  0.0085  0.0473  0.0469  0.0468  0.04
Rosen 1989   48  0.6289  0.0040  0.0635  0.2068  0.0450  0.09
Rosenthal 1930   80  0.3983  0.0077  0.0381  0.0381  0.0386  0.03
Rosenthal 1931   78  0.4136  0.0074  0.0385  0.0325  0.2849  0.09
Rosenthal 1931b   77  0.4276  0.0064  0.0471  0.0422  0.2843  0.11
Rosenthal 1931c   81  0.3842  0.0075  0.0476  0.0426  0.2446  0.10
Rosenthal 1931d   75  0.4384  0.0073  0.0479  0.0422  0.3342  0.11
Rossi 2007   15  0.7124  0.0123  0.0916  0.444  0.566  0.50
Rubinstein 1939   9  0.7343  0.008  0.0711  0.496  0.507  0.49
Rubinstein 1952   53  0.5928  0.0015  0.0923  0.3519  0.4419  0.39
Rubinstein 1966   4  0.7412  0.029  0.0715  0.459  0.4611  0.45
Schilhawsky 1960   68  0.5065  0.0065  0.0478  0.0471  0.0472  0.04
Shebanova 2002   26  0.673  0.087  0.0819  0.4239  0.1831  0.27
Smith 1975   29  0.6667  0.0027  0.0720  0.4011  0.3918  0.39
Sokolov 2002   57  0.5716  0.0153  0.0652  0.0643  0.1151  0.08
Sztompka 1959   12  0.7214  0.0118  0.087  0.5236  0.1727  0.30
Tomsic 1995   55  0.5948  0.0036  0.0533  0.2311  0.5323  0.35
Uninsky 1932   71  0.4877  0.0079  0.0564  0.0563  0.0562  0.05
Uninsky 1971   83  0.3463  0.0081  0.0386  0.0371  0.0484  0.03
Wasowski 1980   50  0.6264  0.0057  0.0561  0.0557  0.0657  0.05
Zak 1937   38  0.6534  0.0043  0.0741  0.1656  0.0452  0.08
Zak 1951   35  0.6552  0.0044  0.0842  0.1552  0.0547  0.09
Random 1   90  -0.2585  0.0090  0.0190  0.0164  0.0389  0.02
Random 2   88  -0.0666  0.0088  0.0188  0.0148  0.0488  0.02
Random 3   89  -0.1554  0.0089  0.0189  0.0150  0.0590  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).