Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.2176  0.0078  0.0479  0.0483  0.0382  0.03
Anderszewski 2003   80  0.1583  0.0083  0.0471  0.0473  0.0471  0.04
Ashkenazy 1981   10  0.538  0.0110  0.216  0.7720  0.678  0.72
Bacha 2000   71  0.2184  0.0063  0.0476  0.0463  0.0569  0.04
Badura 1965   42  0.3724  0.0049  0.0752  0.0724  0.4646  0.18
Barbosa 1983   51  0.3277  0.0048  0.0657  0.0641  0.1350  0.09
Biret 1990   63  0.2464  0.0066  0.0567  0.0549  0.0859  0.06
Blet 2003   12  0.5038  0.0013  0.1924  0.566  0.6818  0.62
Block 1995   15  0.4871  0.0029  0.1026  0.5525  0.4728  0.51
Blumental 1952   60  0.2610  0.0154  0.0658  0.0638  0.1949  0.11
Boshniakovich 1969   24  0.4445  0.0027  0.0921  0.6018  0.5324  0.56
Brailowsky 1960   76  0.1746  0.0070  0.0565  0.0547  0.1053  0.07
Bunin 1987   35  0.4027  0.0018  0.1420  0.607  0.6519  0.62
Bunin 1987b   34  0.4139  0.0017  0.1319  0.607  0.6516  0.62
Chiu 1999   8  0.5453  0.0011  0.158  0.7414  0.669  0.70
Cohen 1997   68  0.2262  0.0072  0.0473  0.0478  0.0284  0.03
Cortot 1951   64  0.2472  0.0064  0.0469  0.0462  0.0573  0.04
Csalog 1996   43  0.3754  0.0053  0.1146  0.1132  0.3244  0.19
Czerny 1949   84  0.0589  0.0088  0.0289  0.0261  0.0580  0.03
Czerny 1990   37  0.3926  0.0035  0.0937  0.3930  0.5135  0.45
Duchoud 2007   38  0.3930  0.0033  0.1035  0.4221  0.4736  0.44
Ezaki 2006   66  0.2365  0.0068  0.0661  0.0659  0.0560  0.05
Falvay 1989   77  0.1685  0.0081  0.0478  0.0484  0.0276  0.03
Farrell 1958   72  0.2066  0.0067  0.0566  0.0544  0.1054  0.07
Ferenczy 1958   91  -0.1390  0.0091  0.0191  0.0189  0.0291  0.01
Fliere 1977   4  0.6135  0.005  0.245  0.8310  0.794  0.81
Fou 1978   53  0.3050  0.0056  0.0654  0.0663  0.0462  0.05
Francois 1956   75  0.1733  0.0074  0.0380  0.0367  0.0386  0.03
Friedman 1923   1  0.732  0.352  0.701  0.932  0.902  0.91
Friedman 1923b   2  0.731  0.371  0.372  0.932  0.911  0.92
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   44  0.3744  0.0039  0.1136  0.4035  0.3640  0.38
Garcia 2007b   50  0.3234  0.0047  0.1047  0.1031  0.3545  0.19
Gierzod 1998   78  0.1540  0.0069  0.0468  0.0461  0.0572  0.04
Gornostaeva 1994   67  0.2217  0.0062  0.0659  0.0662  0.0466  0.05
Groot 1988   18  0.4643  0.0030  0.1518  0.6124  0.3930  0.49
Harasiewicz 1955   31  0.4211  0.0143  0.0743  0.1874  0.0452  0.08
Hatto 1993   20  0.4622  0.0025  0.1122  0.5924  0.4727  0.53
Hatto 1997   49  0.3555  0.0052  0.0948  0.0942  0.1448  0.11
Horowitz 1949   13  0.4937  0.0012  0.1610  0.715  0.755  0.73
Indjic 1988   19  0.4651  0.0024  0.1316  0.6223  0.5521  0.58
Kapell 1951   16  0.4828  0.0014  0.1212  0.668  0.6314  0.64
Kissin 1993   47  0.3657  0.0036  0.0940  0.3631  0.4737  0.41
Kushner 1989   46  0.3673  0.0051  0.0949  0.0951  0.0751  0.08
Luisada 1991   36  0.3974  0.0042  0.1242  0.2847  0.1047  0.17
Lushtak 2004   57  0.2867  0.0057  0.0850  0.0858  0.0557  0.06
Malcuzynski 1961   21  0.4523  0.0031  0.1328  0.5417  0.5525  0.54
Magaloff 1978   22  0.4514  0.0016  0.1214  0.6513  0.6115  0.63
Magin 1975   23  0.4419  0.0023  0.1125  0.5518  0.6620  0.60
Michalowski 1933   33  0.4216  0.0034  0.0933  0.4422  0.4634  0.45
Milkina 1970   87  0.0086  0.0087  0.0288  0.0290  0.0288  0.02
Mohovich 1999   73  0.1878  0.0080  0.0383  0.0384  0.0289  0.02
Moravec 1969   56  0.2891  0.0058  0.0660  0.0661  0.0461  0.05
Morozova 2008   30  0.4218  0.0021  0.1429  0.5321  0.4131  0.47
Neighaus 1950   28  0.4268  0.0038  0.1134  0.4440  0.1742  0.27
Niedzielski 1931   39  0.3963  0.0026  0.1031  0.5221  0.4629  0.49
Ohlsson 1999   9  0.5412  0.009  0.2313  0.667  0.6412  0.65
Osinska 1989   59  0.2879  0.0060  0.0562  0.0547  0.0855  0.06
Pachmann 1927   14  0.4969  0.0015  0.1215  0.6313  0.7011  0.66
Paderewski 1930   17  0.479  0.0122  0.1117  0.6215  0.6317  0.62
Perlemuter 1992   29  0.4260  0.0040  0.1539  0.3928  0.5233  0.45
Pierdomenico 2008   41  0.3831  0.0045  0.0845  0.1535  0.2343  0.19
Poblocka 1999   40  0.3880  0.0037  0.1138  0.3925  0.3839  0.38
Rabcewiczowa 1932   82  0.1275  0.0085  0.0286  0.0282  0.0387  0.02
Rachmaninoff 1923   27  0.4315  0.0020  0.1127  0.5518  0.6022  0.57
Rangell 2001   61  0.2661  0.0061  0.0753  0.0760  0.0558  0.06
Richter 1976   5  0.616  0.034  0.234  0.838  0.813  0.82
Rosen 1989   26  0.4432  0.0028  0.1123  0.5926  0.4926  0.54
Rosenthal 1930   62  0.2536  0.0065  0.0477  0.0450  0.0665  0.05
Rosenthal 1931   86  0.0325  0.0084  0.0474  0.0463  0.0470  0.04
Rosenthal 1931b   83  0.0881  0.0077  0.0470  0.0452  0.0667  0.05
Rosenthal 1931c   74  0.1847  0.0071  0.0563  0.0557  0.0474  0.04
Rosenthal 1931d   85  0.0552  0.0076  0.0384  0.0361  0.0485  0.03
Rossi 2007   81  0.1420  0.0075  0.0381  0.0336  0.1456  0.06
Rubinstein 1939   79  0.1556  0.0082  0.0475  0.0475  0.0378  0.03
Rubinstein 1952   52  0.3148  0.0050  0.0655  0.0671  0.0468  0.05
Rubinstein 1966   69  0.2141  0.0079  0.0564  0.0589  0.0279  0.03
Schilhawsky 1960   32  0.4221  0.0019  0.1332  0.497  0.6323  0.56
Shebanova 2002   6  0.585  0.036  0.2611  0.7117  0.6610  0.68
Smith 1975   65  0.2313  0.0073  0.0382  0.0371  0.0477  0.03
Sokolov 2002   55  0.2958  0.0059  0.0472  0.0473  0.0375  0.03
Sztompka 1959   25  0.4429  0.0032  0.1530  0.5229  0.4032  0.46
Tomsic 1995   58  0.2882  0.0055  0.0656  0.0657  0.0563  0.05
Uninsky 1932   11  0.534  0.048  0.377  0.7610  0.697  0.72
Uninsky 1971   54  0.3049  0.0046  0.0751  0.0768  0.0464  0.05
Wasowski 1980   7  0.577  0.017  0.309  0.726  0.726  0.72
Zak 1937   45  0.3670  0.0041  0.1141  0.3321  0.4738  0.39
Zak 1951   48  0.3559  0.0044  0.0844  0.1622  0.4441  0.27
Average   3  0.653  0.073  0.403  0.8715  0.4913  0.65
Random 1   89  -0.0187  0.0086  0.0385  0.0355  0.0483  0.03
Random 2   88  -0.0142  0.0089  0.0287  0.0265  0.0481  0.03
Random 3   90  -0.0488  0.0090  0.0190  0.0170  0.0390  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).