Friedman 1923

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.2921  0.0061  0.0469  0.0444  0.1144  0.07
Anderszewski 2003   73  0.2357  0.0074  0.0565  0.0579  0.0368  0.04
Ashkenazy 1981   9  0.4325  0.006  0.247  0.6718  0.546  0.60
Bacha 2000   80  0.1868  0.0080  0.0382  0.0380  0.0375  0.03
Badura 1965   24  0.3811  0.0016  0.1317  0.548  0.5511  0.54
Barbosa 1983   47  0.3022  0.0057  0.0562  0.0578  0.0467  0.04
Biret 1990   68  0.2558  0.0065  0.0558  0.0577  0.0372  0.04
Blet 2003   22  0.3845  0.0025  0.1425  0.4325  0.4119  0.42
Block 1995   16  0.4026  0.0021  0.1215  0.5434  0.2621  0.37
Blumental 1952   54  0.2827  0.0056  0.0563  0.0550  0.0750  0.06
Boshniakovich 1969   21  0.3859  0.0013  0.1116  0.5448  0.0728  0.19
Brailowsky 1960   41  0.3238  0.0047  0.0748  0.0739  0.1538  0.10
Bunin 1987   48  0.3069  0.0029  0.0731  0.3051  0.0632  0.13
Bunin 1987b   64  0.2617  0.0048  0.0654  0.0652  0.0555  0.05
Chiu 1999   19  0.3912  0.0026  0.0827  0.3932  0.2125  0.29
Cohen 1997   78  0.1870  0.0083  0.0476  0.0479  0.0382  0.03
Cortot 1951   81  0.1846  0.0082  0.0384  0.0376  0.0384  0.03
Csalog 1996   37  0.3339  0.0050  0.0656  0.0643  0.1142  0.08
Czerny 1949   86  0.1271  0.0086  0.0378  0.0387  0.0287  0.02
Czerny 1990   25  0.3772  0.0020  0.1018  0.5438  0.1924  0.32
Duchoud 2007   52  0.2973  0.0045  0.0560  0.0544  0.0945  0.07
Ezaki 2006   75  0.2074  0.0077  0.0288  0.0271  0.0474  0.03
Falvay 1989   74  0.2375  0.0072  0.0567  0.0580  0.0364  0.04
Farrell 1958   55  0.286  0.0049  0.0749  0.0747  0.0743  0.07
Ferenczy 1958   87  0.0832  0.0087  0.0377  0.0384  0.0380  0.03
Fliere 1977   3  0.5023  0.003  0.303  0.7823  0.464  0.60
Fou 1978   26  0.3613  0.0023  0.1221  0.4958  0.0529  0.16
Francois 1956   72  0.2360  0.0040  0.0643  0.1163  0.0447  0.07
Friedman 1923   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923b   1  0.971  0.991  0.981  1.001  1.001  1.00
Friedman 1930   2  0.672  0.002  0.852  0.941  0.952  0.94
Garcia 2007   51  0.2918  0.0058  0.0657  0.0654  0.0559  0.05
Garcia 2007b   59  0.2828  0.0059  0.0745  0.0762  0.0553  0.06
Gierzod 1998   71  0.2361  0.0076  0.0475  0.0486  0.0381  0.03
Gornostaeva 1994   66  0.2676  0.0039  0.0639  0.1476  0.0351  0.06
Groot 1988   35  0.3440  0.0033  0.0830  0.3365  0.0436  0.11
Harasiewicz 1955   20  0.395  0.0036  0.0834  0.2671  0.0537  0.11
Hatto 1993   29  0.3677  0.0030  0.0726  0.4166  0.0433  0.13
Hatto 1997   62  0.2729  0.0062  0.0561  0.0585  0.0369  0.04
Horowitz 1949   23  0.3833  0.0022  0.1119  0.527  0.639  0.57
Indjic 1988   33  0.3530  0.0034  0.1129  0.3656  0.0631  0.15
Kapell 1951   56  0.2847  0.0064  0.0750  0.0763  0.0549  0.06
Kissin 1993   31  0.3514  0.0037  0.0935  0.2444  0.1727  0.20
Kushner 1989   30  0.3519  0.0038  0.1132  0.2856  0.0534  0.12
Luisada 1991   18  0.3935  0.0024  0.1123  0.4837  0.1526  0.27
Lushtak 2004   40  0.3348  0.0043  0.0642  0.1172  0.0446  0.07
Malcuzynski 1961   32  0.3578  0.0046  0.0653  0.0654  0.0556  0.05
Magaloff 1978   10  0.4249  0.0010  0.1210  0.6419  0.4014  0.51
Magin 1975   38  0.3315  0.0044  0.0544  0.1070  0.0448  0.06
Michalowski 1933   58  0.2879  0.0028  0.0740  0.1339  0.1730  0.15
Milkina 1970   83  0.1880  0.0073  0.0474  0.0483  0.0378  0.03
Mohovich 1999   50  0.2950  0.0063  0.0559  0.0570  0.0471  0.04
Moravec 1969   65  0.2636  0.0068  0.0470  0.0487  0.0276  0.03
Morozova 2008   44  0.317  0.0027  0.0837  0.1850  0.0539  0.09
Neighaus 1950   5  0.4437  0.004  0.2813  0.603  0.617  0.60
Niedzielski 1931   28  0.3631  0.0012  0.1424  0.4716  0.4417  0.45
Ohlsson 1999   7  0.4334  0.0011  0.1212  0.6017  0.3916  0.48
Osinska 1989   42  0.3281  0.0042  0.0641  0.1260  0.0540  0.08
Pachmann 1927   17  0.409  0.0017  0.1022  0.4910  0.5613  0.52
Paderewski 1930   43  0.3182  0.0031  0.0736  0.2425  0.4323  0.32
Perlemuter 1992   27  0.3616  0.0032  0.0728  0.3824  0.3920  0.38
Pierdomenico 2008   60  0.2741  0.0067  0.0564  0.0546  0.0554  0.05
Poblocka 1999   36  0.3383  0.0041  0.0638  0.1466  0.0541  0.08
Rabcewiczowa 1932   85  0.1484  0.0084  0.0383  0.0387  0.0285  0.02
Rachmaninoff 1923   12  0.4120  0.009  0.109  0.6613  0.545  0.60
Rangell 2001   46  0.3062  0.0054  0.0655  0.0646  0.0752  0.06
Richter 1976   13  0.414  0.0018  0.1020  0.4937  0.2422  0.34
Rosen 1989   8  0.4363  0.0014  0.148  0.6621  0.3118  0.45
Rosenthal 1930   61  0.2751  0.0069  0.0468  0.0461  0.0570  0.04
Rosenthal 1931   82  0.1885  0.0081  0.0380  0.0363  0.0479  0.03
Rosenthal 1931b   76  0.2086  0.0078  0.0385  0.0354  0.0573  0.04
Rosenthal 1931c   69  0.2452  0.0060  0.0751  0.0772  0.0360  0.05
Rosenthal 1931d   77  0.1942  0.0075  0.0379  0.0369  0.0483  0.03
Rossi 2007   79  0.1853  0.0079  0.0386  0.0359  0.0563  0.04
Rubinstein 1939   70  0.2387  0.0070  0.0473  0.0476  0.0377  0.03
Rubinstein 1952   45  0.3154  0.0052  0.0747  0.0785  0.0361  0.05
Rubinstein 1966   39  0.3388  0.0051  0.0746  0.0783  0.0357  0.05
Schilhawsky 1960   49  0.2989  0.0053  0.0652  0.0663  0.0458  0.05
Shebanova 2002   4  0.453  0.005  0.306  0.6922  0.488  0.58
Smith 1975   63  0.2764  0.0071  0.0472  0.0456  0.0565  0.04
Sokolov 2002   67  0.2555  0.0066  0.0566  0.0578  0.0362  0.04
Sztompka 1959   15  0.4056  0.0019  0.1014  0.6026  0.3815  0.48
Tomsic 1995   84  0.158  0.0085  0.0381  0.0386  0.0286  0.02
Uninsky 1932   34  0.3443  0.0035  0.0833  0.2858  0.0535  0.12
Uninsky 1971   57  0.2865  0.0055  0.0471  0.0467  0.0466  0.04
Wasowski 1980   11  0.4210  0.008  0.185  0.7026  0.4110  0.54
Zak 1937   6  0.4324  0.007  0.234  0.7310  0.603  0.66
Zak 1951   14  0.4166  0.0015  0.1811  0.6219  0.4312  0.52
Random 1   88  -0.0690  0.0088  0.0287  0.0286  0.0288  0.02
Random 2   89  -0.0867  0.0089  0.0189  0.0189  0.0189  0.01
Random 3   90  -0.1244  0.0090  0.0190  0.0190  0.0190  0.01

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).