Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.2985  0.0057  0.0557  0.0584  0.0371  0.04
Anderszewski 2003   44  0.3358  0.0023  0.0722  0.4933  0.3515  0.41
Ashkenazy 1981   62  0.2860  0.0080  0.0288  0.0277  0.0484  0.03
Bacha 2000   53  0.3029  0.0046  0.0651  0.0628  0.2740  0.13
Badura 1965   67  0.2664  0.0056  0.0560  0.0557  0.0472  0.04
Barbosa 1983   11  0.422  0.068  0.168  0.5946  0.1024  0.24
Biret 1990   55  0.3031  0.0051  0.0746  0.0758  0.0554  0.06
Blet 2003   73  0.2641  0.0069  0.0466  0.0480  0.0380  0.03
Block 1995   47  0.3256  0.0052  0.0554  0.0565  0.0473  0.04
Blumental 1952   70  0.2677  0.0081  0.0287  0.0280  0.0483  0.03
Boshniakovich 1969   4  0.443  0.052  0.323  0.6617  0.554  0.60
Brailowsky 1960   65  0.2675  0.0073  0.0376  0.0372  0.0562  0.04
Bunin 1987   51  0.3136  0.0058  0.0652  0.0661  0.0561  0.05
Bunin 1987b   58  0.2984  0.0062  0.0463  0.0460  0.0567  0.04
Chiu 1999   40  0.3410  0.0141  0.0942  0.1967  0.0446  0.09
Cohen 1997   37  0.3546  0.0033  0.0732  0.3923  0.5312  0.45
Cortot 1951   21  0.3916  0.0110  0.1610  0.574  0.692  0.63
Csalog 1996   83  0.2183  0.0084  0.0378  0.0376  0.0479  0.03
Czerny 1949   22  0.394  0.045  0.176  0.6319  0.661  0.64
Czerny 1990   18  0.396  0.0227  0.0735  0.3644  0.1427  0.22
Duchoud 2007   38  0.3523  0.0042  0.0841  0.1928  0.3125  0.24
Ezaki 2006   19  0.398  0.017  0.155  0.6423  0.515  0.57
Falvay 1989   30  0.3753  0.0031  0.0830  0.4167  0.0537  0.14
Farrell 1958   7  0.4233  0.006  0.177  0.637  0.573  0.60
Ferenczy 1958   77  0.2467  0.0064  0.0465  0.0440  0.2844  0.11
Fliere 1977   32  0.3754  0.0030  0.0626  0.4657  0.0631  0.17
Fou 1978   27  0.3838  0.0025  0.0820  0.5248  0.0630  0.18
Francois 1956   57  0.2945  0.0044  0.0844  0.1723  0.4323  0.27
Friedman 1923   54  0.309  0.0150  0.0747  0.0756  0.0656  0.06
Friedman 1923b   52  0.3025  0.0049  0.0648  0.0647  0.0753  0.06
Friedman 1930   69  0.2637  0.0067  0.0469  0.0472  0.0469  0.04
Garcia 2007   8  0.4262  0.0018  0.0912  0.5512  0.566  0.55
Garcia 2007b   75  0.2549  0.0071  0.0468  0.0460  0.0575  0.04
Gierzod 1998   26  0.3822  0.0032  0.0831  0.4144  0.1128  0.21
Gornostaeva 1994   36  0.3540  0.0026  0.0824  0.4831  0.3614  0.42
Groot 1988   80  0.2386  0.0070  0.0553  0.0583  0.0374  0.04
Harasiewicz 1955   3  0.4614  0.014  0.202  0.7031  0.3311  0.48
Hatto 1993   63  0.2743  0.0065  0.0371  0.0372  0.0486  0.03
Hatto 1997   66  0.2682  0.0066  0.0561  0.0579  0.0470  0.04
Horowitz 1949   74  0.2559  0.0083  0.0283  0.0281  0.0389  0.02
Indjic 1988   72  0.2666  0.0068  0.0556  0.0575  0.0468  0.04
Kapell 1951   5  0.437  0.0217  0.0721  0.5055  0.0632  0.17
Kissin 1993   41  0.3468  0.0053  0.0559  0.0574  0.0558  0.05
Kushner 1989   13  0.4026  0.0019  0.0814  0.5543  0.1026  0.23
Luisada 1991   59  0.2963  0.0072  0.0379  0.0375  0.0476  0.03
Lushtak 2004   12  0.4119  0.009  0.129  0.5921  0.507  0.54
Malcuzynski 1961   28  0.3734  0.0034  0.0934  0.3863  0.0538  0.14
Magaloff 1978   45  0.3339  0.0055  0.0649  0.0677  0.0364  0.04
Magin 1975   85  0.2090  0.0085  0.0284  0.0282  0.0388  0.02
Michalowski 1933   88  0.1480  0.0088  0.0374  0.0377  0.0378  0.03
Milkina 1970   35  0.3661  0.0015  0.0718  0.5332  0.3613  0.44
Mohovich 1999   25  0.3818  0.0014  0.0719  0.5339  0.2520  0.36
Moravec 1969   31  0.3727  0.0047  0.0650  0.0651  0.0651  0.06
Morozova 2008   23  0.3815  0.0116  0.0615  0.5437  0.2618  0.37
Neighaus 1950   6  0.4320  0.0011  0.1811  0.558  0.538  0.54
Niedzielski 1931   79  0.2487  0.0076  0.0375  0.0383  0.0377  0.03
Ohlsson 1999   43  0.3435  0.0045  0.0645  0.1160  0.0449  0.07
Osinska 1989   17  0.4073  0.0012  0.0913  0.5535  0.2617  0.38
Pachmann 1927   49  0.3251  0.0054  0.0558  0.0538  0.1747  0.09
Paderewski 1930   61  0.2876  0.0048  0.0555  0.0535  0.3441  0.13
Perlemuter 1992   56  0.3089  0.0063  0.0470  0.0448  0.0657  0.05
Pierdomenico 2008   50  0.3174  0.0075  0.0377  0.0351  0.0566  0.04
Poblocka 1999   24  0.3844  0.0036  0.1233  0.3958  0.0536  0.14
Rabcewiczowa 1932   33  0.3730  0.0021  0.1017  0.5422  0.5110  0.52
Rachmaninoff 1923   81  0.2391  0.0082  0.0373  0.0385  0.0287  0.02
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   29  0.3757  0.0039  0.0839  0.2362  0.0543  0.11
Rosen 1989   14  0.4013  0.0120  0.0916  0.5438  0.1722  0.30
Rosenthal 1930   71  0.2617  0.0187  0.0372  0.0373  0.0482  0.03
Rosenthal 1931   84  0.2028  0.0078  0.0281  0.0244  0.1559  0.05
Rosenthal 1931b   82  0.2288  0.0077  0.0282  0.0242  0.1755  0.06
Rosenthal 1931c   68  0.2665  0.0061  0.0464  0.0445  0.1250  0.07
Rosenthal 1931d   86  0.2078  0.0086  0.0285  0.0256  0.0585  0.03
Rossi 2007   87  0.1979  0.0074  0.0280  0.0239  0.2052  0.06
Rubinstein 1939   39  0.3552  0.0024  0.0828  0.4527  0.2919  0.36
Rubinstein 1952   48  0.3247  0.0043  0.0643  0.1758  0.0548  0.09
Rubinstein 1966   2  0.4712  0.013  0.194  0.6623  0.439  0.53
Schilhawsky 1960   76  0.2581  0.0079  0.0286  0.0266  0.0481  0.03
Shebanova 2002   10  0.425  0.0213  0.0827  0.4563  0.0633  0.16
Smith 1975   78  0.2448  0.0060  0.0467  0.0458  0.0565  0.04
Sokolov 2002   64  0.2732  0.0059  0.0462  0.0458  0.0563  0.04
Sztompka 1959   20  0.3911  0.0135  0.0936  0.3448  0.0735  0.15
Tomsic 1995   46  0.3370  0.0037  0.0838  0.2650  0.0839  0.14
Uninsky 1932   34  0.3742  0.0040  0.1040  0.2370  0.0445  0.10
Uninsky 1971   42  0.3471  0.0038  0.0837  0.2761  0.0542  0.12
Wasowski 1980   15  0.4024  0.0028  0.0925  0.4768  0.0534  0.15
Zak 1937   9  0.4221  0.0022  0.0823  0.4828  0.3116  0.39
Zak 1951   16  0.4050  0.0029  0.1029  0.4327  0.2721  0.34
Average   1  0.561  0.641  0.631  0.8465  0.0529  0.20
Random 1   91  -0.0872  0.0091  0.0191  0.0180  0.0291  0.01
Random 2   89  0.0369  0.0089  0.0289  0.0244  0.1360  0.05
Random 3   90  -0.0655  0.0090  0.0190  0.0172  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).