Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.3652  0.0051  0.0473  0.0444  0.1045  0.06
Anderszewski 2003   23  0.3929  0.0022  0.0716  0.4555  0.0616  0.16
Ashkenazy 1981   59  0.3074  0.0056  0.0469  0.0458  0.0376  0.03
Bacha 2000   65  0.2839  0.0060  0.0553  0.0562  0.0452  0.04
Badura 1965   50  0.3253  0.0050  0.0474  0.0465  0.0466  0.04
Barbosa 1983   41  0.3454  0.0038  0.0836  0.1869  0.0437  0.08
Biret 1990   30  0.3740  0.0033  0.0732  0.2565  0.0433  0.10
Blet 2003   33  0.3722  0.0031  0.0633  0.2544  0.1017  0.16
Block 1995   25  0.3910  0.0012  0.229  0.5331  0.278  0.38
Blumental 1952   21  0.4036  0.0011  0.1513  0.4853  0.0614  0.17
Boshniakovich 1969   54  0.3166  0.0048  0.0467  0.0465  0.0468  0.04
Brailowsky 1960   5  0.4912  0.005  0.295  0.7116  0.545  0.62
Bunin 1987   43  0.3337  0.0047  0.0466  0.0470  0.0469  0.04
Bunin 1987b   52  0.3275  0.0055  0.0555  0.0560  0.0550  0.05
Chiu 1999   72  0.2567  0.0068  0.0746  0.0771  0.0348  0.05
Cohen 1997   67  0.2768  0.0039  0.0543  0.1176  0.0346  0.06
Cortot 1951   81  0.1876  0.0085  0.0381  0.0377  0.0379  0.03
Csalog 1996   14  0.419  0.0013  0.1212  0.5042  0.1311  0.25
Czerny 1949   70  0.2657  0.0073  0.0554  0.0573  0.0365  0.04
Czerny 1990   29  0.3877  0.0027  0.1122  0.4164  0.0428  0.13
Duchoud 2007   86  0.1378  0.0080  0.0284  0.0279  0.0285  0.02
Ezaki 2006   22  0.4038  0.0028  0.0728  0.3569  0.0525  0.13
Falvay 1989   7  0.464  0.0110  0.1510  0.5267  0.0421  0.14
Farrell 1958   45  0.3213  0.0043  0.0442  0.1177  0.0439  0.07
Ferenczy 1958   24  0.3958  0.0021  0.0819  0.4237  0.2210  0.30
Fliere 1977   13  0.4141  0.0017  0.0820  0.4263  0.0519  0.14
Fou 1978   9  0.4416  0.0018  0.1014  0.4764  0.0422  0.14
Francois 1956   85  0.1579  0.0079  0.0286  0.0286  0.0289  0.02
Friedman 1923   66  0.2769  0.0052  0.0475  0.0467  0.0471  0.04
Friedman 1923b   63  0.2880  0.0046  0.0461  0.0474  0.0470  0.04
Friedman 1930   71  0.2544  0.0053  0.0463  0.0459  0.0563  0.04
Garcia 2007   84  0.1659  0.0081  0.0287  0.0287  0.0286  0.02
Garcia 2007b   76  0.2246  0.0071  0.0468  0.0479  0.0380  0.03
Gierzod 1998   18  0.4081  0.0015  0.1225  0.3979  0.0331  0.11
Gornostaeva 1994   46  0.3282  0.0054  0.0462  0.0488  0.0277  0.03
Groot 1988   27  0.3818  0.0014  0.1315  0.4749  0.0615  0.17
Harasiewicz 1955   32  0.3720  0.0032  0.0729  0.3482  0.0334  0.10
Hatto 1993   16  0.4183  0.0019  0.0818  0.4461  0.0429  0.13
Hatto 1997   20  0.4084  0.0025  0.0923  0.4059  0.0427  0.13
Horowitz 1949   44  0.3242  0.0042  0.0544  0.1032  0.2418  0.15
Indjic 1988   19  0.4028  0.0024  0.0721  0.4177  0.0330  0.11
Kapell 1951   35  0.3617  0.0044  0.0641  0.1269  0.0440  0.07
Kissin 1993   68  0.2670  0.0072  0.0471  0.0484  0.0375  0.03
Kushner 1989   31  0.3726  0.0035  0.0735  0.2180  0.0336  0.08
Luisada 1991   38  0.358  0.0063  0.0745  0.0782  0.0347  0.05
Lushtak 2004   37  0.3630  0.0023  0.0724  0.3953  0.0523  0.14
Malcuzynski 1961   55  0.3148  0.0037  0.0640  0.1375  0.0344  0.06
Magaloff 1978   15  0.4123  0.0026  0.0927  0.3756  0.0520  0.14
Magin 1975   10  0.4349  0.0016  0.0917  0.4565  0.0426  0.13
Michalowski 1933   83  0.1785  0.0086  0.0282  0.0286  0.0284  0.02
Milkina 1970   40  0.3471  0.0061  0.0459  0.0484  0.0373  0.03
Mohovich 1999   17  0.4014  0.0020  0.0926  0.3953  0.0524  0.14
Moravec 1969   6  0.4734  0.006  0.298  0.5522  0.417  0.47
Morozova 2008   51  0.3286  0.0057  0.0465  0.0466  0.0562  0.04
Neighaus 1950   80  0.1960  0.0076  0.0476  0.0477  0.0378  0.03
Niedzielski 1931   60  0.2933  0.0029  0.0734  0.2134  0.1713  0.19
Ohlsson 1999   57  0.3124  0.0064  0.0549  0.0579  0.0360  0.04
Osinska 1989   34  0.3711  0.0034  0.0931  0.2778  0.0335  0.09
Pachmann 1927   79  0.2087  0.0083  0.0379  0.0380  0.0283  0.02
Paderewski 1930   87  0.1388  0.0087  0.0380  0.0379  0.0374  0.03
Perlemuter 1992   73  0.2425  0.0078  0.0378  0.0383  0.0281  0.02
Pierdomenico 2008   77  0.2172  0.0084  0.0283  0.0285  0.0282  0.02
Poblocka 1999   11  0.427  0.019  0.1911  0.5148  0.0912  0.21
Rabcewiczowa 1932   8  0.4535  0.008  0.217  0.6037  0.159  0.30
Rachmaninoff 1923   12  0.4131  0.007  0.296  0.6124  0.436  0.51
Rangell 2001   82  0.1761  0.0082  0.0285  0.0282  0.0288  0.02
Richter 1976   61  0.2947  0.0066  0.0550  0.0576  0.0358  0.04
Rosen 1989   48  0.3232  0.0062  0.0551  0.0555  0.0467  0.04
Rosenthal 1930   4  0.676  0.014  0.784  0.864  0.854  0.85
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.791  0.791  0.781  0.942  0.942  0.94
Rosenthal 1931c   3  0.732  0.083  0.663  0.893  0.913  0.90
Rosenthal 1931d   2  0.753  0.072  0.642  0.932  0.951  0.94
Rossi 2007   78  0.2162  0.0077  0.0377  0.0371  0.0472  0.03
Rubinstein 1939   56  0.3189  0.0067  0.0548  0.0578  0.0356  0.04
Rubinstein 1952   26  0.3890  0.0030  0.0630  0.2862  0.0432  0.11
Rubinstein 1966   28  0.3863  0.0041  0.0539  0.1370  0.0441  0.07
Schilhawsky 1960   39  0.3550  0.0040  0.0537  0.1664  0.0438  0.08
Shebanova 2002   75  0.2364  0.0074  0.0464  0.0476  0.0464  0.04
Smith 1975   42  0.3319  0.0049  0.0557  0.0569  0.0455  0.04
Sokolov 2002   47  0.3255  0.0045  0.0460  0.0460  0.0454  0.04
Sztompka 1959   74  0.2445  0.0069  0.0552  0.0577  0.0459  0.04
Tomsic 1995   58  0.3065  0.0065  0.0472  0.0456  0.0651  0.05
Uninsky 1932   62  0.2951  0.0036  0.0638  0.1466  0.0442  0.07
Uninsky 1971   69  0.2673  0.0070  0.0558  0.0586  0.0361  0.04
Wasowski 1980   64  0.2827  0.0075  0.0556  0.0580  0.0453  0.04
Zak 1937   53  0.3215  0.0059  0.0647  0.0673  0.0449  0.05
Zak 1951   49  0.325  0.0158  0.0470  0.0474  0.0457  0.04
Random 1   89  -0.0743  0.0089  0.0189  0.0150  0.0487  0.02
Random 2   88  0.0356  0.0088  0.0288  0.0224  0.2843  0.07
Random 3   90  -0.1321  0.0090  0.0190  0.0178  0.0290  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).