Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.3561  0.0051  0.0556  0.0555  0.0459  0.04
Anderszewski 2003   31  0.3545  0.0035  0.0731  0.2571  0.0430  0.10
Ashkenazy 1981   28  0.3562  0.0034  0.0728  0.3247  0.0621  0.14
Bacha 2000   38  0.3315  0.0030  0.0737  0.2164  0.0335  0.08
Badura 1965   49  0.3013  0.0049  0.0557  0.0564  0.0461  0.04
Barbosa 1983   56  0.2816  0.0050  0.0462  0.0482  0.0376  0.03
Biret 1990   10  0.436  0.0117  0.1117  0.4767  0.0422  0.14
Blet 2003   17  0.3925  0.0016  0.1315  0.5031  0.2110  0.32
Block 1995   63  0.2714  0.0045  0.0745  0.1366  0.0444  0.07
Blumental 1952   14  0.4021  0.0014  0.1311  0.5458  0.0613  0.18
Boshniakovich 1969   53  0.3046  0.0059  0.0473  0.0477  0.0379  0.03
Brailowsky 1960   9  0.4437  0.0010  0.206  0.6332  0.397  0.50
Bunin 1987   30  0.3577  0.0040  0.0630  0.2675  0.0334  0.09
Bunin 1987b   36  0.3435  0.0041  0.0832  0.2477  0.0338  0.08
Chiu 1999   67  0.2563  0.0066  0.0558  0.0586  0.0269  0.03
Cohen 1997   52  0.3064  0.0029  0.0633  0.2362  0.0431  0.10
Cortot 1951   88  0.1347  0.0087  0.0287  0.0272  0.0391  0.02
Csalog 1996   6  0.455  0.017  0.198  0.5839  0.189  0.32
Czerny 1949   81  0.1978  0.0083  0.0284  0.0286  0.0287  0.02
Czerny 1990   47  0.3148  0.0026  0.0625  0.3581  0.0332  0.10
Duchoud 2007   79  0.1979  0.0079  0.0555  0.0573  0.0360  0.04
Ezaki 2006   41  0.3326  0.0056  0.0471  0.0477  0.0364  0.03
Falvay 1989   13  0.4165  0.0023  0.0724  0.3646  0.0617  0.15
Farrell 1958   70  0.2549  0.0067  0.0551  0.0582  0.0351  0.04
Ferenczy 1958   19  0.3950  0.0020  0.0719  0.4544  0.1212  0.23
Fliere 1977   7  0.4438  0.0012  0.1316  0.5048  0.0614  0.17
Fou 1978   26  0.3722  0.0037  0.0639  0.2082  0.0337  0.08
Francois 1956   77  0.2180  0.0068  0.0463  0.0483  0.0381  0.03
Friedman 1923   62  0.2718  0.0053  0.0646  0.0660  0.0548  0.05
Friedman 1923b   55  0.2836  0.0048  0.0553  0.0572  0.0463  0.04
Friedman 1930   43  0.3281  0.0033  0.0729  0.3049  0.0720  0.14
Garcia 2007   83  0.1724  0.0085  0.0381  0.0382  0.0378  0.03
Garcia 2007b   74  0.2328  0.0072  0.0477  0.0487  0.0282  0.03
Gierzod 1998   22  0.3833  0.0025  0.0722  0.3864  0.0427  0.12
Gornostaeva 1994   51  0.3066  0.0044  0.0644  0.1380  0.0345  0.06
Groot 1988   8  0.4412  0.0013  0.1810  0.5671  0.0418  0.15
Harasiewicz 1955   37  0.3351  0.0019  0.0827  0.3372  0.0429  0.11
Hatto 1993   16  0.3952  0.0018  0.1318  0.4676  0.0423  0.14
Hatto 1997   21  0.3839  0.0024  0.0921  0.3961  0.0426  0.12
Horowitz 1949   46  0.3267  0.0032  0.0640  0.1929  0.2911  0.23
Indjic 1988   20  0.3953  0.0022  0.1020  0.4273  0.0424  0.13
Kapell 1951   45  0.3282  0.0062  0.0548  0.0573  0.0452  0.04
Kissin 1993   82  0.1768  0.0084  0.0282  0.0286  0.0386  0.02
Kushner 1989   25  0.3754  0.0039  0.0635  0.2270  0.0433  0.09
Luisada 1991   50  0.3040  0.0052  0.0547  0.0585  0.0349  0.04
Lushtak 2004   54  0.3055  0.0027  0.0726  0.3452  0.0525  0.13
Malcuzynski 1961   64  0.2619  0.0028  0.0638  0.2071  0.0339  0.08
Magaloff 1978   24  0.3869  0.0042  0.0641  0.1869  0.0342  0.07
Magin 1975   11  0.4320  0.0015  0.1214  0.5073  0.0419  0.14
Michalowski 1933   84  0.1710  0.0069  0.0460  0.0453  0.0455  0.04
Milkina 1970   44  0.3256  0.0060  0.0468  0.0481  0.0371  0.03
Mohovich 1999   23  0.3857  0.0021  0.0823  0.3781  0.0328  0.11
Moravec 1969   12  0.4227  0.009  0.1613  0.5234  0.218  0.33
Morozova 2008   68  0.2570  0.0070  0.0478  0.0484  0.0377  0.03
Neighaus 1950   76  0.2258  0.0071  0.0461  0.0481  0.0280  0.03
Niedzielski 1931   35  0.3441  0.008  0.189  0.563  0.525  0.54
Ohlsson 1999   66  0.2683  0.0075  0.0472  0.0476  0.0375  0.03
Osinska 1989   48  0.3171  0.0054  0.0474  0.0481  0.0366  0.03
Pachmann 1927   86  0.1584  0.0086  0.0289  0.0288  0.0285  0.02
Paderewski 1930   85  0.1742  0.0081  0.0286  0.0273  0.0384  0.02
Perlemuter 1992   72  0.2485  0.0078  0.0464  0.0477  0.0365  0.03
Pierdomenico 2008   59  0.2829  0.0065  0.0470  0.0465  0.0450  0.04
Poblocka 1999   57  0.2859  0.0047  0.0550  0.0567  0.0546  0.05
Rabcewiczowa 1932   18  0.3930  0.0011  0.1612  0.5350  0.0516  0.16
Rachmaninoff 1923   15  0.4011  0.006  0.277  0.6023  0.446  0.51
Rangell 2001   87  0.1586  0.0088  0.0283  0.0286  0.0290  0.02
Richter 1976   73  0.2487  0.0076  0.0476  0.0489  0.0273  0.03
Rosen 1989   42  0.3217  0.0046  0.0549  0.0586  0.0362  0.04
Rosenthal 1930   4  0.714  0.024  0.824  0.901  0.874  0.88
Rosenthal 1931   2  0.791  0.501  0.492  0.941  0.942  0.94
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.763  0.163  0.703  0.931  0.953  0.94
Rosenthal 1931d   1  0.792  0.292  0.601  0.951  0.951  0.95
Rossi 2007   75  0.2288  0.0080  0.0380  0.0379  0.0368  0.03
Rubinstein 1939   60  0.2834  0.0073  0.0465  0.0483  0.0370  0.03
Rubinstein 1952   29  0.357  0.0043  0.0642  0.1583  0.0247  0.05
Rubinstein 1966   32  0.3431  0.0058  0.0467  0.0478  0.0457  0.04
Schilhawsky 1960   33  0.3472  0.0036  0.0636  0.2171  0.0340  0.08
Shebanova 2002   61  0.2773  0.0055  0.0475  0.0478  0.0458  0.04
Smith 1975   40  0.3374  0.0031  0.0634  0.2276  0.0336  0.08
Sokolov 2002   58  0.2875  0.0061  0.0559  0.0585  0.0267  0.03
Sztompka 1959   80  0.1932  0.0077  0.0466  0.0480  0.0374  0.03
Tomsic 1995   69  0.2560  0.0074  0.0379  0.0381  0.0372  0.03
Uninsky 1932   65  0.2689  0.0038  0.0643  0.1461  0.0443  0.07
Uninsky 1971   71  0.2543  0.0063  0.0552  0.0586  0.0356  0.04
Wasowski 1980   78  0.2090  0.0082  0.0285  0.0286  0.0383  0.02
Zak 1937   39  0.3323  0.0064  0.0554  0.0573  0.0453  0.04
Zak 1951   34  0.349  0.0057  0.0469  0.0476  0.0454  0.04
Average   5  0.538  0.005  0.235  0.7175  0.0415  0.17
Random 1   91  -0.0591  0.0090  0.0190  0.0151  0.0488  0.02
Random 2   89  0.0176  0.0089  0.0288  0.0222  0.3141  0.08
Random 3   90  -0.0444  0.0091  0.0191  0.0172  0.0389  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).