Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.4336  0.0030  0.0929  0.2852  0.0530  0.12
Anderszewski 2003   39  0.4329  0.0035  0.0636  0.1851  0.0345  0.07
Ashkenazy 1981   20  0.4980  0.0032  0.0821  0.3663  0.0431  0.12
Bacha 2000   70  0.3113  0.0082  0.0284  0.0253  0.0567  0.03
Badura 1965   54  0.4024  0.0021  0.0822  0.3624  0.3113  0.33
Barbosa 1983   84  0.2174  0.0084  0.0283  0.0286  0.0288  0.02
Biret 1990   67  0.3357  0.0074  0.0372  0.0382  0.0385  0.03
Blet 2003   65  0.3561  0.0066  0.0374  0.0370  0.0478  0.03
Block 1995   38  0.4381  0.0048  0.0551  0.0564  0.0464  0.04
Blumental 1952   71  0.3162  0.0059  0.0457  0.0468  0.0465  0.04
Boshniakovich 1969   47  0.4182  0.0044  0.0444  0.0856  0.0449  0.06
Brailowsky 1960   50  0.4133  0.0053  0.0552  0.0557  0.0456  0.04
Bunin 1987   24  0.4775  0.0029  0.0924  0.3446  0.0723  0.15
Bunin 1987b   23  0.4763  0.0028  0.1023  0.3545  0.0719  0.16
Chiu 1999   79  0.2542  0.0064  0.0381  0.0376  0.0370  0.03
Cohen 1997   59  0.3710  0.0043  0.0543  0.0928  0.2721  0.16
Cortot 1951   12  0.5212  0.0026  0.0919  0.3723  0.3411  0.35
Csalog 1996   78  0.2664  0.0087  0.0287  0.0272  0.0389  0.02
Czerny 1949   18  0.4951  0.0014  0.1010  0.5631  0.289  0.40
Czerny 1990   36  0.4445  0.0046  0.0645  0.0676  0.0366  0.04
Duchoud 2007   52  0.4043  0.0065  0.0375  0.0377  0.0383  0.03
Ezaki 2006   8  0.579  0.017  0.156  0.6629  0.277  0.42
Falvay 1989   29  0.4552  0.0036  0.0631  0.2574  0.0434  0.10
Farrell 1958   51  0.4139  0.0068  0.0369  0.0369  0.0372  0.03
Ferenczy 1958   42  0.4347  0.0057  0.0458  0.0451  0.0651  0.05
Fliere 1977   15  0.5253  0.0017  0.0718  0.4057  0.0524  0.14
Fou 1978   40  0.4365  0.0039  0.0540  0.1449  0.0735  0.10
Francois 1956   11  0.5327  0.0010  0.1811  0.5433  0.2112  0.34
Friedman 1923   82  0.2341  0.0056  0.0554  0.0534  0.1639  0.09
Friedman 1923b   83  0.2283  0.0058  0.0462  0.0436  0.1543  0.08
Friedman 1930   66  0.3537  0.0023  0.0735  0.2238  0.2016  0.21
Garcia 2007   85  0.2011  0.0081  0.0373  0.0373  0.0384  0.03
Garcia 2007b   87  0.0884  0.0086  0.0285  0.0276  0.0390  0.02
Gierzod 1998   9  0.556  0.0111  0.1913  0.5229  0.1914  0.31
Gornostaeva 1994   7  0.5834  0.009  0.159  0.6121  0.336  0.45
Groot 1988   17  0.5138  0.0012  0.1112  0.5246  0.0522  0.16
Harasiewicz 1955   61  0.3776  0.0018  0.0825  0.3376  0.0337  0.10
Hatto 1993   73  0.2866  0.0076  0.0370  0.0376  0.0386  0.03
Hatto 1997   69  0.3167  0.0062  0.0366  0.0387  0.0379  0.03
Horowitz 1949   30  0.4568  0.0033  0.0933  0.2346  0.0629  0.12
Indjic 1988   76  0.2769  0.0078  0.0379  0.0374  0.0377  0.03
Kapell 1951   48  0.4185  0.0073  0.0461  0.0479  0.0373  0.03
Kissin 1993   32  0.4525  0.0038  0.0639  0.1565  0.0441  0.08
Kushner 1989   16  0.5232  0.0025  0.0728  0.3050  0.0433  0.11
Luisada 1991   72  0.2986  0.0083  0.0286  0.0284  0.0387  0.02
Lushtak 2004   56  0.3940  0.0040  0.0641  0.1374  0.0348  0.06
Malcuzynski 1961   6  0.6135  0.006  0.218  0.6128  0.298  0.42
Magaloff 1978   5  0.6448  0.005  0.225  0.7116  0.345  0.49
Magin 1975   46  0.4272  0.0049  0.0555  0.0562  0.0458  0.04
Michalowski 1933   81  0.2370  0.0063  0.0377  0.0367  0.0476  0.03
Milkina 1970   31  0.4587  0.0050  0.0549  0.0568  0.0459  0.04
Mohovich 1999   22  0.488  0.0113  0.1115  0.4859  0.0425  0.14
Moravec 1969   28  0.4615  0.0047  0.0550  0.0569  0.0454  0.04
Morozova 2008   34  0.4414  0.0022  0.0917  0.4368  0.0427  0.13
Neighaus 1950   14  0.5220  0.0016  0.0814  0.4955  0.0618  0.17
Niedzielski 1931   60  0.3723  0.0070  0.0459  0.0448  0.0557  0.04
Ohlsson 1999   27  0.4677  0.0051  0.0546  0.0569  0.0461  0.04
Osinska 1989   33  0.4558  0.0045  0.0456  0.0468  0.0455  0.04
Pachmann 1927   80  0.2528  0.0077  0.0368  0.0365  0.0475  0.03
Paderewski 1930   21  0.485  0.0215  0.0834  0.2241  0.1220  0.16
Perlemuter 1992   55  0.4078  0.0031  0.1027  0.3152  0.0432  0.11
Pierdomenico 2008   63  0.3530  0.0067  0.0376  0.0386  0.0371  0.03
Poblocka 1999   44  0.4288  0.0072  0.0363  0.0371  0.0469  0.03
Rabcewiczowa 1932   62  0.3744  0.0042  0.0542  0.1052  0.0544  0.07
Rachmaninoff 1923   45  0.4216  0.0020  0.0720  0.3736  0.1715  0.25
Rangell 2001   25  0.4717  0.0027  0.0830  0.2653  0.0436  0.10
Richter 1976   53  0.4049  0.0052  0.0548  0.0566  0.0360  0.04
Rosen 1989   19  0.497  0.0124  0.0726  0.3248  0.0528  0.13
Rosenthal 1930   4  0.743  0.144  0.624  0.831  0.854  0.84
Rosenthal 1931   3  0.752  0.222  0.562  0.923  0.951  0.93
Rosenthal 1931b   1  0.771  0.471  0.471  0.923  0.952  0.93
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   2  0.764  0.073  0.563  0.913  0.933  0.92
Rossi 2007   86  0.1879  0.0071  0.0378  0.0337  0.1346  0.06
Rubinstein 1939   74  0.2826  0.0079  0.0380  0.0339  0.1447  0.06
Rubinstein 1952   57  0.3854  0.0061  0.0460  0.0457  0.0653  0.05
Rubinstein 1966   41  0.4318  0.0060  0.0365  0.0351  0.0663  0.04
Schilhawsky 1960   35  0.4473  0.0041  0.0638  0.1660  0.0442  0.08
Shebanova 2002   68  0.3250  0.0080  0.0364  0.0375  0.0381  0.03
Smith 1975   13  0.5231  0.008  0.217  0.6435  0.2110  0.37
Sokolov 2002   10  0.5422  0.0019  0.0916  0.4345  0.0717  0.17
Sztompka 1959   26  0.4621  0.0034  0.0632  0.2545  0.0726  0.13
Tomsic 1995   37  0.4319  0.0037  0.0637  0.1666  0.0440  0.08
Uninsky 1932   77  0.2659  0.0075  0.0367  0.0381  0.0380  0.03
Uninsky 1971   49  0.4189  0.0054  0.0553  0.0560  0.0462  0.04
Wasowski 1980   75  0.2771  0.0085  0.0282  0.0254  0.0568  0.03
Zak 1937   64  0.3560  0.0069  0.0371  0.0369  0.0474  0.03
Zak 1951   58  0.3855  0.0055  0.0547  0.0554  0.0550  0.05
Random 1   90  0.0090  0.0090  0.0190  0.0122  0.2752  0.05
Random 2   89  0.0056  0.0089  0.0189  0.0140  0.1282  0.03
Random 3   88  0.0646  0.0088  0.0288  0.0214  0.3738  0.09

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).