Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.4460  0.0040  0.0929  0.2772  0.0429  0.10
Anderszewski 2003   29  0.4518  0.0027  0.0625  0.3279  0.0328  0.10
Ashkenazy 1981   46  0.3881  0.0035  0.0639  0.2186  0.0340  0.08
Bacha 2000   48  0.3847  0.0031  0.0541  0.1883  0.0341  0.07
Badura 1965   85  0.2582  0.0076  0.0375  0.0369  0.0478  0.03
Barbosa 1983   88  0.2283  0.0058  0.0655  0.0682  0.0356  0.04
Biret 1990   22  0.4642  0.0022  0.1021  0.4288  0.0324  0.11
Blet 2003   50  0.3839  0.0050  0.0846  0.0878  0.0349  0.05
Block 1995   67  0.327  0.0054  0.0559  0.0577  0.0461  0.04
Blumental 1952   19  0.4753  0.0011  0.149  0.6061  0.0414  0.15
Boshniakovich 1969   56  0.3569  0.0072  0.0382  0.0385  0.0379  0.03
Brailowsky 1960   14  0.509  0.0015  0.1610  0.5825  0.416  0.49
Bunin 1987   86  0.2416  0.0083  0.0287  0.0282  0.0388  0.02
Bunin 1987b   87  0.2334  0.0084  0.0384  0.0384  0.0368  0.03
Chiu 1999   84  0.2561  0.0057  0.0463  0.0483  0.0365  0.03
Cohen 1997   82  0.2670  0.0030  0.0544  0.1547  0.0636  0.09
Cortot 1951   65  0.3371  0.0078  0.0381  0.0387  0.0290  0.02
Csalog 1996   32  0.4412  0.0025  0.0626  0.3052  0.0521  0.12
Czerny 1949   44  0.3962  0.0052  0.0657  0.0678  0.0360  0.04
Czerny 1990   13  0.5084  0.009  0.1212  0.5569  0.0415  0.15
Duchoud 2007   80  0.2785  0.0071  0.0370  0.0376  0.0376  0.03
Ezaki 2006   25  0.4626  0.0019  0.1613  0.5568  0.0413  0.15
Falvay 1989   18  0.4830  0.0018  0.1319  0.4754  0.0611  0.17
Farrell 1958   53  0.376  0.0046  0.0747  0.0771  0.0447  0.05
Ferenczy 1958   57  0.3572  0.0067  0.0465  0.0487  0.0275  0.03
Fliere 1977   17  0.4835  0.0021  0.1123  0.3981  0.0323  0.11
Fou 1978   36  0.4419  0.0023  0.1122  0.4079  0.0419  0.13
Francois 1956   61  0.3363  0.0059  0.0462  0.0480  0.0382  0.03
Friedman 1923   69  0.3286  0.0065  0.0374  0.0377  0.0484  0.03
Friedman 1923b   68  0.3243  0.0062  0.0464  0.0478  0.0462  0.04
Friedman 1930   58  0.3520  0.0066  0.0468  0.0486  0.0374  0.03
Garcia 2007   73  0.3187  0.0079  0.0379  0.0388  0.0377  0.03
Garcia 2007b   62  0.3354  0.0074  0.0376  0.0373  0.0483  0.03
Gierzod 1998   21  0.4788  0.0037  0.0627  0.2987  0.0238  0.08
Gornostaeva 1994   10  0.5373  0.0012  0.1715  0.5257  0.0417  0.14
Groot 1988   52  0.3713  0.0026  0.0636  0.2384  0.0431  0.10
Harasiewicz 1955   55  0.3617  0.0051  0.0649  0.0665  0.0451  0.05
Hatto 1993   78  0.3055  0.0063  0.0469  0.0488  0.0281  0.03
Hatto 1997   76  0.3189  0.0069  0.0653  0.0686  0.0358  0.04
Horowitz 1949   66  0.3336  0.0075  0.0380  0.0372  0.0470  0.03
Indjic 1988   75  0.3127  0.0068  0.0467  0.0488  0.0373  0.03
Kapell 1951   15  0.5021  0.0024  0.0624  0.3385  0.0326  0.10
Kissin 1993   35  0.4474  0.0033  0.0531  0.2671  0.0427  0.10
Kushner 1989   20  0.4731  0.0041  0.0637  0.2280  0.0337  0.08
Luisada 1991   42  0.3922  0.0049  0.0652  0.0684  0.0352  0.04
Lushtak 2004   60  0.3323  0.0034  0.0642  0.1684  0.0345  0.07
Malcuzynski 1961   24  0.4656  0.0042  0.0834  0.2486  0.0242  0.07
Magaloff 1978   12  0.5114  0.0017  0.1516  0.5152  0.0610  0.17
Magin 1975   9  0.5348  0.0010  0.138  0.6365  0.0412  0.16
Michalowski 1933   40  0.4075  0.0056  0.0648  0.0672  0.0448  0.05
Milkina 1970   11  0.5140  0.0020  0.1020  0.4682  0.0320  0.12
Mohovich 1999   30  0.4515  0.0036  0.0730  0.2667  0.0430  0.10
Moravec 1969   5  0.5928  0.005  0.477  0.647  0.635  0.63
Morozova 2008   47  0.3876  0.0048  0.0654  0.0682  0.0357  0.04
Neighaus 1950   70  0.3277  0.0081  0.0373  0.0372  0.0480  0.03
Niedzielski 1931   26  0.4537  0.0013  0.1214  0.5241  0.159  0.28
Ohlsson 1999   49  0.3849  0.0053  0.0558  0.0588  0.0355  0.04
Osinska 1989   27  0.455  0.0039  0.0733  0.2584  0.0332  0.09
Pachmann 1927   63  0.3350  0.0085  0.0286  0.0279  0.0386  0.02
Paderewski 1930   74  0.3157  0.0082  0.0383  0.0370  0.0371  0.03
Perlemuter 1992   64  0.3325  0.0064  0.0372  0.0365  0.0464  0.03
Pierdomenico 2008   81  0.2790  0.0088  0.0466  0.0487  0.0366  0.03
Poblocka 1999   23  0.4610  0.0043  0.0835  0.2469  0.0425  0.10
Rabcewiczowa 1932   7  0.5658  0.007  0.2511  0.5724  0.298  0.41
Rachmaninoff 1923   8  0.5324  0.006  0.296  0.6828  0.287  0.44
Rangell 2001   59  0.3432  0.0073  0.0377  0.0387  0.0289  0.02
Richter 1976   83  0.2551  0.0086  0.0288  0.0282  0.0385  0.02
Rosen 1989   33  0.4444  0.0044  0.0940  0.2081  0.0339  0.08
Rosenthal 1930   4  0.774  0.014  0.764  0.884  0.894  0.88
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.921  0.881  0.871  0.962  0.962  0.96
Rosenthal 1931c   3  0.873  0.023  0.833  0.943  0.943  0.94
Rosenthal 1931d   2  0.882  0.072  0.772  0.962  0.971  0.96
Rossi 2007   72  0.3164  0.0070  0.0460  0.0460  0.0453  0.04
Rubinstein 1939   39  0.4045  0.0032  0.0528  0.2879  0.0334  0.09
Rubinstein 1952   28  0.4565  0.0014  0.1418  0.4771  0.0418  0.14
Rubinstein 1966   38  0.4191  0.0047  0.0651  0.0663  0.0550  0.05
Schilhawsky 1960   43  0.3946  0.0028  0.0538  0.2166  0.0435  0.09
Shebanova 2002   41  0.4059  0.0055  0.0656  0.0685  0.0359  0.04
Smith 1975   16  0.4911  0.0016  0.1517  0.5062  0.0416  0.14
Sokolov 2002   31  0.4478  0.0038  0.0632  0.2685  0.0333  0.09
Sztompka 1959   37  0.4329  0.0045  0.0843  0.1687  0.0343  0.07
Tomsic 1995   77  0.3066  0.0077  0.0385  0.0379  0.0469  0.03
Uninsky 1932   45  0.3879  0.0029  0.0645  0.1373  0.0444  0.07
Uninsky 1971   79  0.2980  0.0087  0.0378  0.0388  0.0372  0.03
Wasowski 1980   71  0.3141  0.0080  0.0371  0.0373  0.0463  0.03
Zak 1937   51  0.3752  0.0060  0.0461  0.0488  0.0267  0.03
Zak 1951   54  0.368  0.0061  0.0650  0.0686  0.0354  0.04
Average   6  0.5867  0.008  0.365  0.7585  0.0222  0.12
Random 1   90  -0.1268  0.0090  0.0290  0.0273  0.0287  0.02
Random 2   89  -0.0238  0.0089  0.0289  0.0232  0.2046  0.06
Random 3   91  -0.1533  0.0091  0.0191  0.0188  0.0291  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).