Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.5551  0.0037  0.0733  0.2263  0.0434  0.09
Anderszewski 2003   30  0.5512  0.0116  0.0826  0.2744  0.0720  0.14
Ashkenazy 1981   55  0.4813  0.0140  0.0739  0.1750  0.0536  0.09
Bacha 2000   81  0.3480  0.0087  0.0284  0.0283  0.0388  0.02
Badura 1965   61  0.4673  0.0021  0.0824  0.2842  0.1514  0.20
Barbosa 1983   86  0.2574  0.0085  0.0286  0.0281  0.0389  0.02
Biret 1990   35  0.5452  0.0046  0.0457  0.0480  0.0462  0.04
Blet 2003   43  0.5083  0.0063  0.0465  0.0486  0.0378  0.03
Block 1995   77  0.3886  0.0080  0.0287  0.0283  0.0390  0.02
Blumental 1952   74  0.4011  0.0143  0.0543  0.0977  0.0260  0.04
Boshniakovich 1969   39  0.5159  0.0057  0.0549  0.0556  0.0551  0.05
Brailowsky 1960   59  0.4725  0.0060  0.0369  0.0352  0.0552  0.04
Bunin 1987   37  0.5277  0.0035  0.0727  0.2537  0.2013  0.22
Bunin 1987b   38  0.5281  0.0036  0.0729  0.2537  0.2212  0.23
Chiu 1999   88  0.2370  0.0086  0.0281  0.0266  0.0469  0.03
Cohen 1997   87  0.2484  0.0084  0.0283  0.0249  0.0683  0.03
Cortot 1951   21  0.5946  0.0028  0.0721  0.3358  0.0524  0.13
Csalog 1996   63  0.4648  0.0073  0.0372  0.0359  0.0477  0.03
Czerny 1949   14  0.6315  0.0013  0.099  0.5636  0.1711  0.31
Czerny 1990   15  0.6231  0.0015  0.0810  0.5076  0.0329  0.12
Duchoud 2007   56  0.4890  0.0038  0.0735  0.2057  0.0435  0.09
Ezaki 2006   24  0.5839  0.0019  0.0916  0.4553  0.0516  0.15
Falvay 1989   49  0.4922  0.0033  0.0641  0.1265  0.0538  0.08
Farrell 1958   60  0.4768  0.0061  0.0371  0.0362  0.0553  0.04
Ferenczy 1958   53  0.4837  0.0068  0.0459  0.0477  0.0380  0.03
Fliere 1977   9  0.6645  0.0017  0.0913  0.4777  0.0325  0.12
Fou 1978   64  0.4517  0.0051  0.0553  0.0574  0.0454  0.04
Francois 1956   28  0.5650  0.0049  0.0646  0.0674  0.0364  0.04
Friedman 1923   83  0.3224  0.0066  0.0461  0.0472  0.0565  0.04
Friedman 1923b   82  0.3235  0.0065  0.0367  0.0359  0.0561  0.04
Friedman 1930   58  0.4730  0.0032  0.0634  0.2142  0.1515  0.18
Garcia 2007   69  0.4269  0.0064  0.0366  0.0355  0.0559  0.04
Garcia 2007b   84  0.2926  0.0076  0.0378  0.0368  0.0487  0.03
Gierzod 1998   12  0.6487  0.0020  0.0817  0.4054  0.0423  0.13
Gornostaeva 1994   6  0.674  0.039  0.157  0.6225  0.307  0.43
Groot 1988   52  0.495  0.0212  0.1136  0.2080  0.0341  0.08
Harasiewicz 1955   57  0.4833  0.0010  0.1618  0.3950  0.0522  0.14
Hatto 1993   79  0.3688  0.0071  0.0370  0.0376  0.0385  0.03
Hatto 1997   75  0.3966  0.0069  0.0375  0.0374  0.0479  0.03
Horowitz 1949   42  0.5057  0.0058  0.0462  0.0448  0.0556  0.04
Indjic 1988   78  0.3789  0.0072  0.0463  0.0477  0.0376  0.03
Kapell 1951   13  0.6463  0.0026  0.0920  0.3665  0.0427  0.12
Kissin 1993   26  0.5634  0.0023  0.0728  0.2586  0.0332  0.09
Kushner 1989   10  0.6518  0.0025  0.0919  0.3762  0.0426  0.12
Luisada 1991   71  0.4156  0.0079  0.0282  0.0272  0.0466  0.03
Lushtak 2004   66  0.4391  0.0034  0.0632  0.2275  0.0339  0.08
Malcuzynski 1961   7  0.6721  0.008  0.1315  0.4715  0.388  0.42
Magaloff 1978   11  0.647  0.0111  0.1311  0.4834  0.2010  0.31
Magin 1975   32  0.5516  0.0047  0.0458  0.0467  0.0373  0.03
Michalowski 1933   62  0.4627  0.0056  0.0547  0.0566  0.0548  0.05
Milkina 1970   23  0.5878  0.0045  0.0445  0.0881  0.0444  0.06
Mohovich 1999   31  0.5523  0.0029  0.0638  0.1984  0.0340  0.08
Moravec 1969   20  0.596  0.0227  0.1022  0.3314  0.439  0.38
Morozova 2008   44  0.5032  0.0024  0.0725  0.2778  0.0333  0.09
Neighaus 1950   47  0.5061  0.0052  0.0454  0.0452  0.0563  0.04
Niedzielski 1931   40  0.5154  0.0062  0.0464  0.0472  0.0372  0.03
Ohlsson 1999   41  0.5128  0.0042  0.0642  0.1276  0.0345  0.06
Osinska 1989   22  0.5842  0.0031  0.0737  0.1974  0.0431  0.09
Pachmann 1927   76  0.3971  0.0083  0.0285  0.0248  0.0675  0.03
Paderewski 1930   33  0.5465  0.0055  0.0548  0.0572  0.0357  0.04
Perlemuter 1992   50  0.4919  0.0030  0.0631  0.2382  0.0337  0.08
Pierdomenico 2008   72  0.4182  0.0077  0.0373  0.0373  0.0370  0.03
Poblocka 1999   19  0.6060  0.0044  0.0444  0.0961  0.0542  0.07
Rabcewiczowa 1932   25  0.5720  0.0014  0.0823  0.2955  0.0430  0.11
Rachmaninoff 1923   16  0.623  0.055  0.216  0.6211  0.465  0.53
Rangell 2001   65  0.4541  0.0067  0.0460  0.0482  0.0384  0.03
Richter 1976   46  0.5014  0.0041  0.0740  0.1439  0.1419  0.14
Rosen 1989   34  0.5464  0.0054  0.0455  0.0481  0.0382  0.03
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   2  0.782  0.072  0.432  0.834  0.862  0.84
Rosenthal 1931b   3  0.7610  0.013  0.373  0.824  0.853  0.83
Rosenthal 1931c   1  0.871  0.691  0.681  0.894  0.901  0.89
Rosenthal 1931d   4  0.768  0.014  0.324  0.814  0.824  0.81
Rossi 2007   85  0.2943  0.0075  0.0379  0.0362  0.0468  0.03
Rubinstein 1939   80  0.3562  0.0088  0.0368  0.0364  0.0471  0.03
Rubinstein 1952   73  0.4047  0.0081  0.0288  0.0273  0.0486  0.03
Rubinstein 1966   68  0.4372  0.0082  0.0380  0.0361  0.0558  0.04
Schilhawsky 1960   18  0.6055  0.0022  0.0814  0.4752  0.0517  0.15
Shebanova 2002   54  0.4858  0.0070  0.0377  0.0388  0.0381  0.03
Smith 1975   17  0.619  0.0118  0.0812  0.4868  0.0418  0.14
Sokolov 2002   8  0.6738  0.007  0.248  0.6127  0.366  0.47
Sztompka 1959   27  0.5675  0.0039  0.0730  0.2452  0.0628  0.12
Tomsic 1995   67  0.4385  0.0074  0.0376  0.0385  0.0374  0.03
Uninsky 1932   45  0.5067  0.0050  0.0551  0.0550  0.0650  0.05
Uninsky 1971   36  0.5349  0.0053  0.0456  0.0450  0.0649  0.05
Wasowski 1980   70  0.4279  0.0078  0.0374  0.0383  0.0467  0.03
Zak 1937   48  0.4936  0.0059  0.0552  0.0571  0.0455  0.04
Zak 1951   51  0.4944  0.0048  0.0550  0.0561  0.0547  0.05
Average   5  0.7029  0.006  0.205  0.6878  0.0321  0.14
Random 1   91  -0.1053  0.0090  0.0190  0.0120  0.3646  0.06
Random 2   89  -0.0440  0.0089  0.0289  0.0216  0.2543  0.07
Random 3   90  -0.1076  0.0091  0.0191  0.0162  0.0491  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).