Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.5551  0.0036  0.0732  0.2262  0.0433  0.09
Anderszewski 2003   29  0.5512  0.0115  0.0825  0.2743  0.0721  0.14
Ashkenazy 1981   54  0.4813  0.0139  0.0738  0.1749  0.0535  0.09
Bacha 2000   80  0.3479  0.0086  0.0283  0.0282  0.0387  0.02
Badura 1965   60  0.4669  0.0020  0.0823  0.2841  0.1514  0.20
Barbosa 1983   85  0.2573  0.0084  0.0285  0.0280  0.0388  0.02
Biret 1990   34  0.5452  0.0045  0.0456  0.0479  0.0462  0.04
Blet 2003   42  0.5082  0.0062  0.0464  0.0485  0.0377  0.03
Block 1995   76  0.3885  0.0079  0.0286  0.0282  0.0389  0.02
Blumental 1952   73  0.4011  0.0142  0.0542  0.0976  0.0261  0.04
Boshniakovich 1969   38  0.5158  0.0056  0.0548  0.0555  0.0550  0.05
Brailowsky 1960   58  0.4725  0.0059  0.0368  0.0351  0.0552  0.04
Bunin 1987   36  0.5276  0.0034  0.0726  0.2536  0.2013  0.22
Bunin 1987b   37  0.5280  0.0035  0.0828  0.2536  0.2212  0.23
Chiu 1999   87  0.2370  0.0085  0.0280  0.0265  0.0469  0.03
Cohen 1997   86  0.2483  0.0083  0.0282  0.0248  0.0682  0.03
Cortot 1951   20  0.5946  0.0027  0.0720  0.3357  0.0525  0.13
Csalog 1996   62  0.4649  0.0072  0.0371  0.0358  0.0476  0.03
Czerny 1949   13  0.6315  0.0012  0.098  0.5635  0.1711  0.31
Czerny 1990   14  0.6230  0.0014  0.089  0.5075  0.0328  0.12
Duchoud 2007   55  0.4889  0.0037  0.0734  0.2056  0.0434  0.09
Ezaki 2006   23  0.5838  0.0018  0.0915  0.4552  0.0517  0.15
Falvay 1989   48  0.4923  0.0032  0.0640  0.1264  0.0537  0.08
Farrell 1958   59  0.4767  0.0060  0.0370  0.0361  0.0554  0.04
Ferenczy 1958   52  0.4836  0.0067  0.0458  0.0476  0.0379  0.03
Fliere 1977   8  0.6645  0.0016  0.0912  0.4776  0.0326  0.12
Fou 1978   63  0.4517  0.0050  0.0552  0.0573  0.0455  0.04
Francois 1956   27  0.5650  0.0048  0.0645  0.0673  0.0364  0.04
Friedman 1923   82  0.3224  0.0065  0.0460  0.0471  0.0565  0.04
Friedman 1923b   81  0.3234  0.0064  0.0466  0.0458  0.0651  0.05
Friedman 1930   57  0.4729  0.0031  0.0633  0.2141  0.1515  0.18
Garcia 2007   68  0.4268  0.0063  0.0465  0.0454  0.0560  0.04
Garcia 2007b   83  0.2926  0.0075  0.0377  0.0367  0.0486  0.03
Gierzod 1998   11  0.6486  0.0019  0.0816  0.4053  0.0522  0.14
Gornostaeva 1994   5  0.674  0.038  0.166  0.6224  0.307  0.43
Groot 1988   51  0.495  0.0211  0.1135  0.2079  0.0340  0.08
Harasiewicz 1955   56  0.4832  0.009  0.1617  0.3949  0.0523  0.14
Hatto 1993   78  0.3687  0.0070  0.0369  0.0375  0.0384  0.03
Hatto 1997   74  0.3965  0.0068  0.0374  0.0373  0.0478  0.03
Horowitz 1949   41  0.5057  0.0057  0.0461  0.0447  0.0557  0.04
Indjic 1988   77  0.3788  0.0071  0.0462  0.0476  0.0375  0.03
Kapell 1951   12  0.6462  0.0025  0.0919  0.3664  0.0427  0.12
Kissin 1993   25  0.5633  0.0022  0.0727  0.2585  0.0331  0.09
Kushner 1989   9  0.6518  0.0024  0.0918  0.3761  0.0519  0.14
Luisada 1991   70  0.4155  0.0078  0.0281  0.0271  0.0466  0.03
Lushtak 2004   65  0.4390  0.0033  0.0631  0.2274  0.0338  0.08
Malcuzynski 1961   6  0.6722  0.007  0.1314  0.4714  0.388  0.42
Magaloff 1978   10  0.647  0.0110  0.1310  0.4833  0.2010  0.31
Magin 1975   31  0.5516  0.0046  0.0457  0.0466  0.0453  0.04
Michalowski 1933   61  0.4627  0.0055  0.0546  0.0565  0.0547  0.05
Milkina 1970   22  0.5877  0.0044  0.0444  0.0880  0.0443  0.06
Mohovich 1999   30  0.5521  0.0028  0.0637  0.1983  0.0339  0.08
Moravec 1969   19  0.596  0.0226  0.1021  0.3313  0.439  0.38
Morozova 2008   43  0.5031  0.0023  0.0724  0.2777  0.0332  0.09
Neighaus 1950   46  0.5060  0.0051  0.0453  0.0451  0.0563  0.04
Niedzielski 1931   39  0.5153  0.0061  0.0463  0.0471  0.0372  0.03
Ohlsson 1999   40  0.5128  0.0041  0.0641  0.1275  0.0344  0.06
Osinska 1989   21  0.5842  0.0030  0.0736  0.1973  0.0430  0.09
Pachmann 1927   75  0.3971  0.0082  0.0284  0.0247  0.0674  0.03
Paderewski 1930   32  0.5464  0.0054  0.0547  0.0571  0.0358  0.04
Perlemuter 1992   49  0.4919  0.0029  0.0630  0.2381  0.0336  0.08
Pierdomenico 2008   71  0.4181  0.0076  0.0372  0.0372  0.0370  0.03
Poblocka 1999   18  0.6059  0.0043  0.0443  0.0960  0.0541  0.07
Rabcewiczowa 1932   24  0.5720  0.0013  0.0822  0.2954  0.0429  0.11
Rachmaninoff 1923   15  0.623  0.055  0.295  0.6210  0.465  0.53
Rangell 2001   64  0.4541  0.0066  0.0459  0.0481  0.0383  0.03
Richter 1976   45  0.5014  0.0040  0.0739  0.1438  0.1420  0.14
Rosen 1989   33  0.5463  0.0053  0.0454  0.0480  0.0381  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  0.383  0.824  0.853  0.83
Rosenthal 1931c   1  0.871  0.691  0.681  0.894  0.901  0.89
Rosenthal 1931d   4  0.769  0.014  0.334  0.814  0.824  0.81
Rossi 2007   84  0.2943  0.0074  0.0378  0.0361  0.0468  0.03
Rubinstein 1939   79  0.3561  0.0087  0.0367  0.0363  0.0471  0.03
Rubinstein 1952   72  0.4047  0.0080  0.0287  0.0272  0.0485  0.03
Rubinstein 1966   67  0.4372  0.0081  0.0379  0.0360  0.0559  0.04
Schilhawsky 1960   17  0.6056  0.0021  0.0813  0.4751  0.0616  0.17
Shebanova 2002   53  0.4840  0.0069  0.0376  0.0387  0.0380  0.03
Smith 1975   16  0.618  0.0117  0.0811  0.4867  0.0418  0.14
Sokolov 2002   7  0.6737  0.006  0.247  0.6126  0.366  0.47
Sztompka 1959   26  0.5674  0.0038  0.0729  0.2451  0.0724  0.13
Tomsic 1995   66  0.4384  0.0073  0.0375  0.0384  0.0373  0.03
Uninsky 1932   44  0.5066  0.0049  0.0550  0.0549  0.0649  0.05
Uninsky 1971   35  0.5348  0.0052  0.0455  0.0449  0.0648  0.05
Wasowski 1980   69  0.4278  0.0077  0.0373  0.0382  0.0467  0.03
Zak 1937   47  0.4935  0.0058  0.0551  0.0570  0.0456  0.04
Zak 1951   50  0.4944  0.0047  0.0549  0.0560  0.0546  0.05
Random 1   90  -0.1054  0.0089  0.0189  0.0121  0.3445  0.06
Random 2   88  -0.0439  0.0088  0.0288  0.0217  0.2342  0.07
Random 3   89  -0.1075  0.0090  0.0190  0.0161  0.0490  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).