Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.4423  0.0027  0.0821  0.4783  0.0325  0.12
Anderszewski 2003   34  0.4273  0.0043  0.0737  0.2286  0.0338  0.08
Ashkenazy 1981   50  0.3655  0.0038  0.0639  0.1981  0.0341  0.08
Bacha 2000   43  0.3856  0.0025  0.0834  0.2484  0.0334  0.08
Badura 1965   86  0.2229  0.0078  0.0382  0.0381  0.0376  0.03
Barbosa 1983   88  0.1957  0.0060  0.0468  0.0483  0.0370  0.03
Biret 1990   16  0.4845  0.0019  0.1511  0.6080  0.0322  0.13
Blet 2003   42  0.389  0.0036  0.0740  0.1963  0.0431  0.09
Block 1995   74  0.3074  0.0065  0.0473  0.0482  0.0378  0.03
Blumental 1952   14  0.4919  0.009  0.247  0.6947  0.0610  0.20
Boshniakovich 1969   62  0.3375  0.0076  0.0472  0.0486  0.0380  0.03
Brailowsky 1960   12  0.5030  0.0011  0.1613  0.5826  0.416  0.49
Bunin 1987   84  0.2446  0.0086  0.0380  0.0370  0.0481  0.03
Bunin 1987b   85  0.2336  0.0085  0.0285  0.0276  0.0465  0.03
Chiu 1999   79  0.2727  0.0047  0.0466  0.0475  0.0362  0.03
Cohen 1997   83  0.2547  0.0037  0.0644  0.1368  0.0444  0.07
Cortot 1951   60  0.3337  0.0074  0.0550  0.0576  0.0359  0.04
Csalog 1996   25  0.4458  0.0029  0.0928  0.3951  0.0519  0.14
Czerny 1949   45  0.3748  0.0057  0.0475  0.0485  0.0373  0.03
Czerny 1990   17  0.4859  0.0012  0.1714  0.5663  0.0513  0.17
Duchoud 2007   75  0.2976  0.0063  0.0554  0.0588  0.0274  0.03
Ezaki 2006   27  0.4449  0.0021  0.1216  0.5373  0.0415  0.15
Falvay 1989   19  0.4750  0.0017  0.1219  0.5057  0.0612  0.17
Farrell 1958   54  0.3538  0.0046  0.0746  0.0769  0.0447  0.05
Ferenczy 1958   48  0.3724  0.0061  0.0464  0.0470  0.0372  0.03
Fliere 1977   18  0.4715  0.0020  0.1626  0.4087  0.0229  0.09
Fou 1978   33  0.4332  0.0022  0.1020  0.4786  0.0324  0.12
Francois 1956   52  0.3660  0.0048  0.0465  0.0484  0.0385  0.03
Friedman 1923   67  0.316  0.0066  0.0461  0.0482  0.0386  0.03
Friedman 1923b   69  0.3161  0.0064  0.0474  0.0487  0.0282  0.03
Friedman 1930   61  0.3351  0.0070  0.0467  0.0482  0.0371  0.03
Garcia 2007   56  0.3462  0.0071  0.0463  0.0487  0.0375  0.03
Garcia 2007b   59  0.3463  0.0073  0.0647  0.0687  0.0361  0.04
Gierzod 1998   22  0.4577  0.0034  0.0731  0.3188  0.0239  0.08
Gornostaeva 1994   11  0.5012  0.0016  0.1517  0.5180  0.0326  0.12
Groot 1988   41  0.3964  0.0035  0.0732  0.3086  0.0333  0.09
Harasiewicz 1955   57  0.3478  0.0049  0.0460  0.0471  0.0460  0.04
Hatto 1993   72  0.3013  0.0067  0.0458  0.0469  0.0458  0.04
Hatto 1997   71  0.3179  0.0069  0.0551  0.0570  0.0455  0.04
Horowitz 1949   65  0.327  0.0075  0.0469  0.0470  0.0551  0.04
Indjic 1988   68  0.3180  0.0068  0.0549  0.0567  0.0452  0.04
Kapell 1951   21  0.4665  0.0031  0.0829  0.3588  0.0236  0.08
Kissin 1993   39  0.3966  0.0045  0.0645  0.1368  0.0443  0.07
Kushner 1989   23  0.4539  0.0044  0.0841  0.1877  0.0342  0.07
Luisada 1991   37  0.4067  0.0039  0.0642  0.1887  0.0245  0.06
Lushtak 2004   76  0.2981  0.0054  0.0470  0.0488  0.0377  0.03
Malcuzynski 1961   20  0.4720  0.0024  0.0827  0.4060  0.0420  0.13
Magaloff 1978   9  0.5116  0.0015  0.1515  0.5459  0.0416  0.15
Magin 1975   10  0.5133  0.0013  0.149  0.6383  0.0317  0.14
Michalowski 1933   38  0.4021  0.0040  0.0543  0.1457  0.0537  0.08
Milkina 1970   15  0.4968  0.0023  0.0922  0.4681  0.0418  0.14
Mohovich 1999   26  0.4482  0.0026  0.0824  0.4273  0.0421  0.13
Moravec 1969   6  0.5683  0.005  0.288  0.6512  0.595  0.62
Morozova 2008   55  0.3484  0.0050  0.0557  0.0570  0.0454  0.04
Neighaus 1950   77  0.2840  0.0081  0.0384  0.0382  0.0484  0.03
Niedzielski 1931   29  0.4325  0.0014  0.1418  0.5143  0.139  0.26
Ohlsson 1999   53  0.3585  0.0056  0.0471  0.0483  0.0368  0.03
Osinska 1989   28  0.4331  0.0042  0.0638  0.2188  0.0246  0.06
Pachmann 1927   70  0.3141  0.0082  0.0289  0.0284  0.0290  0.02
Paderewski 1930   66  0.3152  0.0077  0.0376  0.0386  0.0366  0.03
Perlemuter 1992   64  0.3334  0.0072  0.0548  0.0587  0.0348  0.04
Pierdomenico 2008   78  0.2811  0.0080  0.0378  0.0384  0.0363  0.03
Poblocka 1999   30  0.4342  0.0041  0.0635  0.2281  0.0335  0.08
Rabcewiczowa 1932   7  0.5310  0.007  0.2312  0.6029  0.268  0.39
Rachmaninoff 1923   8  0.535  0.006  0.226  0.7436  0.217  0.39
Rangell 2001   73  0.3069  0.0079  0.0383  0.0383  0.0383  0.03
Richter 1976   87  0.2186  0.0088  0.0379  0.0386  0.0289  0.02
Rosen 1989   32  0.4335  0.0028  0.0830  0.3288  0.0240  0.08
Rosenthal 1930   4  0.774  0.014  0.824  0.923  0.914  0.91
Rosenthal 1931   2  0.883  0.102  0.742  0.972  0.962  0.96
Rosenthal 1931b   1  0.901  0.731  0.731  0.971  0.971  0.97
Rosenthal 1931c   3  0.862  0.143  0.863  0.961  0.963  0.96
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   63  0.3343  0.0062  0.0552  0.0561  0.0449  0.04
Rubinstein 1939   36  0.4122  0.0030  0.0825  0.4175  0.0327  0.11
Rubinstein 1952   35  0.4270  0.0018  0.1523  0.4565  0.0423  0.13
Rubinstein 1966   49  0.3687  0.0055  0.0462  0.0484  0.0453  0.04
Schilhawsky 1960   47  0.3717  0.0032  0.0736  0.2262  0.0432  0.09
Shebanova 2002   44  0.3888  0.0053  0.0553  0.0576  0.0457  0.04
Smith 1975   13  0.5089  0.0010  0.1910  0.6169  0.0414  0.16
Sokolov 2002   31  0.438  0.0033  0.0633  0.3073  0.0330  0.09
Sztompka 1959   40  0.3953  0.0052  0.0459  0.0485  0.0367  0.03
Tomsic 1995   82  0.2671  0.0083  0.0287  0.0283  0.0388  0.02
Uninsky 1932   58  0.3418  0.0051  0.0555  0.0584  0.0356  0.04
Uninsky 1971   80  0.2690  0.0087  0.0381  0.0386  0.0369  0.03
Wasowski 1980   81  0.2628  0.0084  0.0286  0.0285  0.0387  0.02
Zak 1937   46  0.3714  0.0058  0.0377  0.0377  0.0464  0.03
Zak 1951   51  0.3691  0.0059  0.0556  0.0580  0.0450  0.04
Average   5  0.5726  0.008  0.305  0.7869  0.0411  0.18
Random 1   90  -0.0954  0.0090  0.0290  0.0256  0.0479  0.03
Random 2   89  0.0044  0.0089  0.0288  0.027  0.4828  0.10
Random 3   91  -0.1172  0.0091  0.0191  0.0187  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).