Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.4423  0.0026  0.0820  0.4782  0.0324  0.12
Anderszewski 2003   33  0.4272  0.0042  0.0736  0.2285  0.0337  0.08
Ashkenazy 1981   49  0.3654  0.0037  0.0638  0.1980  0.0340  0.08
Bacha 2000   42  0.3855  0.0024  0.0833  0.2483  0.0333  0.08
Badura 1965   85  0.2228  0.0077  0.0381  0.0380  0.0375  0.03
Barbosa 1983   87  0.1956  0.0059  0.0467  0.0482  0.0369  0.03
Biret 1990   15  0.4845  0.0018  0.1510  0.6079  0.0321  0.13
Blet 2003   41  0.389  0.0035  0.0839  0.1962  0.0430  0.09
Block 1995   73  0.3073  0.0064  0.0472  0.0481  0.0377  0.03
Blumental 1952   13  0.4919  0.008  0.246  0.6946  0.0610  0.20
Boshniakovich 1969   61  0.3374  0.0075  0.0471  0.0485  0.0378  0.03
Brailowsky 1960   11  0.5029  0.0010  0.1612  0.5825  0.416  0.49
Bunin 1987   83  0.2446  0.0085  0.0379  0.0369  0.0479  0.03
Bunin 1987b   84  0.2336  0.0084  0.0284  0.0275  0.0464  0.03
Chiu 1999   78  0.2726  0.0046  0.0465  0.0474  0.0361  0.03
Cohen 1997   82  0.2547  0.0036  0.0643  0.1367  0.0443  0.07
Cortot 1951   59  0.3337  0.0073  0.0549  0.0575  0.0358  0.04
Csalog 1996   24  0.4457  0.0028  0.0927  0.3950  0.0518  0.14
Czerny 1949   44  0.3738  0.0056  0.0474  0.0484  0.0372  0.03
Czerny 1990   16  0.4858  0.0011  0.1713  0.5662  0.0512  0.17
Duchoud 2007   74  0.2975  0.0062  0.0553  0.0587  0.0273  0.03
Ezaki 2006   26  0.4448  0.0020  0.1215  0.5372  0.0414  0.15
Falvay 1989   18  0.4749  0.0016  0.1218  0.5056  0.0611  0.17
Farrell 1958   53  0.3530  0.0045  0.0745  0.0768  0.0446  0.05
Ferenczy 1958   47  0.3724  0.0060  0.0463  0.0469  0.0371  0.03
Fliere 1977   17  0.4715  0.0019  0.1625  0.4086  0.0228  0.09
Fou 1978   32  0.4332  0.0021  0.1019  0.4785  0.0323  0.12
Francois 1956   51  0.3659  0.0047  0.0464  0.0483  0.0383  0.03
Friedman 1923   66  0.317  0.0065  0.0460  0.0481  0.0384  0.03
Friedman 1923b   68  0.3160  0.0063  0.0473  0.0486  0.0280  0.03
Friedman 1930   60  0.3350  0.0069  0.0466  0.0481  0.0370  0.03
Garcia 2007   55  0.3461  0.0070  0.0462  0.0486  0.0374  0.03
Garcia 2007b   58  0.3462  0.0072  0.0646  0.0686  0.0360  0.04
Gierzod 1998   21  0.4576  0.0033  0.0730  0.3187  0.0238  0.08
Gornostaeva 1994   10  0.5012  0.0015  0.1516  0.5179  0.0325  0.12
Groot 1988   40  0.3963  0.0034  0.0731  0.3085  0.0332  0.09
Harasiewicz 1955   56  0.3477  0.0048  0.0459  0.0470  0.0459  0.04
Hatto 1993   71  0.3013  0.0066  0.0457  0.0468  0.0457  0.04
Hatto 1997   70  0.3178  0.0068  0.0550  0.0569  0.0454  0.04
Horowitz 1949   64  0.328  0.0074  0.0468  0.0469  0.0550  0.04
Indjic 1988   67  0.3179  0.0067  0.0548  0.0566  0.0451  0.04
Kapell 1951   20  0.4664  0.0030  0.0828  0.3587  0.0235  0.08
Kissin 1993   38  0.3965  0.0044  0.0644  0.1367  0.0442  0.07
Kushner 1989   22  0.4539  0.0043  0.0840  0.1876  0.0341  0.07
Luisada 1991   36  0.4066  0.0038  0.0641  0.1886  0.0244  0.06
Lushtak 2004   75  0.2980  0.0053  0.0469  0.0487  0.0376  0.03
Malcuzynski 1961   19  0.4720  0.0023  0.0826  0.4059  0.0419  0.13
Magaloff 1978   8  0.5116  0.0014  0.1514  0.5458  0.0415  0.15
Magin 1975   9  0.5133  0.0012  0.148  0.6382  0.0316  0.14
Michalowski 1933   37  0.4021  0.0039  0.0542  0.1456  0.0536  0.08
Milkina 1970   14  0.4967  0.0022  0.0921  0.4680  0.0417  0.14
Mohovich 1999   25  0.4481  0.0025  0.0823  0.4272  0.0420  0.13
Moravec 1969   5  0.5682  0.005  0.297  0.6511  0.595  0.62
Morozova 2008   54  0.3483  0.0049  0.0556  0.0569  0.0453  0.04
Neighaus 1950   76  0.2840  0.0080  0.0383  0.0381  0.0482  0.03
Niedzielski 1931   28  0.4325  0.0013  0.1417  0.5142  0.139  0.26
Ohlsson 1999   52  0.3584  0.0055  0.0470  0.0482  0.0367  0.03
Osinska 1989   27  0.4331  0.0041  0.0637  0.2187  0.0245  0.06
Pachmann 1927   69  0.3141  0.0081  0.0288  0.0283  0.0288  0.02
Paderewski 1930   65  0.3151  0.0076  0.0375  0.0385  0.0365  0.03
Perlemuter 1992   63  0.3334  0.0071  0.0647  0.0686  0.0347  0.04
Pierdomenico 2008   77  0.2811  0.0079  0.0377  0.0383  0.0362  0.03
Poblocka 1999   29  0.4342  0.0040  0.0634  0.2280  0.0334  0.08
Rabcewiczowa 1932   6  0.5310  0.007  0.3011  0.6028  0.268  0.39
Rachmaninoff 1923   7  0.535  0.006  0.245  0.7435  0.217  0.39
Rangell 2001   72  0.3068  0.0078  0.0382  0.0382  0.0381  0.03
Richter 1976   86  0.2185  0.0087  0.0378  0.0385  0.0287  0.02
Rosen 1989   31  0.4335  0.0027  0.0829  0.3287  0.0239  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   62  0.3343  0.0061  0.0551  0.0560  0.0448  0.04
Rubinstein 1939   35  0.4122  0.0029  0.0824  0.4174  0.0326  0.11
Rubinstein 1952   34  0.4269  0.0017  0.1622  0.4564  0.0422  0.13
Rubinstein 1966   48  0.3686  0.0054  0.0461  0.0483  0.0452  0.04
Schilhawsky 1960   46  0.3717  0.0031  0.0735  0.2261  0.0431  0.09
Shebanova 2002   43  0.3887  0.0052  0.0552  0.0575  0.0456  0.04
Smith 1975   12  0.5088  0.009  0.209  0.6168  0.0413  0.16
Sokolov 2002   30  0.436  0.0032  0.0632  0.3072  0.0329  0.09
Sztompka 1959   39  0.3952  0.0051  0.0458  0.0484  0.0366  0.03
Tomsic 1995   81  0.2670  0.0082  0.0286  0.0282  0.0386  0.02
Uninsky 1932   57  0.3418  0.0050  0.0554  0.0583  0.0355  0.04
Uninsky 1971   79  0.2689  0.0086  0.0380  0.0385  0.0368  0.03
Wasowski 1980   80  0.2627  0.0083  0.0285  0.0284  0.0385  0.02
Zak 1937   45  0.3714  0.0057  0.0376  0.0376  0.0463  0.03
Zak 1951   50  0.3690  0.0058  0.0555  0.0579  0.0449  0.04
Random 1   89  -0.0953  0.0089  0.0289  0.0256  0.0389  0.02
Random 2   88  0.0044  0.0088  0.0287  0.028  0.4627  0.10
Random 3   90  -0.1171  0.0090  0.0190  0.0186  0.0290  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).