Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.5043  0.0019  0.0816  0.5270  0.0420  0.14
Anderszewski 2003   29  0.4775  0.0038  0.0629  0.3073  0.0337  0.09
Ashkenazy 1981   62  0.3916  0.0028  0.0830  0.2872  0.0341  0.09
Bacha 2000   70  0.3659  0.0054  0.0451  0.0474  0.0363  0.03
Badura 1965   79  0.3455  0.0062  0.0383  0.0371  0.0479  0.03
Barbosa 1983   85  0.2635  0.0081  0.0285  0.0285  0.0388  0.02
Biret 1990   23  0.5014  0.0021  0.0818  0.5157  0.0514  0.16
Blet 2003   49  0.4220  0.0056  0.0459  0.0488  0.0273  0.03
Block 1995   81  0.3376  0.0078  0.0382  0.0387  0.0289  0.02
Blumental 1952   25  0.488  0.019  0.179  0.6476  0.0413  0.16
Boshniakovich 1969   35  0.4549  0.0035  0.0742  0.1977  0.0439  0.09
Brailowsky 1960   19  0.5110  0.0014  0.1117  0.5218  0.497  0.50
Bunin 1987   72  0.3684  0.0052  0.0646  0.0675  0.0359  0.04
Bunin 1987b   77  0.3560  0.0051  0.0458  0.0463  0.0452  0.04
Chiu 1999   84  0.2785  0.0079  0.0381  0.0387  0.0367  0.03
Cohen 1997   88  0.2477  0.0057  0.0373  0.0357  0.0481  0.03
Cortot 1951   53  0.4136  0.0048  0.0449  0.0477  0.0383  0.03
Csalog 1996   36  0.4539  0.0041  0.0839  0.1966  0.0436  0.09
Czerny 1949   27  0.4813  0.0029  0.0728  0.3476  0.0425  0.12
Czerny 1990   18  0.5132  0.0015  0.1214  0.5368  0.0417  0.15
Duchoud 2007   83  0.2971  0.0071  0.0363  0.0381  0.0378  0.03
Ezaki 2006   34  0.4561  0.0040  0.0732  0.2772  0.0429  0.10
Falvay 1989   52  0.4186  0.0061  0.0365  0.0356  0.0650  0.04
Farrell 1958   66  0.3852  0.0064  0.0376  0.0375  0.0469  0.03
Ferenczy 1958   50  0.4221  0.0067  0.0364  0.0366  0.0376  0.03
Fliere 1977   8  0.5618  0.0011  0.1211  0.5667  0.0415  0.15
Fou 1978   33  0.4611  0.0030  0.0727  0.3587  0.0330  0.10
Francois 1956   58  0.3958  0.0070  0.0372  0.0366  0.0484  0.03
Friedman 1923   74  0.3529  0.0075  0.0362  0.0371  0.0562  0.04
Friedman 1923b   69  0.3617  0.0072  0.0370  0.0379  0.0382  0.03
Friedman 1930   57  0.3962  0.0069  0.0371  0.0355  0.0556  0.04
Garcia 2007   68  0.3678  0.0084  0.0456  0.0477  0.0458  0.04
Garcia 2007b   59  0.3953  0.0073  0.0368  0.0353  0.0561  0.04
Gierzod 1998   12  0.5530  0.0018  0.1021  0.4968  0.0421  0.14
Gornostaeva 1994   14  0.5365  0.0023  0.0824  0.4381  0.0328  0.11
Groot 1988   60  0.3928  0.0027  0.0735  0.2568  0.0434  0.10
Harasiewicz 1955   37  0.4550  0.0026  0.0826  0.3570  0.0426  0.12
Hatto 1993   63  0.3966  0.0042  0.0838  0.1965  0.0442  0.09
Hatto 1997   61  0.3972  0.0046  0.0548  0.0578  0.0457  0.04
Horowitz 1949   44  0.4325  0.0033  0.0743  0.1754  0.0631  0.10
Indjic 1988   64  0.3956  0.0047  0.0647  0.0660  0.0547  0.05
Kapell 1951   15  0.5357  0.0022  0.0922  0.4662  0.0419  0.14
Kissin 1993   28  0.4879  0.0039  0.0736  0.2381  0.0343  0.08
Kushner 1989   31  0.4667  0.0060  0.0457  0.0487  0.0270  0.03
Luisada 1991   54  0.4037  0.0059  0.0374  0.0388  0.0285  0.02
Lushtak 2004   56  0.4080  0.0031  0.0637  0.2374  0.0344  0.08
Malcuzynski 1961   16  0.535  0.0310  0.1225  0.4034  0.1611  0.25
Magaloff 1978   10  0.5581  0.0013  0.1513  0.5334  0.219  0.33
Magin 1975   13  0.5431  0.0020  0.0819  0.5181  0.0324  0.12
Michalowski 1933   41  0.4447  0.0034  0.0640  0.1955  0.0533  0.10
Milkina 1970   21  0.5073  0.0037  0.0731  0.2884  0.0335  0.09
Mohovich 1999   30  0.4768  0.0043  0.0841  0.1970  0.0440  0.09
Moravec 1969   7  0.5833  0.007  0.317  0.678  0.606  0.63
Morozova 2008   65  0.3848  0.0058  0.0375  0.0378  0.0375  0.03
Neighaus 1950   55  0.4044  0.0053  0.0452  0.0478  0.0460  0.04
Niedzielski 1931   24  0.499  0.0016  0.1415  0.5248  0.0612  0.18
Ohlsson 1999   51  0.4182  0.0049  0.0454  0.0464  0.0554  0.04
Osinska 1989   39  0.4563  0.0055  0.0369  0.0386  0.0365  0.03
Pachmann 1927   47  0.4251  0.0074  0.0367  0.0350  0.0553  0.04
Paderewski 1930   73  0.3569  0.0080  0.0377  0.0354  0.0472  0.03
Perlemuter 1992   78  0.3474  0.0077  0.0287  0.0270  0.0464  0.03
Pierdomenico 2008   87  0.2683  0.0088  0.0366  0.0388  0.0286  0.02
Poblocka 1999   11  0.5527  0.0017  0.1212  0.5468  0.0416  0.15
Rabcewiczowa 1932   9  0.5522  0.008  0.2310  0.5732  0.218  0.35
Rachmaninoff 1923   6  0.617  0.015  0.505  0.824  0.595  0.70
Rangell 2001   80  0.3315  0.0085  0.0288  0.0288  0.0291  0.02
Richter 1976   38  0.4540  0.0032  0.0633  0.2659  0.0527  0.11
Rosen 1989   40  0.4538  0.0050  0.0453  0.0486  0.0380  0.03
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   4  0.773  0.083  0.524  0.894  0.884  0.88
Rosenthal 1931b   2  0.792  0.142  0.562  0.924  0.931  0.92
Rosenthal 1931c   1  0.811  0.601  0.591  0.924  0.922  0.92
Rosenthal 1931d   3  0.774  0.064  0.703  0.914  0.923  0.91
Rossi 2007   82  0.2970  0.0086  0.0379  0.0386  0.0366  0.03
Rubinstein 1939   75  0.3587  0.0076  0.0384  0.0377  0.0368  0.03
Rubinstein 1952   67  0.3734  0.0044  0.0644  0.1283  0.0346  0.06
Rubinstein 1966   76  0.3588  0.0082  0.0378  0.0385  0.0474  0.03
Schilhawsky 1960   17  0.5323  0.0012  0.158  0.6644  0.1010  0.26
Shebanova 2002   42  0.4341  0.0045  0.0545  0.1087  0.0348  0.05
Smith 1975   22  0.5012  0.0024  0.1020  0.4974  0.0418  0.14
Sokolov 2002   26  0.4845  0.0025  0.1023  0.4563  0.0422  0.13
Sztompka 1959   32  0.4626  0.0036  0.0834  0.2572  0.0432  0.10
Tomsic 1995   86  0.2689  0.0087  0.0286  0.0287  0.0287  0.02
Uninsky 1932   43  0.4346  0.0063  0.0380  0.0380  0.0377  0.03
Uninsky 1971   45  0.4290  0.0068  0.0455  0.0476  0.0455  0.04
Wasowski 1980   71  0.3642  0.0083  0.0450  0.0470  0.0449  0.04
Zak 1937   46  0.4254  0.0066  0.0460  0.0481  0.0451  0.04
Zak 1951   48  0.4219  0.0065  0.0361  0.0377  0.0471  0.03
Average   5  0.626  0.026  0.236  0.7986  0.0223  0.13
Random 1   90  -0.0891  0.0089  0.0289  0.0219  0.3145  0.08
Random 2   89  -0.0124  0.0090  0.0290  0.0214  0.3738  0.09
Random 3   91  -0.0964  0.0091  0.0191  0.0162  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).