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  0.5659  0.0031  0.0526  0.2164  0.0432  0.09
Anderszewski 2003   33  0.5521  0.0024  0.0820  0.2748  0.0618  0.13
Ashkenazy 1981   70  0.3918  0.0034  0.0440  0.1057  0.0445  0.06
Bacha 2000   78  0.3658  0.0068  0.0379  0.0359  0.0465  0.03
Badura 1965   71  0.3848  0.0048  0.0461  0.0474  0.0460  0.04
Barbosa 1983   87  0.1342  0.0086  0.0378  0.0388  0.0288  0.02
Biret 1990   39  0.5233  0.0036  0.0439  0.1078  0.0356  0.05
Blet 2003   46  0.4935  0.0062  0.0372  0.0370  0.0476  0.03
Block 1995   83  0.3178  0.0084  0.0383  0.0378  0.0380  0.03
Blumental 1952   54  0.4614  0.0114  0.0725  0.2363  0.0426  0.10
Boshniakovich 1969   35  0.5432  0.0040  0.0432  0.1346  0.0728  0.10
Brailowsky 1960   53  0.4629  0.0061  0.0459  0.0466  0.0457  0.04
Bunin 1987   66  0.4140  0.0046  0.0460  0.0448  0.0755  0.05
Bunin 1987b   68  0.4066  0.0047  0.0454  0.0448  0.0748  0.05
Chiu 1999   85  0.2482  0.0078  0.0287  0.0269  0.0387  0.02
Cohen 1997   86  0.2079  0.0071  0.0370  0.0338  0.1738  0.07
Cortot 1951   34  0.5583  0.0042  0.0437  0.1066  0.0446  0.06
Csalog 1996   19  0.5951  0.0017  0.0621  0.2612  0.399  0.32
Czerny 1949   22  0.5943  0.0020  0.0715  0.3257  0.0519  0.13
Czerny 1990   21  0.5984  0.0018  0.0618  0.2950  0.0422  0.11
Duchoud 2007   79  0.3673  0.0030  0.0530  0.1454  0.0535  0.08
Ezaki 2006   43  0.5085  0.0027  0.0628  0.1858  0.0433  0.08
Falvay 1989   56  0.4567  0.0064  0.0367  0.0339  0.2529  0.09
Farrell 1958   69  0.3970  0.0067  0.0381  0.0381  0.0372  0.03
Ferenczy 1958   57  0.4545  0.0072  0.0465  0.0473  0.0379  0.03
Fliere 1977   12  0.6337  0.0022  0.0717  0.3077  0.0420  0.11
Fou 1978   48  0.4816  0.0135  0.0436  0.1181  0.0340  0.06
Francois 1956   50  0.4752  0.0069  0.0371  0.0367  0.0485  0.03
Friedman 1923   73  0.3738  0.0081  0.0286  0.0283  0.0390  0.02
Friedman 1923b   72  0.3723  0.0080  0.0382  0.0381  0.0381  0.03
Friedman 1930   61  0.4322  0.0076  0.0369  0.0365  0.0478  0.03
Garcia 2007   36  0.5474  0.0041  0.0535  0.1180  0.0344  0.06
Garcia 2007b   41  0.5160  0.0050  0.0452  0.0480  0.0386  0.03
Gierzod 1998   13  0.6327  0.0019  0.0613  0.3349  0.0616  0.14
Gornostaeva 1994   6  0.669  0.0111  0.109  0.3924  0.2210  0.29
Groot 1988   82  0.3349  0.0079  0.0380  0.0387  0.0383  0.03
Harasiewicz 1955   45  0.4936  0.0015  0.0722  0.2556  0.0523  0.11
Hatto 1993   81  0.3586  0.0074  0.0366  0.0356  0.0664  0.04
Hatto 1997   74  0.3787  0.0073  0.0450  0.0451  0.0651  0.05
Horowitz 1949   58  0.4446  0.0065  0.0375  0.0370  0.0474  0.03
Indjic 1988   77  0.3688  0.0075  0.0456  0.0454  0.0649  0.05
Kapell 1951   5  0.7075  0.0010  0.127  0.4851  0.0513  0.15
Kissin 1993   11  0.6328  0.0012  0.1011  0.3483  0.0325  0.10
Kushner 1989   18  0.5930  0.0038  0.0442  0.0975  0.0441  0.06
Luisada 1991   63  0.4244  0.0059  0.0548  0.0587  0.0266  0.03
Lushtak 2004   67  0.4180  0.0056  0.0455  0.0468  0.0461  0.04
Malcuzynski 1961   9  0.645  0.036  0.1710  0.3610  0.417  0.38
Magaloff 1978   20  0.5915  0.0113  0.0723  0.2537  0.1911  0.22
Magin 1975   16  0.6053  0.0029  0.0524  0.2471  0.0424  0.10
Michalowski 1933   24  0.5854  0.0033  0.0529  0.1564  0.0531  0.09
Milkina 1970   10  0.6424  0.0021  0.0619  0.2982  0.0330  0.09
Mohovich 1999   38  0.5361  0.0053  0.0549  0.0581  0.0463  0.04
Moravec 1969   14  0.637  0.027  0.136  0.505  0.565  0.53
Morozova 2008   52  0.4663  0.0037  0.0445  0.0778  0.0350  0.05
Neighaus 1950   60  0.4441  0.0066  0.0374  0.0374  0.0484  0.03
Niedzielski 1931   30  0.5655  0.0045  0.0458  0.0483  0.0371  0.03
Ohlsson 1999   49  0.4817  0.0043  0.0441  0.0964  0.0443  0.06
Osinska 1989   25  0.5834  0.0032  0.0534  0.1284  0.0339  0.06
Pachmann 1927   28  0.5668  0.0044  0.0443  0.0828  0.2414  0.14
Paderewski 1930   37  0.5456  0.0049  0.0463  0.0480  0.0375  0.03
Perlemuter 1992   55  0.4669  0.0055  0.0462  0.0481  0.0368  0.03
Pierdomenico 2008   84  0.2747  0.0087  0.0373  0.0385  0.0370  0.03
Poblocka 1999   7  0.6539  0.0023  0.0912  0.3367  0.0421  0.11
Rabcewiczowa 1932   15  0.628  0.019  0.1014  0.3335  0.1412  0.21
Rachmaninoff 1923   8  0.643  0.055  0.305  0.6215  0.356  0.47
Rangell 2001   59  0.4462  0.0054  0.0457  0.0480  0.0382  0.03
Richter 1976   51  0.4611  0.0125  0.0733  0.1242  0.1517  0.13
Rosen 1989   27  0.5657  0.0052  0.0453  0.0453  0.0562  0.04
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   3  0.852  0.073  0.373  0.824  0.834  0.82
Rosenthal 1931b   2  0.856  0.032  0.302  0.834  0.862  0.84
Rosenthal 1931c   1  0.881  0.621  0.611  0.864  0.861  0.86
Rosenthal 1931d   4  0.844  0.044  0.514  0.814  0.853  0.83
Rossi 2007   80  0.3550  0.0077  0.0285  0.0260  0.0569  0.03
Rubinstein 1939   64  0.4231  0.0063  0.0368  0.0353  0.0558  0.04
Rubinstein 1952   62  0.4371  0.0026  0.0638  0.1056  0.0636  0.08
Rubinstein 1966   75  0.3664  0.0083  0.0377  0.0374  0.0477  0.03
Schilhawsky 1960   23  0.5920  0.0016  0.0616  0.3151  0.0615  0.14
Shebanova 2002   32  0.5676  0.0051  0.0451  0.0448  0.0653  0.05
Smith 1975   26  0.5710  0.0128  0.0631  0.1458  0.0437  0.07
Sokolov 2002   17  0.6013  0.018  0.118  0.4425  0.248  0.32
Sztompka 1959   31  0.5612  0.0139  0.0427  0.1873  0.0434  0.08
Tomsic 1995   76  0.3689  0.0085  0.0284  0.0258  0.0673  0.03
Uninsky 1932   42  0.5125  0.0060  0.0547  0.0560  0.0552  0.05
Uninsky 1971   47  0.4877  0.0070  0.0464  0.0469  0.0459  0.04
Wasowski 1980   65  0.4190  0.0082  0.0376  0.0374  0.0467  0.03
Zak 1937   40  0.5165  0.0057  0.0546  0.0551  0.0547  0.05
Zak 1951   44  0.5026  0.0058  0.0744  0.0750  0.0542  0.06
Random 1   89  -0.1372  0.0088  0.0288  0.029  0.4727  0.10
Random 2   88  -0.1219  0.0089  0.0289  0.0233  0.1454  0.05
Random 3   90  -0.2681  0.0090  0.0190  0.0172  0.0389  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).