Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.3030  0.0045  0.0645  0.1183  0.0248  0.05
Anderszewski 2003   13  0.4349  0.0010  0.1316  0.4538  0.198  0.29
Ashkenazy 1981   30  0.3650  0.0036  0.0634  0.1887  0.0344  0.07
Bacha 2000   36  0.3431  0.0060  0.0456  0.0452  0.0550  0.04
Badura 1965   65  0.2551  0.0054  0.0464  0.0474  0.0375  0.03
Barbosa 1983   79  0.1814  0.0083  0.0283  0.0289  0.0285  0.02
Biret 1990   66  0.2415  0.0075  0.0465  0.0484  0.0379  0.03
Blet 2003   77  0.2152  0.0080  0.0284  0.0287  0.0286  0.02
Block 1995   21  0.3832  0.0029  0.0828  0.2660  0.0427  0.10
Blumental 1952   76  0.2153  0.0065  0.0373  0.0355  0.0476  0.03
Boshniakovich 1969   42  0.3221  0.0030  0.0730  0.2262  0.0433  0.09
Brailowsky 1960   5  0.5116  0.005  0.217  0.609  0.505  0.55
Bunin 1987   27  0.3754  0.0035  0.0732  0.2059  0.0434  0.09
Bunin 1987b   26  0.3755  0.0033  0.0631  0.2167  0.0431  0.09
Chiu 1999   63  0.2533  0.0056  0.0555  0.0576  0.0452  0.04
Cohen 1997   38  0.349  0.0032  0.0727  0.2722  0.357  0.31
Cortot 1951   53  0.2934  0.0074  0.0370  0.0375  0.0381  0.03
Csalog 1996   86  0.1056  0.0090  0.0190  0.0188  0.0291  0.01
Czerny 1949   55  0.2857  0.0041  0.0639  0.1677  0.0342  0.07
Czerny 1990   75  0.2222  0.0078  0.0381  0.0381  0.0378  0.03
Duchoud 2007   67  0.2458  0.0076  0.0466  0.0487  0.0273  0.03
Ezaki 2006   12  0.447  0.0015  0.068  0.5466  0.0416  0.15
Falvay 1989   25  0.3810  0.0024  0.1122  0.3581  0.0326  0.10
Farrell 1958   35  0.3459  0.0052  0.0460  0.0479  0.0366  0.03
Ferenczy 1958   57  0.274  0.0071  0.0379  0.0361  0.0472  0.03
Fliere 1977   29  0.3660  0.0031  0.0833  0.2087  0.0245  0.06
Fou 1978   14  0.4335  0.0017  0.0813  0.4751  0.0614  0.17
Francois 1956   39  0.3436  0.0026  0.0625  0.3373  0.0329  0.10
Friedman 1923   81  0.1661  0.0066  0.0376  0.0356  0.0661  0.04
Friedman 1923b   82  0.1662  0.0067  0.0367  0.0367  0.0477  0.03
Friedman 1930   73  0.2223  0.0042  0.0644  0.1350  0.0539  0.08
Garcia 2007   71  0.2363  0.0064  0.0368  0.0363  0.0474  0.03
Garcia 2007b   83  0.1637  0.0063  0.0457  0.0454  0.0460  0.04
Gierzod 1998   8  0.4764  0.009  0.1310  0.5146  0.0813  0.20
Gornostaeva 1994   10  0.4465  0.0018  0.0715  0.4648  0.0518  0.15
Groot 1988   22  0.3838  0.0014  0.0620  0.3864  0.0424  0.12
Harasiewicz 1955   31  0.3666  0.0022  0.1118  0.4276  0.0325  0.11
Hatto 1993   64  0.2567  0.0072  0.0371  0.0362  0.0480  0.03
Hatto 1997   56  0.2868  0.0048  0.0552  0.0584  0.0359  0.04
Horowitz 1949   20  0.3869  0.0023  0.1221  0.3739  0.1212  0.21
Indjic 1988   70  0.2370  0.0077  0.0461  0.0469  0.0458  0.04
Kapell 1951   72  0.2371  0.0084  0.0372  0.0390  0.0283  0.02
Kissin 1993   41  0.3339  0.0037  0.0640  0.1574  0.0438  0.08
Kushner 1989   11  0.4472  0.0021  0.1026  0.2874  0.0330  0.09
Luisada 1991   45  0.3240  0.0061  0.0459  0.0486  0.0362  0.03
Lushtak 2004   49  0.3073  0.0040  0.0541  0.1572  0.0343  0.07
Malcuzynski 1961   9  0.4641  0.0016  0.0712  0.4960  0.0419  0.14
Magaloff 1978   7  0.5074  0.006  0.246  0.6133  0.186  0.33
Magin 1975   32  0.3575  0.0034  0.0637  0.1761  0.0436  0.08
Michalowski 1933   87  0.0876  0.0081  0.0288  0.0276  0.0470  0.03
Milkina 1970   18  0.4077  0.0013  0.0619  0.3941  0.1610  0.25
Mohovich 1999   19  0.4078  0.0011  0.0814  0.4653  0.0517  0.15
Moravec 1969   44  0.3217  0.0049  0.0553  0.0582  0.0351  0.04
Morozova 2008   24  0.385  0.0012  0.0711  0.5059  0.0420  0.14
Neighaus 1950   23  0.3842  0.0027  0.0624  0.3479  0.0328  0.10
Niedzielski 1931   62  0.2518  0.0062  0.0546  0.0566  0.0454  0.04
Ohlsson 1999   54  0.2879  0.0073  0.0377  0.0383  0.0369  0.03
Osinska 1989   61  0.2580  0.0069  0.0374  0.0381  0.0363  0.03
Pachmann 1927   68  0.2381  0.0047  0.0458  0.0472  0.0368  0.03
Paderewski 1930   60  0.2719  0.0070  0.0369  0.0366  0.0367  0.03
Perlemuter 1992   51  0.2982  0.0043  0.0635  0.1861  0.0435  0.08
Pierdomenico 2008   59  0.2783  0.0058  0.0549  0.0556  0.0453  0.04
Poblocka 1999   69  0.2384  0.0085  0.0282  0.0287  0.0382  0.02
Rabcewiczowa 1932   74  0.2220  0.0050  0.0548  0.0568  0.0355  0.04
Rachmaninoff 1923   28  0.3724  0.0020  0.0817  0.4242  0.1111  0.21
Rangell 2001   15  0.4185  0.0019  0.0723  0.3549  0.0522  0.13
Richter 1976   52  0.2986  0.0059  0.0550  0.0579  0.0357  0.04
Rosen 1989   17  0.4043  0.0028  0.0729  0.2375  0.0340  0.08
Rosenthal 1930   4  0.618  0.004  0.344  0.792  0.764  0.77
Rosenthal 1931   1  0.941  0.911  0.901  0.991  1.001  0.99
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.773  0.013  0.863  0.951  0.923  0.93
Rosenthal 1931d   2  0.932  0.082  0.942  0.991  0.992  0.99
Rossi 2007   85  0.1187  0.0068  0.0375  0.0350  0.0465  0.03
Rubinstein 1939   47  0.3144  0.0025  0.0938  0.1716  0.419  0.26
Rubinstein 1952   58  0.2788  0.0057  0.0551  0.0564  0.0549  0.05
Rubinstein 1966   34  0.3511  0.0046  0.0547  0.0551  0.0647  0.05
Schilhawsky 1960   40  0.3389  0.0051  0.0462  0.0477  0.0371  0.03
Shebanova 2002   78  0.2012  0.0079  0.0285  0.0284  0.0388  0.02
Smith 1975   16  0.4125  0.008  0.139  0.5447  0.0515  0.16
Sokolov 2002   37  0.3426  0.0053  0.0463  0.0487  0.0264  0.03
Sztompka 1959   80  0.1727  0.0082  0.0286  0.0282  0.0384  0.02
Tomsic 1995   46  0.3228  0.0044  0.0643  0.1383  0.0346  0.06
Uninsky 1932   84  0.1545  0.0086  0.0378  0.0385  0.0287  0.02
Uninsky 1971   48  0.306  0.0039  0.0542  0.1563  0.0341  0.07
Wasowski 1980   88  0.0890  0.0089  0.0189  0.0189  0.0190  0.01
Zak 1937   43  0.3213  0.0055  0.0554  0.0587  0.0356  0.04
Zak 1951   33  0.3546  0.0038  0.0636  0.1872  0.0437  0.08
Average   6  0.5191  0.007  0.265  0.6582  0.0321  0.14
Random 1   89  0.0447  0.0088  0.0287  0.029  0.4532  0.09
Random 2   90  0.0429  0.0087  0.0380  0.033  0.4623  0.12
Random 3   91  -0.0348  0.0091  0.0191  0.0168  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).