Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.3519  0.009  0.228  0.7016  0.508  0.59
Anderszewski 2003   40  0.2335  0.0033  0.0632  0.2365  0.0428  0.10
Ashkenazy 1981   46  0.2226  0.0041  0.0640  0.1473  0.0538  0.08
Bacha 2000   23  0.2672  0.0023  0.0926  0.3052  0.0522  0.12
Badura 1965   51  0.2179  0.0050  0.0557  0.0559  0.0459  0.04
Barbosa 1983   53  0.2080  0.0066  0.0465  0.0485  0.0275  0.03
Biret 1990   38  0.2453  0.0031  0.0639  0.1573  0.0439  0.08
Blet 2003   47  0.2227  0.0032  0.0631  0.2468  0.0429  0.10
Block 1995   58  0.2067  0.0052  0.0560  0.0578  0.0360  0.04
Blumental 1952   13  0.3110  0.0010  0.2911  0.5738  0.2011  0.34
Boshniakovich 1969   59  0.2068  0.0067  0.0462  0.0485  0.0461  0.04
Brailowsky 1960   5  0.3954  0.007  0.246  0.7518  0.586  0.66
Bunin 1987   32  0.2456  0.0054  0.0646  0.0673  0.0362  0.04
Bunin 1987b   33  0.249  0.0049  0.0554  0.0570  0.0453  0.04
Chiu 1999   66  0.1987  0.0055  0.0550  0.0582  0.0351  0.04
Cohen 1997   27  0.2669  0.0019  0.0918  0.4340  0.2212  0.31
Cortot 1951   25  0.2622  0.0026  0.1025  0.3040  0.1514  0.21
Csalog 1996   65  0.1961  0.0063  0.0472  0.0480  0.0376  0.03
Czerny 1949   43  0.2233  0.0040  0.0642  0.1358  0.0537  0.08
Czerny 1990   62  0.1945  0.0057  0.0463  0.0457  0.0563  0.04
Duchoud 2007   85  0.1081  0.0084  0.0378  0.0379  0.0479  0.03
Ezaki 2006   8  0.3612  0.008  0.209  0.6937  0.3510  0.49
Falvay 1989   14  0.3128  0.0016  0.1815  0.5057  0.0518  0.16
Farrell 1958   69  0.1849  0.0069  0.0474  0.0487  0.0269  0.03
Ferenczy 1958   7  0.3623  0.0011  0.2310  0.6911  0.715  0.70
Fliere 1977   34  0.2443  0.0034  0.0930  0.2687  0.0331  0.09
Fou 1978   19  0.2873  0.0018  0.0919  0.4378  0.0325  0.11
Francois 1956   39  0.2339  0.0025  0.0824  0.3141  0.1513  0.22
Friedman 1923   63  0.1962  0.0064  0.0469  0.0479  0.0384  0.03
Friedman 1923b   64  0.1982  0.0065  0.0648  0.0677  0.0448  0.05
Friedman 1930   77  0.1583  0.0068  0.0647  0.0676  0.0358  0.04
Garcia 2007   68  0.1840  0.0077  0.0470  0.0481  0.0380  0.03
Garcia 2007b   78  0.1520  0.0071  0.0471  0.0484  0.0283  0.03
Gierzod 1998   11  0.3346  0.0012  0.1417  0.4748  0.0715  0.18
Gornostaeva 1994   44  0.225  0.0027  0.0827  0.3083  0.0335  0.09
Groot 1988   16  0.2950  0.0014  0.1313  0.5470  0.0420  0.15
Harasiewicz 1955   52  0.2174  0.0035  0.0735  0.1787  0.0245  0.06
Hatto 1993   42  0.2357  0.0051  0.0649  0.0684  0.0364  0.04
Hatto 1997   18  0.2844  0.0022  0.0922  0.3869  0.0424  0.12
Horowitz 1949   60  0.1942  0.0060  0.0558  0.0561  0.0456  0.04
Indjic 1988   49  0.2270  0.0056  0.0466  0.0486  0.0374  0.03
Kapell 1951   67  0.1851  0.0075  0.0467  0.0485  0.0370  0.03
Kissin 1993   86  0.0958  0.0089  0.0287  0.0288  0.0289  0.02
Kushner 1989   30  0.2563  0.0045  0.0645  0.0676  0.0447  0.05
Luisada 1991   29  0.2529  0.0044  0.0644  0.1173  0.0440  0.07
Lushtak 2004   37  0.2430  0.0039  0.0737  0.1680  0.0343  0.07
Malcuzynski 1961   28  0.2647  0.0030  0.0728  0.2984  0.0333  0.09
Magaloff 1978   26  0.2637  0.0028  0.0729  0.2779  0.0332  0.09
Magin 1975   76  0.1631  0.0078  0.0377  0.0383  0.0368  0.03
Michalowski 1933   80  0.1321  0.0079  0.0376  0.0377  0.0373  0.03
Milkina 1970   36  0.2424  0.0037  0.0636  0.1778  0.0341  0.07
Mohovich 1999   15  0.3016  0.0015  0.1612  0.5661  0.0419  0.15
Moravec 1969   12  0.3375  0.0013  0.2114  0.5259  0.0517  0.16
Morozova 2008   31  0.2525  0.0038  0.0538  0.1579  0.0342  0.07
Neighaus 1950   70  0.1817  0.0072  0.0468  0.0472  0.0382  0.03
Niedzielski 1931   61  0.1971  0.0036  0.0734  0.1774  0.0436  0.08
Ohlsson 1999   71  0.1884  0.0062  0.0561  0.0583  0.0357  0.04
Osinska 1989   45  0.2218  0.0058  0.0551  0.0583  0.0349  0.04
Pachmann 1927   87  0.0988  0.0088  0.0288  0.0284  0.0388  0.02
Paderewski 1930   81  0.1259  0.0083  0.0381  0.0379  0.0371  0.03
Perlemuter 1992   73  0.1764  0.0070  0.0380  0.0381  0.0366  0.03
Pierdomenico 2008   74  0.1711  0.0080  0.0285  0.0284  0.0386  0.02
Poblocka 1999   56  0.2089  0.0048  0.0553  0.0582  0.0350  0.04
Rabcewiczowa 1932   6  0.377  0.005  0.325  0.7616  0.557  0.65
Rachmaninoff 1923   10  0.356  0.006  0.227  0.7421  0.419  0.55
Rangell 2001   55  0.2013  0.0047  0.0555  0.0584  0.0281  0.03
Richter 1976   82  0.1185  0.0085  0.0284  0.0286  0.0387  0.02
Rosen 1989   17  0.2865  0.0021  0.0920  0.4280  0.0327  0.11
Rosenthal 1930   4  0.594  0.004  0.814  0.914  0.884  0.89
Rosenthal 1931   2  0.762  0.082  0.872  0.982  0.972  0.97
Rosenthal 1931b   1  0.831  0.891  0.881  0.992  0.991  0.99
Rosenthal 1931c   3  0.713  0.023  0.883  0.972  0.953  0.96
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   84  0.1034  0.0076  0.0379  0.0374  0.0367  0.03
Rubinstein 1939   20  0.288  0.0024  0.1023  0.3445  0.0621  0.14
Rubinstein 1952   48  0.2215  0.0053  0.0559  0.0586  0.0365  0.04
Rubinstein 1966   22  0.2638  0.0043  0.0641  0.1374  0.0344  0.06
Schilhawsky 1960   35  0.2436  0.0029  0.0633  0.2349  0.0623  0.12
Shebanova 2002   79  0.1390  0.0082  0.0382  0.0387  0.0378  0.03
Smith 1975   24  0.2632  0.0017  0.1116  0.4950  0.0616  0.17
Sokolov 2002   57  0.2014  0.0042  0.0543  0.1285  0.0246  0.05
Sztompka 1959   75  0.1786  0.0073  0.0375  0.0385  0.0372  0.03
Tomsic 1995   54  0.2060  0.0061  0.0464  0.0480  0.0455  0.04
Uninsky 1932   72  0.1748  0.0074  0.0473  0.0476  0.0377  0.03
Uninsky 1971   21  0.2752  0.0020  0.0921  0.4183  0.0326  0.11
Wasowski 1980   83  0.1155  0.0087  0.0286  0.0285  0.0385  0.02
Zak 1937   50  0.2276  0.0059  0.0556  0.0579  0.0452  0.04
Zak 1951   41  0.2377  0.0046  0.0552  0.0577  0.0454  0.04
Random 1   89  0.0266  0.0086  0.0289  0.022  0.5130  0.10
Random 2   88  0.0778  0.0081  0.0283  0.028  0.4534  0.09
Random 3   90  -0.0941  0.0090  0.0190  0.0174  0.0390  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).