Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.3519  0.0010  0.229  0.7017  0.508  0.59
Anderszewski 2003   41  0.2334  0.0034  0.0633  0.2366  0.0429  0.10
Ashkenazy 1981   47  0.2225  0.0042  0.0641  0.1474  0.0539  0.08
Bacha 2000   24  0.2673  0.0024  0.0927  0.3053  0.0523  0.12
Badura 1965   52  0.2180  0.0051  0.0558  0.0560  0.0460  0.04
Barbosa 1983   54  0.2081  0.0067  0.0466  0.0486  0.0275  0.03
Biret 1990   39  0.2454  0.0032  0.0640  0.1574  0.0440  0.08
Blet 2003   48  0.2235  0.0033  0.0632  0.2469  0.0430  0.10
Block 1995   59  0.2067  0.0053  0.0561  0.0579  0.0361  0.04
Blumental 1952   14  0.3110  0.0011  0.2912  0.5739  0.2011  0.34
Boshniakovich 1969   60  0.2068  0.0068  0.0463  0.0486  0.0462  0.04
Brailowsky 1960   6  0.3955  0.008  0.247  0.7519  0.586  0.66
Bunin 1987   33  0.2457  0.0055  0.0647  0.0674  0.0363  0.04
Bunin 1987b   34  0.249  0.0050  0.0555  0.0571  0.0454  0.04
Chiu 1999   67  0.1988  0.0056  0.0551  0.0583  0.0352  0.04
Cohen 1997   28  0.2669  0.0020  0.0919  0.4341  0.2212  0.31
Cortot 1951   26  0.2622  0.0027  0.1026  0.3041  0.1514  0.21
Csalog 1996   66  0.1962  0.0064  0.0473  0.0481  0.0376  0.03
Czerny 1949   44  0.2232  0.0041  0.0643  0.1359  0.0538  0.08
Czerny 1990   63  0.1944  0.0058  0.0464  0.0458  0.0564  0.04
Duchoud 2007   86  0.1082  0.0085  0.0379  0.0380  0.0479  0.03
Ezaki 2006   9  0.3612  0.009  0.2010  0.6938  0.3510  0.49
Falvay 1989   15  0.3126  0.0017  0.1816  0.5058  0.0518  0.16
Farrell 1958   70  0.1850  0.0070  0.0375  0.0388  0.0287  0.02
Ferenczy 1958   8  0.3627  0.0012  0.2311  0.6912  0.715  0.70
Fliere 1977   35  0.2445  0.0035  0.0931  0.2688  0.0332  0.09
Fou 1978   20  0.2874  0.0019  0.0920  0.4379  0.0326  0.11
Francois 1956   40  0.2339  0.0026  0.0825  0.3142  0.1513  0.22
Friedman 1923   64  0.1963  0.0065  0.0470  0.0480  0.0384  0.03
Friedman 1923b   65  0.1983  0.0066  0.0649  0.0678  0.0449  0.05
Friedman 1930   78  0.1584  0.0069  0.0648  0.0677  0.0359  0.04
Garcia 2007   69  0.1840  0.0078  0.0471  0.0482  0.0380  0.03
Garcia 2007b   79  0.1520  0.0072  0.0472  0.0485  0.0283  0.03
Gierzod 1998   12  0.3346  0.0013  0.1318  0.4749  0.0715  0.18
Gornostaeva 1994   45  0.225  0.0028  0.0828  0.3084  0.0336  0.09
Groot 1988   17  0.2951  0.0015  0.1314  0.5471  0.0421  0.15
Harasiewicz 1955   53  0.2175  0.0036  0.0736  0.1788  0.0246  0.06
Hatto 1993   43  0.2358  0.0052  0.0550  0.0585  0.0365  0.04
Hatto 1997   19  0.2842  0.0023  0.0923  0.3870  0.0425  0.12
Horowitz 1949   61  0.1943  0.0061  0.0559  0.0562  0.0457  0.04
Indjic 1988   50  0.2270  0.0057  0.0467  0.0487  0.0274  0.03
Kapell 1951   68  0.1852  0.0076  0.0468  0.0486  0.0370  0.03
Kissin 1993   87  0.0959  0.0090  0.0288  0.0289  0.0290  0.02
Kushner 1989   31  0.2571  0.0046  0.0646  0.0677  0.0448  0.05
Luisada 1991   30  0.2528  0.0045  0.0645  0.1174  0.0441  0.07
Lushtak 2004   38  0.2429  0.0040  0.0738  0.1681  0.0344  0.07
Malcuzynski 1961   29  0.2647  0.0031  0.0729  0.2985  0.0334  0.09
Magaloff 1978   27  0.2637  0.0029  0.0730  0.2780  0.0333  0.09
Magin 1975   77  0.1630  0.0079  0.0378  0.0384  0.0369  0.03
Michalowski 1933   81  0.1321  0.0080  0.0377  0.0378  0.0373  0.03
Milkina 1970   37  0.2423  0.0038  0.0637  0.1779  0.0342  0.07
Mohovich 1999   16  0.3016  0.0016  0.1613  0.5662  0.0420  0.15
Moravec 1969   13  0.3376  0.0014  0.2015  0.5260  0.0517  0.16
Morozova 2008   32  0.2524  0.0039  0.0539  0.1580  0.0343  0.07
Neighaus 1950   71  0.1817  0.0073  0.0469  0.0473  0.0382  0.03
Niedzielski 1931   62  0.1972  0.0037  0.0735  0.1775  0.0437  0.08
Ohlsson 1999   72  0.1885  0.0063  0.0562  0.0584  0.0358  0.04
Osinska 1989   46  0.2218  0.0059  0.0552  0.0584  0.0350  0.04
Pachmann 1927   88  0.0989  0.0089  0.0289  0.0285  0.0389  0.02
Paderewski 1930   82  0.1260  0.0084  0.0382  0.0380  0.0371  0.03
Perlemuter 1992   74  0.1764  0.0071  0.0381  0.0382  0.0367  0.03
Pierdomenico 2008   75  0.1711  0.0081  0.0286  0.0285  0.0386  0.02
Poblocka 1999   57  0.2090  0.0049  0.0554  0.0583  0.0351  0.04
Rabcewiczowa 1932   7  0.377  0.006  0.316  0.7617  0.557  0.65
Rachmaninoff 1923   11  0.356  0.007  0.228  0.7422  0.419  0.55
Rangell 2001   56  0.2013  0.0048  0.0556  0.0585  0.0281  0.03
Richter 1976   83  0.1186  0.0086  0.0285  0.0287  0.0388  0.02
Rosen 1989   18  0.2865  0.0022  0.0921  0.4281  0.0328  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   85  0.1033  0.0077  0.0380  0.0375  0.0368  0.03
Rubinstein 1939   21  0.288  0.0025  0.1024  0.3446  0.0622  0.14
Rubinstein 1952   49  0.2215  0.0054  0.0560  0.0587  0.0366  0.04
Rubinstein 1966   23  0.2638  0.0044  0.0642  0.1375  0.0345  0.06
Schilhawsky 1960   36  0.2436  0.0030  0.0634  0.2350  0.0624  0.12
Shebanova 2002   80  0.1391  0.0083  0.0383  0.0388  0.0378  0.03
Smith 1975   25  0.2631  0.0018  0.1117  0.4951  0.0616  0.17
Sokolov 2002   58  0.2014  0.0043  0.0544  0.1286  0.0247  0.05
Sztompka 1959   76  0.1787  0.0074  0.0376  0.0386  0.0372  0.03
Tomsic 1995   55  0.2061  0.0062  0.0465  0.0481  0.0456  0.04
Uninsky 1932   73  0.1748  0.0075  0.0474  0.0477  0.0377  0.03
Uninsky 1971   22  0.2753  0.0021  0.0922  0.4184  0.0327  0.11
Wasowski 1980   84  0.1156  0.0088  0.0287  0.0286  0.0385  0.02
Zak 1937   51  0.2277  0.0060  0.0557  0.0580  0.0453  0.04
Zak 1951   42  0.2378  0.0047  0.0553  0.0578  0.0455  0.04
Average   5  0.4349  0.005  0.395  0.8387  0.0319  0.16
Random 1   90  0.0266  0.0087  0.0290  0.022  0.5231  0.10
Random 2   89  0.0779  0.0082  0.0284  0.029  0.4535  0.09
Random 3   91  -0.0941  0.0091  0.0191  0.0180  0.0291  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).