Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.329  0.006  0.297  0.7014  0.558  0.62
Anderszewski 2003   42  0.1565  0.0031  0.0735  0.3244  0.1126  0.19
Ashkenazy 1981   38  0.1635  0.0035  0.0732  0.3752  0.0729  0.16
Bacha 2000   20  0.2425  0.0026  0.0929  0.4037  0.2119  0.29
Badura 1965   41  0.1536  0.0034  0.0933  0.3740  0.1722  0.25
Barbosa 1983   46  0.1355  0.0058  0.0364  0.0374  0.0472  0.03
Biret 1990   71  0.0747  0.0055  0.0370  0.0366  0.0479  0.03
Blet 2003   76  0.0548  0.0065  0.0369  0.0380  0.0373  0.03
Block 1995   67  0.0849  0.0066  0.0372  0.0385  0.0289  0.02
Blumental 1952   30  0.1866  0.0023  0.0924  0.4241  0.1523  0.25
Boshniakovich 1969   48  0.1256  0.0050  0.0550  0.0572  0.0458  0.04
Brailowsky 1960   15  0.2767  0.0020  0.0918  0.5032  0.3715  0.43
Bunin 1987   40  0.1568  0.0045  0.0745  0.1364  0.0545  0.08
Bunin 1987b   37  0.1669  0.0042  0.0742  0.1770  0.0444  0.08
Chiu 1999   66  0.0821  0.0059  0.0457  0.0479  0.0456  0.04
Cohen 1997   14  0.278  0.0010  0.1510  0.6221  0.529  0.57
Cortot 1951   12  0.2918  0.0015  0.1311  0.5624  0.5111  0.53
Csalog 1996   89  -0.0570  0.0090  0.0289  0.0284  0.0286  0.02
Czerny 1949   24  0.2129  0.0022  0.1321  0.4624  0.6510  0.55
Czerny 1990   69  0.0713  0.0076  0.0376  0.0366  0.0478  0.03
Duchoud 2007   82  0.0237  0.0082  0.0374  0.0390  0.0288  0.02
Ezaki 2006   5  0.366  0.005  0.245  0.7214  0.656  0.68
Falvay 1989   27  0.2050  0.0029  0.0827  0.4141  0.1324  0.23
Farrell 1958   60  0.1038  0.0073  0.0363  0.0377  0.0363  0.03
Ferenczy 1958   10  0.2914  0.0017  0.1614  0.5513  0.777  0.65
Fliere 1977   74  0.0539  0.0067  0.0362  0.0365  0.0553  0.04
Fou 1978   43  0.1457  0.0037  0.0736  0.3180  0.0340  0.10
Francois 1956   19  0.2532  0.0011  0.1715  0.5426  0.5112  0.52
Friedman 1923   52  0.1158  0.0053  0.0553  0.0571  0.0460  0.04
Friedman 1923b   56  0.1071  0.0061  0.0373  0.0370  0.0477  0.03
Friedman 1930   78  0.0572  0.0052  0.0461  0.0484  0.0374  0.03
Garcia 2007   45  0.1310  0.0070  0.0456  0.0485  0.0376  0.03
Garcia 2007b   73  0.0620  0.0046  0.0747  0.0749  0.0747  0.07
Gierzod 1998   11  0.2973  0.0016  0.1113  0.5525  0.4313  0.49
Gornostaeva 1994   36  0.163  0.0119  0.1125  0.4242  0.1920  0.28
Groot 1988   44  0.1374  0.0033  0.0730  0.3872  0.0437  0.12
Harasiewicz 1955   62  0.1075  0.0049  0.0649  0.0679  0.0359  0.04
Hatto 1993   75  0.0533  0.0079  0.0382  0.0384  0.0380  0.03
Hatto 1997   31  0.175  0.0041  0.1137  0.2967  0.0438  0.11
Horowitz 1949   72  0.0659  0.0080  0.0379  0.0380  0.0367  0.03
Indjic 1988   77  0.0560  0.0081  0.0377  0.0382  0.0371  0.03
Kapell 1951   84  0.0240  0.0085  0.0380  0.0381  0.0364  0.03
Kissin 1993   85  0.0141  0.0088  0.0287  0.0285  0.0385  0.02
Kushner 1989   33  0.1776  0.0036  0.0639  0.2576  0.0441  0.10
Luisada 1991   50  0.1234  0.0056  0.0459  0.0480  0.0452  0.04
Lushtak 2004   26  0.2077  0.0038  0.0640  0.2456  0.0539  0.11
Malcuzynski 1961   34  0.1761  0.0040  0.0741  0.2173  0.0442  0.09
Magaloff 1978   54  0.1178  0.0063  0.0454  0.0486  0.0361  0.03
Magin 1975   90  -0.0779  0.0089  0.0190  0.0181  0.0291  0.01
Michalowski 1933   79  0.0562  0.0074  0.0378  0.0374  0.0470  0.03
Milkina 1970   32  0.1715  0.0028  0.0828  0.4144  0.1621  0.26
Mohovich 1999   28  0.2080  0.0030  0.0831  0.3861  0.0531  0.14
Moravec 1969   13  0.2881  0.0021  0.1220  0.4659  0.0430  0.14
Morozova 2008   23  0.2182  0.0024  0.0826  0.4150  0.0627  0.16
Neighaus 1950   25  0.2151  0.0039  0.0838  0.2678  0.0343  0.09
Niedzielski 1931   63  0.0942  0.0051  0.0552  0.0566  0.0551  0.05
Ohlsson 1999   64  0.0926  0.0062  0.0455  0.0477  0.0457  0.04
Osinska 1989   49  0.1227  0.0064  0.0551  0.0575  0.0354  0.04
Pachmann 1927   83  0.0283  0.0084  0.0381  0.0382  0.0369  0.03
Paderewski 1930   61  0.1084  0.0060  0.0375  0.0372  0.0468  0.03
Perlemuter 1992   55  0.1143  0.0047  0.0748  0.0781  0.0350  0.05
Pierdomenico 2008   65  0.0944  0.0078  0.0383  0.0381  0.0362  0.03
Poblocka 1999   81  0.0385  0.0077  0.0284  0.0287  0.0383  0.02
Rabcewiczowa 1932   8  0.3111  0.008  0.196  0.7215  0.705  0.71
Rachmaninoff 1923   18  0.2522  0.0013  0.1112  0.5631  0.3017  0.41
Rangell 2001   16  0.2717  0.0014  0.1416  0.5337  0.1918  0.32
Richter 1976   87  0.0052  0.0087  0.0288  0.0284  0.0384  0.02
Rosen 1989   17  0.2653  0.0018  0.1217  0.5271  0.0335  0.12
Rosenthal 1930   4  0.494  0.004  0.624  0.856  0.784  0.81
Rosenthal 1931   2  0.772  0.022  0.902  0.972  0.972  0.97
Rosenthal 1931b   1  0.871  0.941  0.931  0.992  0.991  0.99
Rosenthal 1931c   3  0.687  0.003  0.823  0.953  0.933  0.94
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   88  0.0030  0.0075  0.0371  0.0352  0.0555  0.04
Rubinstein 1939   22  0.2216  0.0025  0.1023  0.4449  0.0825  0.19
Rubinstein 1952   57  0.1054  0.0057  0.0368  0.0378  0.0381  0.03
Rubinstein 1966   21  0.2445  0.0027  0.1022  0.4567  0.0433  0.13
Schilhawsky 1960   59  0.1028  0.0048  0.0746  0.0755  0.0549  0.06
Shebanova 2002   80  0.0346  0.0083  0.0285  0.0283  0.0387  0.02
Smith 1975   35  0.1712  0.0012  0.1419  0.4930  0.3816  0.43
Sokolov 2002   58  0.1031  0.0043  0.0644  0.1475  0.0348  0.06
Sztompka 1959   39  0.1586  0.0044  0.0943  0.1775  0.0346  0.07
Tomsic 1995   29  0.1923  0.0032  0.0734  0.3658  0.0532  0.13
Uninsky 1932   51  0.1187  0.0069  0.0460  0.0487  0.0275  0.03
Uninsky 1971   9  0.3019  0.009  0.239  0.6426  0.3314  0.46
Wasowski 1980   86  0.0088  0.0086  0.0286  0.0283  0.0382  0.02
Zak 1937   53  0.1189  0.0072  0.0365  0.0375  0.0365  0.03
Zak 1951   47  0.1290  0.0054  0.0366  0.0371  0.0466  0.03
Average   6  0.3291  0.007  0.268  0.6878  0.0428  0.16
Random 1   70  0.0763  0.0068  0.0367  0.036  0.5236  0.12
Random 2   68  0.0824  0.0071  0.0458  0.0419  0.4034  0.13
Random 3   91  -0.1364  0.0091  0.0191  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).