Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.3847  0.007  0.328  0.764  0.658  0.70
Anderszewski 2003   10  0.349  0.0013  0.1512  0.6810  0.5910  0.63
Ashkenazy 1981   38  0.1748  0.0036  0.0937  0.3464  0.0638  0.14
Bacha 2000   15  0.3235  0.0012  0.1210  0.7214  0.5311  0.62
Badura 1965   20  0.2913  0.0011  0.1115  0.638  0.5912  0.61
Barbosa 1983   42  0.163  0.0052  0.0458  0.0486  0.0266  0.03
Biret 1990   88  -0.0729  0.0088  0.0188  0.0189  0.0290  0.01
Blet 2003   71  0.0449  0.0069  0.0373  0.0383  0.0286  0.02
Block 1995   48  0.1150  0.0047  0.1045  0.1069  0.0449  0.06
Blumental 1952   17  0.3018  0.0017  0.0921  0.5824  0.4218  0.49
Boshniakovich 1969   73  0.0336  0.0063  0.0550  0.0577  0.0359  0.04
Brailowsky 1960   18  0.2951  0.0022  0.1116  0.6119  0.5315  0.57
Bunin 1987   78  0.0352  0.0080  0.0287  0.0287  0.0287  0.02
Bunin 1987b   72  0.0453  0.0078  0.0283  0.0287  0.0282  0.02
Chiu 1999   35  0.1837  0.0050  0.0551  0.0559  0.0650  0.05
Cohen 1997   13  0.3454  0.009  0.299  0.7316  0.569  0.64
Cortot 1951   12  0.3455  0.0016  0.1014  0.6720  0.5213  0.59
Csalog 1996   87  -0.0556  0.0087  0.0286  0.0285  0.0285  0.02
Czerny 1949   28  0.2357  0.0027  0.1027  0.5122  0.6514  0.58
Czerny 1990   67  0.0558  0.0071  0.0375  0.0376  0.0372  0.03
Duchoud 2007   77  0.0359  0.0075  0.0369  0.0382  0.0369  0.03
Ezaki 2006   6  0.446  0.006  0.416  0.7914  0.657  0.72
Falvay 1989   34  0.1838  0.0037  0.0736  0.3446  0.0731  0.15
Farrell 1958   32  0.1825  0.0042  0.0842  0.1664  0.0445  0.08
Ferenczy 1958   7  0.4110  0.008  0.227  0.783  0.865  0.82
Fliere 1977   56  0.0839  0.0053  0.0464  0.0479  0.0452  0.04
Fou 1978   21  0.277  0.0021  0.1018  0.5947  0.0628  0.19
Francois 1956   37  0.1740  0.0028  0.1232  0.4633  0.3621  0.41
Friedman 1923   55  0.0860  0.0066  0.0367  0.0374  0.0476  0.03
Friedman 1923b   65  0.0561  0.0070  0.0376  0.0379  0.0371  0.03
Friedman 1930   76  0.0319  0.0058  0.0462  0.0473  0.0457  0.04
Garcia 2007   63  0.0662  0.0054  0.0459  0.0482  0.0370  0.03
Garcia 2007b   84  -0.0226  0.0077  0.0371  0.0384  0.0375  0.03
Gierzod 1998   4  0.4730  0.004  0.364  0.862  0.824  0.84
Gornostaeva 1994   33  0.1841  0.0041  0.0941  0.2351  0.0640  0.12
Groot 1988   54  0.0942  0.0040  0.1140  0.2674  0.0442  0.10
Harasiewicz 1955   46  0.1263  0.0055  0.0463  0.0479  0.0373  0.03
Hatto 1993   45  0.1364  0.0051  0.0649  0.0673  0.0451  0.05
Hatto 1997   40  0.1665  0.0043  0.0744  0.1572  0.0446  0.08
Horowitz 1949   86  -0.0466  0.0084  0.0282  0.0286  0.0283  0.02
Indjic 1988   59  0.0767  0.0073  0.0372  0.0379  0.0365  0.03
Kapell 1951   83  -0.0214  0.0086  0.0374  0.0388  0.0280  0.02
Kissin 1993   53  0.1020  0.0061  0.0457  0.0479  0.0456  0.04
Kushner 1989   26  0.2568  0.0032  0.1230  0.4963  0.0530  0.16
Luisada 1991   70  0.0469  0.0083  0.0278  0.0283  0.0277  0.02
Lushtak 2004   19  0.2915  0.0026  0.1519  0.5920  0.3319  0.44
Malcuzynski 1961   23  0.2643  0.0024  0.1220  0.5865  0.0529  0.17
Magaloff 1978   47  0.1170  0.0044  0.0843  0.1683  0.0347  0.07
Magin 1975   85  -0.0371  0.0085  0.0281  0.0289  0.0279  0.02
Michalowski 1933   80  0.0072  0.0082  0.0280  0.0284  0.0384  0.02
Milkina 1970   27  0.2421  0.0033  0.1531  0.4736  0.2724  0.36
Mohovich 1999   25  0.2627  0.0023  0.1217  0.6133  0.2323  0.37
Moravec 1969   22  0.2712  0.0029  0.1529  0.5072  0.0434  0.14
Morozova 2008   11  0.3431  0.0018  0.0822  0.5770  0.0432  0.15
Neighaus 1950   41  0.1673  0.0039  0.0839  0.2778  0.0344  0.09
Niedzielski 1931   43  0.1574  0.0035  0.1534  0.4067  0.0536  0.14
Ohlsson 1999   49  0.1175  0.0057  0.0554  0.0585  0.0355  0.04
Osinska 1989   69  0.0576  0.0067  0.0465  0.0482  0.0360  0.03
Pachmann 1927   66  0.0532  0.0068  0.0368  0.0385  0.0364  0.03
Paderewski 1930   60  0.0777  0.0062  0.0553  0.0574  0.0454  0.04
Perlemuter 1992   50  0.1028  0.0045  0.0848  0.0877  0.0448  0.06
Pierdomenico 2008   81  0.0033  0.0081  0.0285  0.0288  0.0278  0.02
Poblocka 1999   74  0.0378  0.0076  0.0370  0.0383  0.0361  0.03
Rabcewiczowa 1932   29  0.2322  0.0025  0.1123  0.5726  0.4916  0.53
Rachmaninoff 1923   44  0.1423  0.0034  0.1135  0.4051  0.0535  0.14
Rangell 2001   30  0.2279  0.0020  0.0924  0.5634  0.2226  0.35
Richter 1976   58  0.0834  0.0072  0.0377  0.0381  0.0363  0.03
Rosen 1989   24  0.2624  0.0030  0.1526  0.5465  0.0433  0.15
Rosenthal 1930   5  0.4711  0.005  0.295  0.854  0.806  0.82
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.911  0.981  0.971  1.001  1.001  1.00
Rosenthal 1931c   3  0.702  0.013  0.873  0.962  0.953  0.95
Rosenthal 1931d   2  0.774  0.002  0.832  0.972  0.972  0.97
Rossi 2007   82  0.0080  0.0048  0.0947  0.0943  0.0943  0.09
Rubinstein 1939   14  0.3316  0.0019  0.0925  0.5425  0.2722  0.38
Rubinstein 1952   68  0.0581  0.0064  0.0556  0.0586  0.0274  0.03
Rubinstein 1966   9  0.378  0.0010  0.2611  0.6819  0.4017  0.52
Schilhawsky 1960   61  0.0682  0.0079  0.0284  0.0268  0.0467  0.03
Shebanova 2002   57  0.0817  0.0060  0.0461  0.0472  0.0458  0.04
Smith 1975   31  0.2283  0.0015  0.1428  0.5131  0.3620  0.43
Sokolov 2002   64  0.0684  0.0065  0.0466  0.0483  0.0262  0.03
Sztompka 1959   39  0.1785  0.0038  0.0838  0.3072  0.0441  0.11
Tomsic 1995   36  0.175  0.0031  0.1633  0.4250  0.0537  0.14
Uninsky 1932   52  0.1044  0.0056  0.0555  0.0585  0.0268  0.03
Uninsky 1971   16  0.3145  0.0014  0.1613  0.6837  0.1825  0.35
Wasowski 1980   89  -0.0946  0.0089  0.0189  0.0189  0.0188  0.01
Zak 1937   79  0.0286  0.0074  0.0279  0.0275  0.0381  0.02
Zak 1951   62  0.0687  0.0049  0.0552  0.0566  0.0453  0.04
Random 1   75  0.0388  0.0059  0.0460  0.0416  0.3539  0.12
Random 2   51  0.1089  0.0046  0.1046  0.102  0.5727  0.24
Random 3   90  -0.1390  0.0090  0.0190  0.0181  0.0289  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).