Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.4250  0.0021  0.1522  0.4623  0.4014  0.43
Anderszewski 2003   44  0.3469  0.0041  0.0541  0.1380  0.0342  0.06
Ashkenazy 1981   41  0.3542  0.0042  0.0542  0.1261  0.0343  0.06
Bacha 2000   47  0.3370  0.0045  0.0648  0.0655  0.0445  0.05
Badura 1965   68  0.2851  0.0063  0.0464  0.0477  0.0377  0.03
Barbosa 1983   28  0.3926  0.0034  0.0933  0.3065  0.0528  0.12
Biret 1990   15  0.4514  0.0118  0.1611  0.5748  0.0619  0.18
Blet 2003   33  0.3727  0.0030  0.0831  0.3557  0.0524  0.13
Block 1995   42  0.3478  0.0032  0.0728  0.3862  0.0429  0.12
Blumental 1952   7  0.5015  0.017  0.247  0.6825  0.477  0.57
Boshniakovich 1969   57  0.3059  0.0064  0.0373  0.0387  0.0287  0.02
Brailowsky 1960   5  0.586  0.026  0.505  0.806  0.696  0.74
Bunin 1987   66  0.2979  0.0068  0.0470  0.0482  0.0378  0.03
Bunin 1987b   69  0.2871  0.0062  0.0460  0.0479  0.0368  0.03
Chiu 1999   73  0.2680  0.0057  0.0551  0.0576  0.0352  0.04
Cohen 1997   74  0.2681  0.0044  0.0543  0.1071  0.0348  0.05
Cortot 1951   67  0.2835  0.0056  0.0550  0.0549  0.0744  0.06
Csalog 1996   38  0.3556  0.0037  0.0539  0.1663  0.0440  0.08
Czerny 1949   60  0.307  0.0166  0.0459  0.0477  0.0376  0.03
Czerny 1990   26  0.4021  0.0019  0.1718  0.5048  0.0718  0.19
Duchoud 2007   85  0.1782  0.0084  0.0286  0.0285  0.0285  0.02
Ezaki 2006   32  0.3746  0.0040  0.0640  0.1371  0.0441  0.07
Falvay 1989   35  0.3772  0.0048  0.0553  0.0569  0.0453  0.04
Farrell 1958   43  0.3447  0.0050  0.0457  0.0461  0.0554  0.04
Ferenczy 1958   19  0.4239  0.0023  0.0725  0.3957  0.0620  0.15
Fliere 1977   8  0.4924  0.0011  0.1715  0.5273  0.0421  0.14
Fou 1978   21  0.4223  0.0025  0.0826  0.3956  0.0522  0.14
Francois 1956   63  0.3057  0.0053  0.0458  0.0470  0.0463  0.04
Friedman 1923   65  0.2929  0.0049  0.0556  0.0550  0.0650  0.05
Friedman 1923b   58  0.3016  0.0046  0.0549  0.0554  0.0549  0.05
Friedman 1930   50  0.3262  0.0038  0.0636  0.2346  0.0725  0.13
Garcia 2007   84  0.1873  0.0085  0.0285  0.0286  0.0286  0.02
Garcia 2007b   71  0.2737  0.0061  0.0463  0.0481  0.0279  0.03
Gierzod 1998   13  0.4610  0.0122  0.1521  0.4772  0.0423  0.14
Gornostaeva 1994   46  0.3383  0.0055  0.0647  0.0674  0.0362  0.04
Groot 1988   10  0.4830  0.009  0.158  0.6722  0.3011  0.45
Harasiewicz 1955   30  0.3864  0.0024  0.0629  0.3678  0.0338  0.10
Hatto 1993   16  0.4484  0.0020  0.1320  0.4879  0.0331  0.12
Hatto 1997   22  0.4285  0.0029  0.1324  0.4077  0.0426  0.13
Horowitz 1949   27  0.3928  0.0015  0.1414  0.556  0.558  0.55
Indjic 1988   24  0.4152  0.0028  0.0727  0.3980  0.0334  0.11
Kapell 1951   36  0.3686  0.0036  0.0637  0.2270  0.0439  0.09
Kissin 1993   79  0.2174  0.0082  0.0380  0.0386  0.0373  0.03
Kushner 1989   54  0.3175  0.0074  0.0467  0.0482  0.0367  0.03
Luisada 1991   34  0.3720  0.0043  0.0444  0.1081  0.0346  0.05
Lushtak 2004   31  0.3817  0.0026  0.0723  0.4182  0.0335  0.11
Malcuzynski 1961   45  0.3453  0.0052  0.0645  0.0676  0.0357  0.04
Magaloff 1978   9  0.4940  0.0012  0.219  0.6534  0.2913  0.43
Magin 1975   18  0.4376  0.0031  0.0934  0.2971  0.0432  0.11
Michalowski 1933   82  0.1932  0.0058  0.0461  0.0468  0.0372  0.03
Milkina 1970   39  0.3565  0.0051  0.0555  0.0583  0.0356  0.04
Mohovich 1999   17  0.4336  0.0027  0.0730  0.3557  0.0430  0.12
Moravec 1969   11  0.4754  0.0010  0.2210  0.5927  0.3510  0.45
Morozova 2008   75  0.2431  0.0079  0.0372  0.0379  0.0374  0.03
Neighaus 1950   48  0.3233  0.0039  0.0638  0.2044  0.0927  0.13
Niedzielski 1931   40  0.3512  0.0113  0.1317  0.516  0.469  0.48
Ohlsson 1999   52  0.3258  0.0060  0.0468  0.0480  0.0371  0.03
Osinska 1989   53  0.3167  0.0069  0.0377  0.0379  0.0364  0.03
Pachmann 1927   77  0.2443  0.0077  0.0376  0.0360  0.0470  0.03
Paderewski 1930   87  0.1468  0.0086  0.0283  0.0273  0.0383  0.02
Perlemuter 1992   78  0.2163  0.0081  0.0379  0.0384  0.0280  0.02
Pierdomenico 2008   80  0.2187  0.0083  0.0284  0.0281  0.0381  0.02
Poblocka 1999   25  0.4119  0.0016  0.1613  0.5551  0.0917  0.22
Rabcewiczowa 1932   12  0.4611  0.018  0.1712  0.5624  0.3412  0.44
Rachmaninoff 1923   6  0.568  0.015  0.396  0.773  0.735  0.75
Rangell 2001   83  0.199  0.0188  0.0187  0.0187  0.0290  0.01
Richter 1976   29  0.3913  0.0133  0.0832  0.3171  0.0336  0.10
Rosen 1989   49  0.3244  0.0047  0.0646  0.0681  0.0360  0.04
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   4  0.674  0.063  0.444  0.854  0.864  0.85
Rosenthal 1931b   1  0.711  0.431  0.421  0.874  0.902  0.88
Rosenthal 1931c   2  0.702  0.202  0.443  0.854  0.873  0.86
Rosenthal 1931d   3  0.693  0.154  0.692  0.874  0.901  0.88
Rossi 2007   86  0.1666  0.0087  0.0188  0.0185  0.0289  0.01
Rubinstein 1939   76  0.2488  0.0078  0.0378  0.0381  0.0366  0.03
Rubinstein 1952   64  0.2948  0.0071  0.0375  0.0384  0.0288  0.02
Rubinstein 1966   51  0.3241  0.0072  0.0374  0.0387  0.0284  0.02
Schilhawsky 1960   14  0.455  0.0214  0.1216  0.5233  0.2915  0.39
Shebanova 2002   72  0.2645  0.0065  0.0462  0.0480  0.0459  0.04
Smith 1975   23  0.4122  0.0017  0.1819  0.4941  0.2216  0.33
Sokolov 2002   55  0.3189  0.0059  0.0465  0.0466  0.0365  0.03
Sztompka 1959   62  0.3025  0.0054  0.0554  0.0576  0.0458  0.04
Tomsic 1995   81  0.2190  0.0080  0.0382  0.0384  0.0282  0.02
Uninsky 1932   70  0.2755  0.0073  0.0471  0.0479  0.0375  0.03
Uninsky 1971   37  0.3660  0.0035  0.0935  0.2876  0.0433  0.11
Wasowski 1980   61  0.3038  0.0067  0.0469  0.0481  0.0451  0.04
Zak 1937   59  0.3077  0.0075  0.0552  0.0579  0.0355  0.04
Zak 1951   56  0.3134  0.0070  0.0466  0.0479  0.0369  0.03
Random 1   90  -0.0561  0.0089  0.0189  0.0127  0.2747  0.05
Random 2   88  0.0418  0.0076  0.0381  0.0321  0.3137  0.10
Random 3   89  -0.0149  0.0090  0.0190  0.0134  0.1761  0.04

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).