Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.5511  0.0137  0.0636  0.1956  0.0436  0.09
Anderszewski 2003   34  0.5621  0.0045  0.0550  0.0545  0.0458  0.04
Ashkenazy 1981   27  0.5830  0.0031  0.0528  0.2662  0.0338  0.09
Bacha 2000   78  0.3165  0.0089  0.0188  0.0185  0.0290  0.01
Badura 1965   37  0.5515  0.015  0.1317  0.4315  0.416  0.42
Barbosa 1983   74  0.3757  0.0059  0.0371  0.0368  0.0371  0.03
Biret 1990   33  0.5624  0.0047  0.0451  0.0469  0.0381  0.03
Blet 2003   51  0.5183  0.0058  0.0454  0.0476  0.0372  0.03
Block 1995   65  0.4549  0.0061  0.0460  0.0450  0.0460  0.04
Blumental 1952   76  0.3316  0.0173  0.0458  0.0467  0.0377  0.03
Boshniakovich 1969   57  0.4884  0.0071  0.0453  0.0456  0.0461  0.04
Brailowsky 1960   58  0.4844  0.0064  0.0367  0.0350  0.0551  0.04
Bunin 1987   18  0.6332  0.0010  0.0912  0.4628  0.3011  0.37
Bunin 1987b   19  0.6346  0.0011  0.1213  0.4628  0.309  0.37
Chiu 1999   85  0.2238  0.0081  0.0369  0.0382  0.0365  0.03
Cohen 1997   80  0.2840  0.0079  0.0378  0.0363  0.0379  0.03
Cortot 1951   20  0.6342  0.0027  0.0923  0.3731  0.2515  0.30
Csalog 1996   77  0.3379  0.0085  0.0285  0.0280  0.0386  0.02
Czerny 1949   11  0.668  0.0214  0.123  0.5631  0.2410  0.37
Czerny 1990   12  0.6641  0.0022  0.0720  0.4075  0.0334  0.11
Duchoud 2007   23  0.6071  0.0039  0.0638  0.1748  0.0537  0.09
Ezaki 2006   15  0.6559  0.0018  0.0714  0.4546  0.0624  0.16
Falvay 1989   45  0.5226  0.0043  0.0542  0.1081  0.0345  0.05
Farrell 1958   39  0.5554  0.0051  0.0547  0.0565  0.0453  0.04
Ferenczy 1958   48  0.5231  0.0065  0.0377  0.0344  0.0848  0.05
Fliere 1977   8  0.6860  0.0023  0.1022  0.3860  0.0430  0.12
Fou 1978   67  0.4235  0.0057  0.0372  0.0351  0.0654  0.04
Francois 1956   14  0.6588  0.0019  0.0724  0.3641  0.1023  0.19
Friedman 1923   83  0.2643  0.0041  0.0939  0.1620  0.3919  0.25
Friedman 1923b   82  0.2674  0.0040  0.0540  0.1521  0.3520  0.23
Friedman 1930   50  0.513  0.056  0.147  0.546  0.484  0.51
Garcia 2007   79  0.3172  0.0066  0.0370  0.0373  0.0375  0.03
Garcia 2007b   87  0.0880  0.0083  0.0283  0.0268  0.0389  0.02
Gierzod 1998   13  0.6633  0.0026  0.0827  0.2850  0.0433  0.11
Gornostaeva 1994   7  0.696  0.0213  0.1110  0.4827  0.2313  0.33
Groot 1988   16  0.642  0.142  0.1411  0.4829  0.2314  0.33
Harasiewicz 1955   64  0.465  0.039  0.1018  0.4234  0.1618  0.26
Hatto 1993   73  0.3762  0.0067  0.0379  0.0352  0.0482  0.03
Hatto 1997   68  0.4228  0.0060  0.0364  0.0354  0.0473  0.03
Horowitz 1949   31  0.5613  0.0136  0.0630  0.2532  0.1821  0.21
Indjic 1988   71  0.3863  0.0068  0.0374  0.0351  0.0470  0.03
Kapell 1951   24  0.5985  0.0050  0.0455  0.0458  0.0455  0.04
Kissin 1993   52  0.5058  0.0052  0.0462  0.0456  0.0457  0.04
Kushner 1989   5  0.7037  0.0017  0.0816  0.4337  0.1916  0.29
Luisada 1991   70  0.3952  0.0080  0.0381  0.0386  0.0283  0.02
Lushtak 2004   62  0.4689  0.0028  0.0632  0.2454  0.0435  0.10
Malcuzynski 1961   4  0.7151  0.0012  0.105  0.5435  0.1617  0.29
Magaloff 1978   6  0.709  0.018  0.139  0.5033  0.2312  0.34
Magin 1975   55  0.4922  0.0062  0.0366  0.0373  0.0367  0.03
Michalowski 1933   75  0.3575  0.0030  0.0544  0.0957  0.0542  0.07
Milkina 1970   46  0.5281  0.0070  0.0373  0.0373  0.0369  0.03
Mohovich 1999   28  0.5769  0.0034  0.0535  0.2068  0.0340  0.08
Moravec 1969   29  0.5619  0.0056  0.0645  0.0660  0.0444  0.05
Morozova 2008   42  0.5317  0.0121  0.0721  0.3867  0.0431  0.12
Neighaus 1950   32  0.5677  0.0032  0.0531  0.2573  0.0339  0.09
Niedzielski 1931   61  0.4620  0.0074  0.0368  0.0351  0.0466  0.03
Ohlsson 1999   40  0.5447  0.0048  0.0646  0.0674  0.0356  0.04
Osinska 1989   25  0.5855  0.0049  0.0456  0.0471  0.0450  0.04
Pachmann 1927   86  0.2290  0.0082  0.0282  0.0269  0.0385  0.02
Paderewski 1930   36  0.5525  0.0055  0.0548  0.0543  0.0843  0.06
Perlemuter 1992   47  0.5229  0.0024  0.0826  0.3359  0.0432  0.11
Pierdomenico 2008   41  0.5427  0.0042  0.0541  0.1454  0.0441  0.07
Poblocka 1999   35  0.5576  0.0069  0.0375  0.0381  0.0363  0.03
Rabcewiczowa 1932   49  0.5236  0.0053  0.0459  0.0458  0.0452  0.04
Rachmaninoff 1923   22  0.607  0.027  0.138  0.5118  0.328  0.40
Rangell 2001   63  0.4650  0.0076  0.0463  0.0479  0.0280  0.03
Richter 1976   43  0.5356  0.0029  0.0733  0.2237  0.1125  0.16
Rosen 1989   44  0.5273  0.0054  0.0549  0.0582  0.0276  0.03
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   3  0.714  0.044  0.142  0.624  0.632  0.62
Rosenthal 1931b   9  0.6712  0.0115  0.124  0.555  0.583  0.56
Rosenthal 1931c   1  0.861  0.511  0.511  0.744  0.721  0.73
Rosenthal 1931d   10  0.6710  0.0120  0.0719  0.418  0.447  0.42
Rossi 2007   84  0.2445  0.0072  0.0457  0.0455  0.0364  0.03
Rubinstein 1939   81  0.2739  0.0088  0.0189  0.0160  0.0484  0.02
Rubinstein 1952   72  0.3753  0.0084  0.0284  0.0268  0.0388  0.02
Rubinstein 1966   56  0.4934  0.0077  0.0461  0.0465  0.0459  0.04
Schilhawsky 1960   21  0.6164  0.0025  0.0825  0.3346  0.0726  0.15
Shebanova 2002   69  0.4178  0.0078  0.0380  0.0379  0.0374  0.03
Smith 1975   17  0.6418  0.0116  0.0815  0.4459  0.0428  0.13
Sokolov 2002   2  0.7470  0.003  0.136  0.5421  0.375  0.45
Sztompka 1959   30  0.5614  0.0138  0.0629  0.2637  0.1622  0.20
Tomsic 1995   53  0.5086  0.0044  0.0543  0.0980  0.0347  0.05
Uninsky 1932   54  0.4987  0.0035  0.0537  0.1842  0.1227  0.15
Uninsky 1971   26  0.5823  0.0033  0.0534  0.2145  0.0829  0.13
Wasowski 1980   66  0.4348  0.0075  0.0376  0.0377  0.0362  0.03
Zak 1937   60  0.4767  0.0063  0.0365  0.0369  0.0468  0.03
Zak 1951   59  0.4782  0.0046  0.0452  0.0446  0.0646  0.05
Random 1   90  -0.0668  0.0090  0.0190  0.0170  0.0387  0.02
Random 2   89  0.0261  0.0087  0.0186  0.0121  0.2849  0.05
Random 3   88  0.0666  0.0086  0.0187  0.0142  0.1178  0.03

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).