Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.3769  0.0014  0.2011  0.7224  0.4310  0.56
Anderszewski 2003   13  0.3721  0.0012  0.2012  0.7134  0.3512  0.50
Ashkenazy 1981   46  0.2366  0.0047  0.0749  0.0782  0.0350  0.05
Bacha 2000   25  0.3070  0.0027  0.1126  0.4433  0.2115  0.30
Badura 1965   23  0.318  0.0023  0.0921  0.5638  0.1516  0.29
Barbosa 1983   40  0.2523  0.0057  0.0468  0.0485  0.0274  0.03
Biret 1990   77  0.1477  0.0080  0.0471  0.0484  0.0381  0.03
Blet 2003   55  0.2089  0.0060  0.0557  0.0566  0.0462  0.04
Block 1995   37  0.2561  0.0032  0.0829  0.4285  0.0337  0.11
Blumental 1952   15  0.3585  0.0013  0.1918  0.6034  0.2614  0.39
Boshniakovich 1969   69  0.1752  0.0059  0.0463  0.0487  0.0379  0.03
Brailowsky 1960   9  0.3928  0.008  0.316  0.7816  0.636  0.70
Bunin 1987   65  0.1871  0.0078  0.0462  0.0475  0.0380  0.03
Bunin 1987b   68  0.1878  0.0077  0.0378  0.0366  0.0472  0.03
Chiu 1999   51  0.2172  0.0058  0.0561  0.0586  0.0270  0.03
Cohen 1997   24  0.3046  0.0020  0.2020  0.5724  0.5311  0.55
Cortot 1951   35  0.2649  0.0046  0.0746  0.0759  0.0648  0.06
Csalog 1996   70  0.1725  0.0072  0.0474  0.0479  0.0375  0.03
Czerny 1949   42  0.2429  0.0039  0.0839  0.2755  0.0530  0.12
Czerny 1990   50  0.2136  0.0051  0.0748  0.0764  0.0547  0.06
Duchoud 2007   87  0.0879  0.0086  0.0287  0.0285  0.0389  0.02
Ezaki 2006   7  0.4224  0.007  0.319  0.7526  0.497  0.61
Falvay 1989   20  0.3280  0.0024  0.1122  0.5365  0.0524  0.16
Farrell 1958   36  0.254  0.0044  0.0843  0.1879  0.0246  0.06
Ferenczy 1958   8  0.4016  0.009  0.207  0.783  0.785  0.78
Fliere 1977   38  0.2581  0.0038  0.0838  0.2764  0.0439  0.10
Fou 1978   14  0.359  0.0017  0.1313  0.6951  0.0618  0.20
Francois 1956   75  0.1686  0.0052  0.0556  0.0570  0.0466  0.04
Friedman 1923   67  0.1834  0.0067  0.0464  0.0481  0.0383  0.03
Friedman 1923b   73  0.1737  0.0070  0.0475  0.0477  0.0464  0.04
Friedman 1930   78  0.1435  0.0063  0.0560  0.0578  0.0363  0.04
Garcia 2007   81  0.1138  0.0082  0.0381  0.0386  0.0290  0.02
Garcia 2007b   85  0.1090  0.0081  0.0380  0.0381  0.0382  0.03
Gierzod 1998   6  0.4444  0.006  0.388  0.7517  0.488  0.60
Gornostaeva 1994   39  0.2562  0.0040  0.0842  0.1976  0.0343  0.08
Groot 1988   45  0.2339  0.0022  0.0924  0.4881  0.0332  0.12
Harasiewicz 1955   41  0.2556  0.0050  0.0747  0.0785  0.0352  0.05
Hatto 1993   33  0.2791  0.0041  0.0840  0.2374  0.0441  0.10
Hatto 1997   30  0.2882  0.0035  0.0836  0.3684  0.0340  0.10
Horowitz 1949   79  0.1463  0.0056  0.0465  0.0454  0.0558  0.04
Indjic 1988   43  0.2413  0.0049  0.0651  0.0678  0.0449  0.05
Kapell 1951   74  0.1764  0.0079  0.0466  0.0488  0.0371  0.03
Kissin 1993   64  0.1857  0.0073  0.0476  0.0481  0.0461  0.04
Kushner 1989   22  0.3114  0.0026  0.0932  0.4072  0.0429  0.13
Luisada 1991   60  0.1926  0.0075  0.0379  0.0385  0.0367  0.03
Lushtak 2004   19  0.3230  0.0019  0.2117  0.6360  0.0522  0.18
Malcuzynski 1961   29  0.2910  0.0021  0.1025  0.4770  0.0426  0.14
Magaloff 1978   34  0.2673  0.0030  0.0733  0.3976  0.0333  0.11
Magin 1975   58  0.2027  0.0065  0.0467  0.0478  0.0456  0.04
Michalowski 1933   88  0.0831  0.0089  0.0286  0.0288  0.0288  0.02
Milkina 1970   26  0.2947  0.0029  0.0735  0.3782  0.0334  0.11
Mohovich 1999   18  0.337  0.0018  0.1715  0.6849  0.0523  0.18
Moravec 1969   12  0.3740  0.0010  0.1916  0.6334  0.2713  0.41
Morozova 2008   17  0.3358  0.0028  0.1123  0.5074  0.0427  0.14
Neighaus 1950   66  0.1853  0.0062  0.0559  0.0578  0.0365  0.04
Niedzielski 1931   48  0.2218  0.0025  0.0927  0.4457  0.0525  0.15
Ohlsson 1999   53  0.2148  0.0064  0.0554  0.0586  0.0360  0.04
Osinska 1989   52  0.2159  0.0061  0.0469  0.0486  0.0369  0.03
Pachmann 1927   80  0.1332  0.0083  0.0285  0.0286  0.0387  0.02
Paderewski 1930   82  0.1065  0.0084  0.0284  0.0283  0.0386  0.02
Perlemuter 1992   71  0.1715  0.0074  0.0473  0.0485  0.0368  0.03
Pierdomenico 2008   83  0.1083  0.0087  0.0288  0.0287  0.0385  0.02
Poblocka 1999   47  0.2350  0.0042  0.0741  0.2086  0.0342  0.08
Rabcewiczowa 1932   16  0.3441  0.0011  0.1810  0.7227  0.449  0.56
Rachmaninoff 1923   31  0.2812  0.0015  0.1119  0.5951  0.0620  0.19
Rangell 2001   57  0.2019  0.0043  0.0744  0.1581  0.0251  0.05
Richter 1976   63  0.1854  0.0069  0.0377  0.0383  0.0473  0.03
Rosen 1989   27  0.2911  0.0037  0.1134  0.3885  0.0338  0.11
Rosenthal 1930   4  0.575  0.004  0.754  0.913  0.884  0.89
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.851  0.951  0.941  0.991  0.991  0.99
Rosenthal 1931c   3  0.713  0.023  0.893  0.973  0.953  0.96
Rosenthal 1931d   2  0.762  0.022  0.802  0.972  0.982  0.97
Rossi 2007   84  0.1067  0.0068  0.0472  0.0470  0.0455  0.04
Rubinstein 1939   21  0.3255  0.0036  0.1031  0.4068  0.0428  0.13
Rubinstein 1952   49  0.2268  0.0055  0.0750  0.0782  0.0353  0.05
Rubinstein 1966   10  0.3820  0.0016  0.1214  0.6955  0.0717  0.22
Schilhawsky 1960   54  0.2074  0.0071  0.0470  0.0484  0.0376  0.03
Shebanova 2002   76  0.1560  0.0076  0.0382  0.0384  0.0478  0.03
Smith 1975   32  0.2842  0.0033  0.1228  0.4446  0.0821  0.19
Sokolov 2002   62  0.1987  0.0066  0.0558  0.0582  0.0354  0.04
Sztompka 1959   56  0.2075  0.0053  0.0553  0.0584  0.0359  0.04
Tomsic 1995   44  0.2488  0.0034  0.0937  0.2871  0.0435  0.11
Uninsky 1932   59  0.1922  0.0054  0.0555  0.0587  0.0277  0.03
Uninsky 1971   28  0.2943  0.0031  0.0930  0.4277  0.0336  0.11
Wasowski 1980   86  0.0933  0.0088  0.0289  0.0288  0.0284  0.02
Zak 1937   72  0.1776  0.0048  0.0652  0.0683  0.0357  0.04
Zak 1951   61  0.196  0.0045  0.0745  0.1470  0.0444  0.07
Average   5  0.4417  0.005  0.275  0.8459  0.0519  0.20
Random 1   90  -0.0184  0.0090  0.0290  0.0235  0.2445  0.07
Random 2   89  0.0651  0.0085  0.0383  0.036  0.4931  0.12
Random 3   91  -0.1345  0.0091  0.0191  0.0183  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).