Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.3770  0.0013  0.2010  0.7223  0.4310  0.56
Anderszewski 2003   12  0.3720  0.0011  0.2011  0.7133  0.3512  0.50
Ashkenazy 1981   45  0.2366  0.0046  0.0748  0.0781  0.0350  0.05
Bacha 2000   24  0.3071  0.0026  0.1125  0.4432  0.2115  0.30
Badura 1965   22  0.319  0.0022  0.0920  0.5637  0.1516  0.29
Barbosa 1983   39  0.2524  0.0056  0.0467  0.0484  0.0274  0.03
Biret 1990   76  0.1460  0.0079  0.0470  0.0483  0.0382  0.03
Blet 2003   54  0.2088  0.0059  0.0556  0.0565  0.0461  0.04
Block 1995   36  0.2561  0.0031  0.0828  0.4284  0.0336  0.11
Blumental 1952   14  0.3578  0.0012  0.2017  0.6033  0.2614  0.39
Boshniakovich 1969   68  0.1751  0.0058  0.0462  0.0486  0.0380  0.03
Brailowsky 1960   8  0.3929  0.007  0.315  0.7815  0.636  0.70
Bunin 1987   64  0.1872  0.0077  0.0461  0.0474  0.0381  0.03
Bunin 1987b   67  0.1879  0.0076  0.0377  0.0365  0.0471  0.03
Chiu 1999   50  0.2173  0.0057  0.0560  0.0585  0.0269  0.03
Cohen 1997   23  0.3046  0.0019  0.2019  0.5723  0.5311  0.55
Cortot 1951   34  0.2648  0.0045  0.0745  0.0758  0.0647  0.06
Csalog 1996   69  0.1726  0.0071  0.0473  0.0478  0.0375  0.03
Czerny 1949   41  0.2422  0.0038  0.0838  0.2754  0.0529  0.12
Czerny 1990   49  0.2138  0.0050  0.0747  0.0763  0.0546  0.06
Duchoud 2007   86  0.0880  0.0085  0.0286  0.0284  0.0389  0.02
Ezaki 2006   6  0.4225  0.006  0.318  0.7525  0.497  0.61
Falvay 1989   19  0.3281  0.0023  0.1121  0.5364  0.0523  0.16
Farrell 1958   35  0.254  0.0043  0.0842  0.1878  0.0343  0.07
Ferenczy 1958   7  0.4016  0.008  0.206  0.783  0.785  0.78
Fliere 1977   37  0.2582  0.0037  0.0837  0.2763  0.0438  0.10
Fou 1978   13  0.358  0.0016  0.1412  0.6950  0.0618  0.20
Francois 1956   74  0.1685  0.0051  0.0555  0.0569  0.0465  0.04
Friedman 1923   66  0.1834  0.0066  0.0463  0.0480  0.0384  0.03
Friedman 1923b   72  0.1739  0.0069  0.0474  0.0476  0.0463  0.04
Friedman 1930   77  0.1435  0.0062  0.0559  0.0577  0.0362  0.04
Garcia 2007   80  0.1140  0.0081  0.0380  0.0385  0.0379  0.03
Garcia 2007b   84  0.1089  0.0080  0.0379  0.0380  0.0383  0.03
Gierzod 1998   5  0.4423  0.005  0.397  0.7516  0.488  0.60
Gornostaeva 1994   38  0.2562  0.0039  0.0841  0.1975  0.0342  0.08
Groot 1988   44  0.2341  0.0021  0.0923  0.4880  0.0331  0.12
Harasiewicz 1955   40  0.2552  0.0049  0.0746  0.0784  0.0352  0.05
Hatto 1993   32  0.2790  0.0040  0.0839  0.2373  0.0440  0.10
Hatto 1997   29  0.2867  0.0034  0.0835  0.3683  0.0339  0.10
Horowitz 1949   78  0.1463  0.0055  0.0464  0.0453  0.0557  0.04
Indjic 1988   42  0.2413  0.0048  0.0650  0.0677  0.0449  0.05
Kapell 1951   73  0.1764  0.0078  0.0465  0.0487  0.0370  0.03
Kissin 1993   63  0.1856  0.0072  0.0475  0.0480  0.0460  0.04
Kushner 1989   21  0.3114  0.0025  0.0931  0.4071  0.0428  0.13
Luisada 1991   59  0.1927  0.0074  0.0378  0.0384  0.0366  0.03
Lushtak 2004   18  0.3230  0.0018  0.2116  0.6359  0.0522  0.18
Malcuzynski 1961   28  0.2910  0.0020  0.1024  0.4769  0.0425  0.14
Magaloff 1978   33  0.2674  0.0029  0.0732  0.3975  0.0332  0.11
Magin 1975   57  0.2028  0.0064  0.0466  0.0477  0.0456  0.04
Michalowski 1933   87  0.0831  0.0088  0.0285  0.0287  0.0288  0.02
Milkina 1970   25  0.2944  0.0028  0.0734  0.3781  0.0333  0.11
Mohovich 1999   17  0.337  0.0017  0.1714  0.6848  0.0619  0.20
Moravec 1969   11  0.3736  0.009  0.2015  0.6333  0.2713  0.41
Morozova 2008   16  0.3357  0.0027  0.1122  0.5073  0.0426  0.14
Neighaus 1950   65  0.1853  0.0061  0.0558  0.0577  0.0364  0.04
Niedzielski 1931   47  0.2217  0.0024  0.0926  0.4456  0.0524  0.15
Ohlsson 1999   52  0.2147  0.0063  0.0553  0.0585  0.0359  0.04
Osinska 1989   51  0.2158  0.0060  0.0468  0.0485  0.0368  0.03
Pachmann 1927   79  0.1332  0.0082  0.0284  0.0285  0.0387  0.02
Paderewski 1930   81  0.1065  0.0083  0.0383  0.0382  0.0373  0.03
Perlemuter 1992   70  0.1715  0.0073  0.0472  0.0484  0.0367  0.03
Pierdomenico 2008   82  0.1083  0.0086  0.0287  0.0286  0.0386  0.02
Poblocka 1999   46  0.2349  0.0041  0.0740  0.2085  0.0341  0.08
Rabcewiczowa 1932   15  0.3437  0.0010  0.199  0.7226  0.449  0.56
Rachmaninoff 1923   30  0.2812  0.0014  0.1118  0.5950  0.0620  0.19
Rangell 2001   56  0.2018  0.0042  0.0743  0.1580  0.0251  0.05
Richter 1976   62  0.1854  0.0068  0.0376  0.0382  0.0472  0.03
Rosen 1989   26  0.2911  0.0036  0.1133  0.3884  0.0337  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   83  0.1068  0.0067  0.0471  0.0469  0.0455  0.04
Rubinstein 1939   20  0.3255  0.0035  0.1030  0.4067  0.0427  0.13
Rubinstein 1952   48  0.2269  0.0054  0.0749  0.0781  0.0353  0.05
Rubinstein 1966   9  0.3819  0.0015  0.1213  0.6954  0.0717  0.22
Schilhawsky 1960   53  0.2075  0.0070  0.0469  0.0483  0.0376  0.03
Shebanova 2002   75  0.1559  0.0075  0.0381  0.0383  0.0478  0.03
Smith 1975   31  0.2842  0.0032  0.1227  0.4445  0.0821  0.19
Sokolov 2002   61  0.1986  0.0065  0.0557  0.0581  0.0354  0.04
Sztompka 1959   55  0.2076  0.0052  0.0652  0.0683  0.0358  0.04
Tomsic 1995   43  0.2487  0.0033  0.0936  0.2870  0.0434  0.11
Uninsky 1932   58  0.1921  0.0053  0.0554  0.0586  0.0277  0.03
Uninsky 1971   27  0.2943  0.0030  0.0929  0.4276  0.0335  0.11
Wasowski 1980   85  0.0933  0.0087  0.0288  0.0287  0.0285  0.02
Zak 1937   71  0.1777  0.0047  0.0651  0.0682  0.0448  0.05
Zak 1951   60  0.196  0.0044  0.0744  0.1469  0.0444  0.07
Random 1   89  -0.0184  0.0089  0.0289  0.0236  0.2345  0.07
Random 2   88  0.0650  0.0084  0.0382  0.037  0.4630  0.12
Random 3   90  -0.1345  0.0090  0.0190  0.0182  0.0290  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).