Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.4114  0.0053  0.0462  0.0473  0.0375  0.03
Anderszewski 2003   19  0.529  0.0018  0.0725  0.3640  0.0913  0.18
Ashkenazy 1981   57  0.4178  0.0057  0.0545  0.0587  0.0354  0.04
Bacha 2000   53  0.4115  0.0056  0.0453  0.0479  0.0359  0.03
Badura 1965   84  0.2618  0.0074  0.0281  0.0286  0.0289  0.02
Barbosa 1983   87  0.2146  0.0066  0.0454  0.0473  0.0450  0.04
Biret 1990   32  0.4635  0.0051  0.0455  0.0472  0.0457  0.04
Blet 2003   59  0.4047  0.0065  0.0547  0.0567  0.0451  0.04
Block 1995   51  0.4183  0.0049  0.0366  0.0370  0.0378  0.03
Blumental 1952   75  0.3212  0.0040  0.0443  0.0963  0.0345  0.05
Boshniakovich 1969   50  0.4168  0.0058  0.0460  0.0477  0.0379  0.03
Brailowsky 1960   11  0.5864  0.007  0.1411  0.5222  0.348  0.42
Bunin 1987   67  0.346  0.0076  0.0546  0.0577  0.0355  0.04
Bunin 1987b   69  0.3411  0.0075  0.0377  0.0372  0.0465  0.03
Chiu 1999   83  0.2745  0.0055  0.0457  0.0458  0.0446  0.04
Cohen 1997   79  0.2928  0.0046  0.0371  0.0324  0.2335  0.08
Cortot 1951   62  0.3930  0.0077  0.0285  0.0274  0.0482  0.03
Csalog 1996   66  0.3658  0.0067  0.0365  0.0359  0.0471  0.03
Czerny 1949   60  0.4059  0.0063  0.0375  0.0378  0.0374  0.03
Czerny 1990   27  0.5065  0.0020  0.0718  0.4271  0.0325  0.11
Duchoud 2007   64  0.3884  0.0069  0.0459  0.0482  0.0376  0.03
Ezaki 2006   23  0.5123  0.0022  0.0915  0.4658  0.0418  0.14
Falvay 1989   17  0.5379  0.0010  0.1110  0.5230  0.357  0.43
Farrell 1958   38  0.4438  0.0036  0.0533  0.1875  0.0432  0.08
Ferenczy 1958   71  0.3369  0.0082  0.0283  0.0278  0.0386  0.02
Fliere 1977   13  0.5766  0.0023  0.0913  0.5086  0.0227  0.10
Fou 1978   24  0.5036  0.0011  0.1212  0.5152  0.0517  0.16
Francois 1956   29  0.4848  0.0042  0.0537  0.1475  0.0342  0.06
Friedman 1923   86  0.2222  0.0087  0.0369  0.0369  0.0558  0.04
Friedman 1923b   85  0.227  0.0086  0.0372  0.0367  0.0556  0.04
Friedman 1930   74  0.325  0.0070  0.0373  0.0368  0.0472  0.03
Garcia 2007   61  0.4020  0.0062  0.0364  0.0374  0.0377  0.03
Garcia 2007b   70  0.3450  0.0059  0.0452  0.0475  0.0383  0.03
Gierzod 1998   20  0.5242  0.0032  0.0635  0.1683  0.0337  0.07
Gornostaeva 1994   5  0.6532  0.006  0.237  0.6122  0.326  0.44
Groot 1988   28  0.4851  0.0021  0.0724  0.3758  0.0421  0.12
Harasiewicz 1955   37  0.4452  0.0016  0.0821  0.4072  0.0326  0.11
Hatto 1993   82  0.2880  0.0080  0.0282  0.0268  0.0481  0.03
Hatto 1997   80  0.2953  0.0079  0.0287  0.0274  0.0473  0.03
Horowitz 1949   58  0.4143  0.0054  0.0451  0.0476  0.0366  0.03
Indjic 1988   81  0.2885  0.0081  0.0379  0.0369  0.0470  0.03
Kapell 1951   26  0.5086  0.0037  0.0438  0.1484  0.0340  0.06
Kissin 1993   21  0.5224  0.0017  0.0917  0.4476  0.0324  0.11
Kushner 1989   9  0.6054  0.0014  0.1023  0.3878  0.0323  0.11
Luisada 1991   35  0.4555  0.0039  0.0540  0.1276  0.0339  0.06
Lushtak 2004   68  0.3444  0.0041  0.0541  0.1085  0.0253  0.04
Malcuzynski 1961   10  0.5887  0.0024  0.1222  0.3852  0.0420  0.12
Magaloff 1978   6  0.6467  0.005  0.245  0.6518  0.375  0.49
Magin 1975   12  0.5770  0.0012  0.0814  0.4946  0.0516  0.16
Michalowski 1933   78  0.3071  0.0078  0.0284  0.0278  0.0384  0.02
Milkina 1970   7  0.6113  0.009  0.178  0.5759  0.0514  0.17
Mohovich 1999   15  0.5356  0.0025  0.1116  0.4565  0.0419  0.13
Moravec 1969   18  0.5219  0.0015  0.0819  0.4224  0.349  0.38
Morozova 2008   43  0.4326  0.0033  0.0628  0.2379  0.0334  0.08
Neighaus 1950   46  0.4340  0.0060  0.0448  0.0487  0.0280  0.03
Niedzielski 1931   41  0.4372  0.0048  0.0374  0.0383  0.0363  0.03
Ohlsson 1999   52  0.4188  0.0061  0.0449  0.0487  0.0369  0.03
Osinska 1989   30  0.4716  0.0050  0.0367  0.0387  0.0361  0.03
Pachmann 1927   54  0.4149  0.0045  0.0463  0.0459  0.0548  0.04
Paderewski 1930   44  0.4327  0.0064  0.0368  0.0360  0.0468  0.03
Perlemuter 1992   34  0.4521  0.0027  0.1026  0.3179  0.0328  0.10
Pierdomenico 2008   48  0.4257  0.0052  0.0450  0.0458  0.0547  0.04
Poblocka 1999   55  0.4181  0.0073  0.0456  0.0487  0.0262  0.03
Rabcewiczowa 1932   39  0.4410  0.0019  0.1127  0.2649  0.0522  0.11
Rachmaninoff 1923   14  0.5441  0.0013  0.109  0.5451  0.0515  0.16
Rangell 2001   25  0.5074  0.0029  0.0634  0.1859  0.0436  0.08
Richter 1976   65  0.3631  0.0072  0.0378  0.0369  0.0367  0.03
Rosen 1989   16  0.5325  0.0030  0.0829  0.2388  0.0238  0.07
Rosenthal 1930   4  0.784  0.004  0.664  0.862  0.834  0.84
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.981  0.951  0.941  0.991  0.991  0.99
Rosenthal 1931c   3  0.873  0.013  0.853  0.943  0.923  0.93
Rosenthal 1931d   2  0.952  0.032  0.932  0.972  0.972  0.97
Rossi 2007   72  0.3317  0.0034  0.0636  0.1657  0.0529  0.09
Rubinstein 1939   42  0.4360  0.0035  0.0739  0.1320  0.3212  0.20
Rubinstein 1952   33  0.4682  0.0026  0.1620  0.4135  0.2510  0.32
Rubinstein 1966   36  0.4575  0.0038  0.0531  0.1963  0.0430  0.09
Schilhawsky 1960   31  0.4689  0.0028  0.0832  0.1860  0.0433  0.08
Shebanova 2002   56  0.4190  0.0071  0.0458  0.0476  0.0452  0.04
Smith 1975   8  0.6033  0.008  0.136  0.6235  0.1311  0.28
Sokolov 2002   22  0.5276  0.0031  0.0630  0.2079  0.0331  0.08
Sztompka 1959   63  0.3837  0.0068  0.0461  0.0478  0.0449  0.04
Tomsic 1995   47  0.4273  0.0044  0.0344  0.0650  0.0544  0.05
Uninsky 1932   76  0.318  0.0083  0.0286  0.0277  0.0387  0.02
Uninsky 1971   73  0.3234  0.0084  0.0280  0.0284  0.0385  0.02
Wasowski 1980   77  0.3061  0.0085  0.0370  0.0372  0.0460  0.03
Zak 1937   45  0.4377  0.0047  0.0376  0.0383  0.0364  0.03
Zak 1951   40  0.4362  0.0043  0.0442  0.0984  0.0343  0.05
Random 1   88  -0.0929  0.0089  0.0189  0.0118  0.3641  0.06
Random 2   89  -0.1163  0.0088  0.0188  0.0156  0.0488  0.02
Random 3   90  -0.1139  0.0090  0.0190  0.0178  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).