Rosenthal 1931c

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.4662  0.0031  0.0828  0.3778  0.0333  0.11
Anderszewski 2003   36  0.4414  0.0035  0.0933  0.2667  0.0435  0.10
Ashkenazy 1981   53  0.3712  0.0051  0.0457  0.0479  0.0379  0.03
Bacha 2000   45  0.406  0.0036  0.0739  0.2164  0.0437  0.09
Badura 1965   86  0.2656  0.0081  0.0286  0.0287  0.0290  0.02
Barbosa 1983   88  0.2234  0.0064  0.0371  0.0386  0.0289  0.02
Biret 1990   29  0.4627  0.0030  0.0929  0.3771  0.0429  0.12
Blet 2003   43  0.4119  0.0047  0.0651  0.0683  0.0273  0.03
Block 1995   85  0.2635  0.0080  0.0383  0.0385  0.0378  0.03
Blumental 1952   14  0.5313  0.009  0.228  0.6439  0.1612  0.32
Boshniakovich 1969   46  0.4036  0.0062  0.0463  0.0471  0.0461  0.04
Brailowsky 1960   27  0.4649  0.0027  0.1023  0.4137  0.2610  0.33
Bunin 1987   78  0.3015  0.0078  0.0382  0.0371  0.0480  0.03
Bunin 1987b   81  0.3064  0.0079  0.0467  0.0474  0.0450  0.04
Chiu 1999   83  0.2757  0.0060  0.0555  0.0581  0.0349  0.04
Cohen 1997   82  0.2750  0.0039  0.0643  0.1340  0.1228  0.12
Cortot 1951   66  0.3484  0.0082  0.0381  0.0383  0.0383  0.03
Csalog 1996   19  0.5065  0.0026  0.1026  0.4036  0.1714  0.26
Czerny 1949   40  0.4274  0.0043  0.0741  0.1579  0.0343  0.07
Czerny 1990   11  0.5346  0.0010  0.2210  0.5948  0.0718  0.20
Duchoud 2007   80  0.3037  0.0052  0.0556  0.0574  0.0459  0.04
Ezaki 2006   34  0.4538  0.0029  0.1024  0.4074  0.0425  0.13
Falvay 1989   23  0.4975  0.0016  0.1720  0.4633  0.309  0.37
Farrell 1958   58  0.3541  0.0048  0.0647  0.0677  0.0447  0.05
Ferenczy 1958   54  0.3620  0.0066  0.0373  0.0376  0.0374  0.03
Fliere 1977   10  0.5442  0.0013  0.139  0.5955  0.0520  0.17
Fou 1978   41  0.4251  0.0032  0.0734  0.2671  0.0434  0.10
Francois 1956   59  0.3585  0.0067  0.0372  0.0388  0.0384  0.03
Friedman 1923   74  0.3130  0.0070  0.0462  0.0480  0.0386  0.03
Friedman 1923b   73  0.3218  0.0063  0.0464  0.0476  0.0462  0.04
Friedman 1930   56  0.3647  0.0061  0.0468  0.0470  0.0457  0.04
Garcia 2007   72  0.3386  0.0075  0.0377  0.0382  0.0377  0.03
Garcia 2007b   62  0.3558  0.0073  0.0380  0.0374  0.0485  0.03
Gierzod 1998   16  0.5331  0.0020  0.0818  0.5175  0.0327  0.12
Gornostaeva 1994   13  0.5321  0.0012  0.1512  0.5945  0.0915  0.23
Groot 1988   61  0.3539  0.0045  0.0545  0.1075  0.0446  0.06
Harasiewicz 1955   60  0.3548  0.0053  0.0649  0.0687  0.0364  0.04
Hatto 1993   70  0.3476  0.0054  0.0553  0.0585  0.0363  0.04
Hatto 1997   64  0.3577  0.0058  0.0650  0.0685  0.0358  0.04
Horowitz 1949   76  0.3166  0.0083  0.0288  0.0282  0.0388  0.02
Indjic 1988   63  0.3525  0.0057  0.0554  0.0581  0.0354  0.04
Kapell 1951   15  0.5359  0.0024  0.0825  0.4058  0.0524  0.14
Kissin 1993   31  0.4623  0.0033  0.0836  0.2478  0.0339  0.08
Kushner 1989   20  0.5043  0.0034  0.1031  0.2972  0.0431  0.11
Luisada 1991   42  0.4232  0.0028  0.0832  0.2971  0.0430  0.11
Lushtak 2004   67  0.3487  0.0046  0.0646  0.0687  0.0360  0.04
Malcuzynski 1961   22  0.4952  0.0022  0.0927  0.3841  0.1117  0.20
Magaloff 1978   8  0.5726  0.0011  0.2413  0.5818  0.377  0.46
Magin 1975   18  0.5178  0.0023  0.1117  0.5182  0.0326  0.12
Michalowski 1933   44  0.4153  0.0044  0.0644  0.1180  0.0344  0.06
Milkina 1970   12  0.537  0.0021  0.1016  0.5362  0.0523  0.16
Mohovich 1999   35  0.4567  0.0040  0.0637  0.2383  0.0340  0.08
Moravec 1969   5  0.618  0.005  0.427  0.666  0.645  0.65
Morozova 2008   55  0.3628  0.0059  0.0552  0.0581  0.0356  0.04
Neighaus 1950   65  0.3488  0.0074  0.0378  0.0383  0.0482  0.03
Niedzielski 1931   21  0.5040  0.0015  0.1515  0.5335  0.2011  0.33
Ohlsson 1999   50  0.3829  0.0050  0.0459  0.0477  0.0452  0.04
Osinska 1989   33  0.4568  0.0042  0.0642  0.1475  0.0441  0.07
Pachmann 1927   51  0.3769  0.0077  0.0284  0.0256  0.0572  0.03
Paderewski 1930   57  0.3579  0.0072  0.0466  0.0461  0.0451  0.04
Perlemuter 1992   75  0.3170  0.0071  0.0465  0.0485  0.0365  0.03
Pierdomenico 2008   87  0.2689  0.0088  0.0370  0.0379  0.0367  0.03
Poblocka 1999   25  0.4744  0.0038  0.0738  0.2277  0.0438  0.09
Rabcewiczowa 1932   7  0.5716  0.006  0.2011  0.5917  0.396  0.48
Rachmaninoff 1923   9  0.549  0.008  0.266  0.7125  0.308  0.46
Rangell 2001   69  0.3463  0.0076  0.0379  0.0379  0.0381  0.03
Richter 1976   84  0.2690  0.0087  0.0374  0.0381  0.0371  0.03
Rosen 1989   30  0.4654  0.0037  0.0835  0.2680  0.0436  0.10
Rosenthal 1930   4  0.814  0.044  0.814  0.921  0.924  0.92
Rosenthal 1931   2  0.873  0.093  0.813  0.943  0.943  0.94
Rosenthal 1931b   1  0.881  0.531  0.532  0.963  0.952  0.95
Rosenthal 1931c   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931d   3  0.862  0.302  0.511  0.963  0.961  0.96
Rossi 2007   71  0.3391  0.0065  0.0375  0.0375  0.0466  0.03
Rubinstein 1939   32  0.4524  0.0018  0.1122  0.4444  0.1016  0.21
Rubinstein 1952   26  0.4771  0.0014  0.1321  0.4638  0.2013  0.30
Rubinstein 1966   49  0.3811  0.0056  0.0461  0.0470  0.0555  0.04
Schilhawsky 1960   38  0.445  0.0019  0.0830  0.3073  0.0432  0.11
Shebanova 2002   37  0.4480  0.0041  0.0540  0.1781  0.0342  0.07
Smith 1975   17  0.5245  0.0017  0.2114  0.5756  0.0522  0.17
Sokolov 2002   24  0.4960  0.0025  0.1019  0.4746  0.0621  0.17
Sztompka 1959   39  0.4381  0.0049  0.0648  0.0677  0.0448  0.05
Tomsic 1995   79  0.3082  0.0086  0.0285  0.0280  0.0470  0.03
Uninsky 1932   47  0.3833  0.0055  0.0460  0.0483  0.0375  0.03
Uninsky 1971   68  0.3455  0.0085  0.0376  0.0363  0.0553  0.04
Wasowski 1980   77  0.3183  0.0084  0.0287  0.0283  0.0387  0.02
Zak 1937   48  0.3822  0.0068  0.0369  0.0386  0.0368  0.03
Zak 1951   52  0.3717  0.0069  0.0458  0.0488  0.0269  0.03
Average   6  0.6010  0.007  0.215  0.7967  0.0419  0.18
Random 1   90  -0.1072  0.0089  0.0290  0.0231  0.1745  0.06
Random 2   89  -0.0373  0.0090  0.0289  0.0248  0.0476  0.03
Random 3   91  -0.1561  0.0091  0.0191  0.0189  0.0191  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).