Rosenthal 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.5512  0.0138  0.0637  0.1957  0.0437  0.09
Anderszewski 2003   35  0.5621  0.0046  0.0451  0.0446  0.0459  0.04
Ashkenazy 1981   28  0.5831  0.0032  0.0529  0.2663  0.0339  0.09
Bacha 2000   79  0.3166  0.0090  0.0189  0.0186  0.0291  0.01
Badura 1965   38  0.5515  0.016  0.1318  0.4316  0.416  0.42
Barbosa 1983   75  0.3759  0.0060  0.0372  0.0369  0.0372  0.03
Biret 1990   34  0.5624  0.0048  0.0452  0.0470  0.0382  0.03
Blet 2003   52  0.5184  0.0059  0.0455  0.0477  0.0373  0.03
Block 1995   66  0.4548  0.0062  0.0461  0.0451  0.0461  0.04
Blumental 1952   77  0.3316  0.0174  0.0459  0.0468  0.0378  0.03
Boshniakovich 1969   58  0.4885  0.0072  0.0454  0.0457  0.0462  0.04
Brailowsky 1960   59  0.4845  0.0065  0.0368  0.0351  0.0552  0.04
Bunin 1987   19  0.6333  0.0011  0.0913  0.4629  0.3011  0.37
Bunin 1987b   20  0.6347  0.0012  0.1214  0.4629  0.309  0.37
Chiu 1999   86  0.2239  0.0082  0.0370  0.0383  0.0366  0.03
Cohen 1997   81  0.2840  0.0080  0.0379  0.0364  0.0380  0.03
Cortot 1951   21  0.6343  0.0028  0.0924  0.3732  0.2515  0.30
Csalog 1996   78  0.3380  0.0086  0.0286  0.0281  0.0387  0.02
Czerny 1949   12  0.668  0.0215  0.114  0.5632  0.2410  0.37
Czerny 1990   13  0.6642  0.0023  0.0721  0.4076  0.0335  0.11
Duchoud 2007   24  0.6071  0.0040  0.0639  0.1749  0.0538  0.09
Ezaki 2006   16  0.6560  0.0019  0.0715  0.4547  0.0624  0.16
Falvay 1989   46  0.5230  0.0044  0.0543  0.1082  0.0346  0.05
Farrell 1958   40  0.5555  0.0052  0.0548  0.0566  0.0454  0.04
Ferenczy 1958   49  0.5232  0.0066  0.0378  0.0345  0.0849  0.05
Fliere 1977   9  0.6861  0.0024  0.1023  0.3861  0.0431  0.12
Fou 1978   68  0.4241  0.0058  0.0373  0.0352  0.0655  0.04
Francois 1956   15  0.6589  0.0020  0.0725  0.3642  0.1023  0.19
Friedman 1923   84  0.2644  0.0042  0.0940  0.1620  0.3919  0.25
Friedman 1923b   83  0.2675  0.0041  0.0541  0.1521  0.3520  0.23
Friedman 1930   51  0.513  0.057  0.148  0.546  0.484  0.51
Garcia 2007   80  0.3172  0.0067  0.0371  0.0374  0.0376  0.03
Garcia 2007b   88  0.0881  0.0084  0.0284  0.0269  0.0390  0.02
Gierzod 1998   14  0.6635  0.0027  0.0828  0.2851  0.0434  0.11
Gornostaeva 1994   8  0.696  0.0214  0.1111  0.4828  0.2313  0.33
Groot 1988   17  0.642  0.142  0.1412  0.4830  0.2314  0.33
Harasiewicz 1955   65  0.465  0.0310  0.1019  0.4235  0.1618  0.26
Hatto 1993   74  0.3763  0.0068  0.0380  0.0353  0.0483  0.03
Hatto 1997   69  0.4228  0.0061  0.0365  0.0355  0.0374  0.03
Horowitz 1949   32  0.5613  0.0137  0.0631  0.2533  0.1821  0.21
Indjic 1988   72  0.3864  0.0069  0.0375  0.0352  0.0471  0.03
Kapell 1951   25  0.5986  0.0051  0.0456  0.0459  0.0456  0.04
Kissin 1993   53  0.5058  0.0053  0.0463  0.0457  0.0458  0.04
Kushner 1989   6  0.7037  0.0018  0.0817  0.4338  0.1916  0.29
Luisada 1991   71  0.3952  0.0081  0.0382  0.0387  0.0284  0.02
Lushtak 2004   63  0.4690  0.0029  0.0633  0.2455  0.0436  0.10
Malcuzynski 1961   5  0.7153  0.0013  0.106  0.5436  0.1617  0.29
Magaloff 1978   7  0.709  0.019  0.1310  0.5034  0.2312  0.34
Magin 1975   56  0.4922  0.0063  0.0367  0.0374  0.0368  0.03
Michalowski 1933   76  0.3576  0.0031  0.0545  0.0958  0.0543  0.07
Milkina 1970   47  0.5282  0.0071  0.0374  0.0374  0.0370  0.03
Mohovich 1999   29  0.5770  0.0035  0.0536  0.2069  0.0341  0.08
Moravec 1969   30  0.5619  0.0057  0.0646  0.0661  0.0445  0.05
Morozova 2008   43  0.5317  0.0122  0.0722  0.3868  0.0432  0.12
Neighaus 1950   33  0.5678  0.0033  0.0532  0.2574  0.0340  0.09
Niedzielski 1931   62  0.4620  0.0075  0.0369  0.0352  0.0467  0.03
Ohlsson 1999   41  0.5451  0.0049  0.0547  0.0575  0.0357  0.04
Osinska 1989   26  0.5856  0.0050  0.0457  0.0472  0.0451  0.04
Pachmann 1927   87  0.2291  0.0083  0.0283  0.0270  0.0386  0.02
Paderewski 1930   37  0.5526  0.0056  0.0549  0.0544  0.0844  0.06
Perlemuter 1992   48  0.5229  0.0025  0.0827  0.3360  0.0433  0.11
Pierdomenico 2008   42  0.5427  0.0043  0.0542  0.1455  0.0442  0.07
Poblocka 1999   36  0.5577  0.0070  0.0376  0.0382  0.0364  0.03
Rabcewiczowa 1932   50  0.5236  0.0054  0.0460  0.0459  0.0453  0.04
Rachmaninoff 1923   23  0.607  0.028  0.139  0.5119  0.328  0.40
Rangell 2001   64  0.4649  0.0077  0.0464  0.0480  0.0281  0.03
Richter 1976   44  0.5357  0.0030  0.0734  0.2238  0.1125  0.16
Rosen 1989   45  0.5274  0.0055  0.0550  0.0583  0.0277  0.03
Rosenthal 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931   4  0.714  0.043  0.112  0.624  0.632  0.62
Rosenthal 1931b   10  0.6711  0.0116  0.125  0.555  0.583  0.56
Rosenthal 1931c   1  0.861  0.511  0.511  0.744  0.721  0.73
Rosenthal 1931d   11  0.6710  0.0121  0.0720  0.419  0.447  0.42
Rossi 2007   85  0.2446  0.0073  0.0458  0.0456  0.0365  0.03
Rubinstein 1939   82  0.2738  0.0089  0.0190  0.0161  0.0485  0.02
Rubinstein 1952   73  0.3754  0.0085  0.0285  0.0269  0.0389  0.02
Rubinstein 1966   57  0.4934  0.0078  0.0462  0.0466  0.0460  0.04
Schilhawsky 1960   22  0.6165  0.0026  0.0826  0.3347  0.0726  0.15
Shebanova 2002   70  0.4179  0.0079  0.0381  0.0380  0.0375  0.03
Smith 1975   18  0.6418  0.0017  0.0816  0.4460  0.0429  0.13
Sokolov 2002   3  0.7473  0.005  0.167  0.5422  0.375  0.45
Sztompka 1959   31  0.5614  0.0139  0.0630  0.2638  0.1622  0.20
Tomsic 1995   54  0.5087  0.0045  0.0544  0.0981  0.0348  0.05
Uninsky 1932   55  0.4988  0.0036  0.0538  0.1843  0.1228  0.15
Uninsky 1971   27  0.5823  0.0034  0.0535  0.2146  0.0830  0.13
Wasowski 1980   67  0.4350  0.0076  0.0377  0.0378  0.0363  0.03
Zak 1937   61  0.4768  0.0064  0.0366  0.0370  0.0469  0.03
Zak 1951   60  0.4783  0.0047  0.0453  0.0447  0.0647  0.05
Average   2  0.7425  0.004  0.113  0.5755  0.0427  0.15
Random 1   91  -0.0669  0.0091  0.0191  0.0169  0.0388  0.02
Random 2   90  0.0262  0.0088  0.0187  0.0119  0.3050  0.05
Random 3   89  0.0667  0.0087  0.0188  0.0141  0.1279  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).