Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.4132  0.0038  0.0644  0.1214  0.5138  0.25
Anderszewski 2003   78  0.3175  0.0071  0.0375  0.0358  0.0581  0.04
Ashkenazy 1981   66  0.3471  0.0078  0.0386  0.0366  0.0584  0.04
Bacha 2000   85  0.2981  0.0085  0.0379  0.0374  0.0387  0.03
Badura 1965   68  0.3483  0.0051  0.0555  0.0515  0.4647  0.15
Barbosa 1983   61  0.3591  0.0064  0.0468  0.0467  0.0580  0.04
Biret 1990   59  0.3565  0.0065  0.0461  0.0438  0.2462  0.10
Blet 2003   74  0.3377  0.0077  0.0388  0.0355  0.0582  0.04
Block 1995   28  0.4255  0.0018  0.1018  0.3913  0.5716  0.47
Blumental 1952   73  0.3324  0.0060  0.0378  0.0341  0.1569  0.07
Boshniakovich 1969   7  0.5017  0.006  0.296  0.678  0.686  0.67
Brailowsky 1960   37  0.4159  0.0040  0.0635  0.1820  0.5828  0.32
Bunin 1987   82  0.3078  0.0068  0.0554  0.0539  0.1665  0.09
Bunin 1987b   81  0.3084  0.0067  0.0376  0.0340  0.2067  0.08
Chiu 1999   11  0.4737  0.0014  0.119  0.517  0.5810  0.54
Cohen 1997   51  0.3814  0.0053  0.0548  0.0511  0.6243  0.18
Cortot 1951   56  0.3731  0.0026  0.0739  0.1618  0.5133  0.29
Csalog 1996   19  0.4519  0.0030  0.0628  0.2812  0.4825  0.37
Czerny 1949   80  0.3187  0.0084  0.0384  0.0356  0.0583  0.04
Czerny 1990   63  0.3585  0.0072  0.0471  0.0481  0.0485  0.04
Duchoud 2007   25  0.4444  0.0015  0.1011  0.503  0.727  0.60
Ezaki 2006   13  0.4634  0.0019  0.1115  0.4313  0.5811  0.50
Falvay 1989   38  0.4164  0.0043  0.0736  0.1845  0.1052  0.13
Farrell 1958   58  0.3518  0.0054  0.0457  0.0437  0.1666  0.08
Ferenczy 1958   69  0.3412  0.0062  0.0469  0.0424  0.6145  0.16
Fliere 1977   3  0.592  0.052  0.462  0.813  0.772  0.79
Fou 1978   14  0.4633  0.0020  0.0929  0.2729  0.3331  0.30
Francois 1956   65  0.3551  0.0069  0.0462  0.0422  0.4356  0.13
Friedman 1923   27  0.4328  0.0028  0.0622  0.319  0.6617  0.45
Friedman 1923b   29  0.4242  0.0029  0.0624  0.309  0.6618  0.44
Friedman 1930   26  0.4316  0.0013  0.0817  0.4210  0.6013  0.50
Garcia 2007   47  0.399  0.0036  0.0542  0.1416  0.4737  0.26
Garcia 2007b   87  0.2672  0.0081  0.0387  0.0346  0.0686  0.04
Gierzod 1998   21  0.4445  0.0023  0.0823  0.3025  0.3827  0.34
Gornostaeva 1994   4  0.546  0.015  0.395  0.694  0.785  0.73
Groot 1988   45  0.3913  0.0016  0.0816  0.4226  0.3722  0.39
Harasiewicz 1955   8  0.4938  0.0010  0.1110  0.5036  0.3023  0.39
Hatto 1993   32  0.4269  0.0033  0.0641  0.1558  0.0763  0.10
Hatto 1997   31  0.4226  0.0032  0.0632  0.2134  0.2440  0.22
Horowitz 1949   77  0.3266  0.0070  0.0465  0.0426  0.4848  0.14
Indjic 1988   50  0.3858  0.0057  0.0459  0.0455  0.0675  0.05
Kapell 1951   44  0.3986  0.0055  0.0464  0.0470  0.0576  0.04
Kissin 1993   71  0.3389  0.0076  0.0380  0.0365  0.0679  0.04
Kushner 1989   18  0.4560  0.0011  0.0814  0.4427  0.3521  0.39
Luisada 1991   54  0.3715  0.0061  0.0373  0.0342  0.1270  0.06
Lushtak 2004   49  0.3910  0.0050  0.0647  0.0629  0.3055  0.13
Malcuzynski 1961   41  0.4057  0.0048  0.0550  0.0566  0.0574  0.05
Magaloff 1978   5  0.515  0.017  0.207  0.579  0.568  0.56
Magin 1975   67  0.3435  0.0073  0.0466  0.0452  0.0672  0.05
Michalowski 1933   83  0.3025  0.0087  0.0377  0.0354  0.0678  0.04
Milkina 1970   60  0.3539  0.0059  0.0460  0.0450  0.0773  0.05
Mohovich 1999   6  0.508  0.014  0.274  0.723  0.774  0.74
Moravec 1969   53  0.3729  0.0042  0.0637  0.1838  0.2141  0.19
Morozova 2008   39  0.4043  0.0024  0.0725  0.3033  0.3230  0.31
Neighaus 1950   23  0.4456  0.0025  0.0727  0.2919  0.4426  0.36
Niedzielski 1931   64  0.3579  0.0056  0.0472  0.0427  0.3258  0.11
Ohlsson 1999   10  0.4849  0.009  0.1112  0.4811  0.5014  0.49
Osinska 1989   2  0.603  0.043  0.453  0.814  0.791  0.80
Pachmann 1927   20  0.457  0.0127  0.0730  0.226  0.6224  0.37
Paderewski 1930   88  0.2573  0.0088  0.0467  0.0470  0.0477  0.04
Perlemuter 1992   22  0.4422  0.0022  0.0819  0.395  0.6312  0.50
Pierdomenico 2008   15  0.4623  0.0035  0.0543  0.1310  0.5535  0.27
Poblocka 1999   24  0.4427  0.0021  0.1021  0.3823  0.4919  0.43
Rabcewiczowa 1932   48  0.3974  0.0037  0.0633  0.2023  0.5029  0.32
Rachmaninoff 1923   70  0.3461  0.0044  0.0840  0.1631  0.3139  0.22
Rangell 2001   40  0.404  0.0134  0.0638  0.1716  0.5432  0.30
Richter 1976   9  0.4811  0.0012  0.0820  0.3828  0.4320  0.40
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1930   55  0.3740  0.0058  0.0553  0.0514  0.6242  0.18
Rosenthal 1931   84  0.2946  0.0083  0.0385  0.0334  0.3859  0.11
Rosenthal 1931b   79  0.3176  0.0080  0.0382  0.0325  0.4857  0.12
Rosenthal 1931c   52  0.3730  0.0052  0.0552  0.0516  0.5246  0.16
Rosenthal 1931d   86  0.2867  0.0079  0.0381  0.0321  0.4260  0.11
Rossi 2007   75  0.3221  0.0086  0.0470  0.0418  0.4251  0.13
Rubinstein 1939   76  0.3247  0.0082  0.0383  0.0357  0.0488  0.03
Rubinstein 1952   42  0.4041  0.0047  0.0551  0.0549  0.0871  0.06
Rubinstein 1966   17  0.4552  0.0031  0.0626  0.2966  0.0654  0.13
Schilhawsky 1960   62  0.3550  0.0075  0.0458  0.0433  0.1964  0.09
Shebanova 2002   12  0.4748  0.008  0.168  0.5613  0.549  0.55
Smith 1975   46  0.3953  0.0066  0.0556  0.0537  0.1961  0.10
Sokolov 2002   57  0.3736  0.0063  0.0463  0.0427  0.4150  0.13
Sztompka 1959   30  0.4270  0.0049  0.0646  0.0634  0.3349  0.14
Tomsic 1995   43  0.4054  0.0039  0.0534  0.1818  0.4236  0.27
Uninsky 1932   72  0.3362  0.0074  0.0374  0.0372  0.0389  0.03
Uninsky 1971   16  0.4563  0.0017  0.0813  0.4518  0.4915  0.47
Wasowski 1980   35  0.4120  0.0041  0.0631  0.2134  0.3634  0.27
Zak 1937   33  0.4180  0.0046  0.0549  0.0527  0.3253  0.13
Zak 1951   36  0.4168  0.0045  0.0445  0.0824  0.3744  0.17
Average   1  0.681  0.771  0.771  0.908  0.613  0.74
Random 1   89  0.0088  0.0089  0.0289  0.0222  0.3668  0.08
Random 2   90  -0.0290  0.0090  0.0290  0.0257  0.0590  0.03
Random 3   91  -0.0782  0.0091  0.0191  0.0157  0.0391  0.02

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).