Richter 1976

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.6358  0.0026  0.0824  0.2979  0.0340  0.09
Anderszewski 2003   31  0.5525  0.0013  0.1018  0.3837  0.1218  0.21
Ashkenazy 1981   38  0.5218  0.0122  0.0622  0.3150  0.0527  0.12
Bacha 2000   80  0.2977  0.0077  0.0380  0.0387  0.0283  0.02
Badura 1965   20  0.5810  0.0214  0.1017  0.4028  0.3310  0.36
Barbosa 1983   73  0.3555  0.0075  0.0286  0.0284  0.0387  0.02
Biret 1990   66  0.3984  0.0069  0.0371  0.0374  0.0477  0.03
Blet 2003   23  0.5739  0.0050  0.0651  0.0655  0.0554  0.05
Block 1995   12  0.6222  0.0116  0.0827  0.2829  0.2413  0.26
Blumental 1952   87  0.1653  0.0087  0.0379  0.0387  0.0288  0.02
Boshniakovich 1969   10  0.6427  0.0011  0.1210  0.4819  0.378  0.42
Brailowsky 1960   50  0.4856  0.0054  0.0648  0.0670  0.0450  0.05
Bunin 1987   7  0.6561  0.006  0.208  0.518  0.516  0.51
Bunin 1987b   8  0.657  0.035  0.197  0.519  0.515  0.51
Chiu 1999   71  0.3665  0.0055  0.0652  0.0662  0.0451  0.05
Cohen 1997   84  0.2226  0.0072  0.0378  0.0355  0.0475  0.03
Cortot 1951   29  0.5535  0.0047  0.0650  0.0646  0.0749  0.06
Csalog 1996   68  0.3731  0.0039  0.0543  0.1144  0.1034  0.10
Czerny 1949   26  0.5668  0.0025  0.0831  0.2351  0.0626  0.12
Czerny 1990   43  0.5183  0.0058  0.0559  0.0573  0.0362  0.04
Duchoud 2007   47  0.4989  0.0038  0.0633  0.1947  0.0535  0.10
Ezaki 2006   19  0.5871  0.0033  0.0532  0.2364  0.0430  0.10
Falvay 1989   62  0.4124  0.0074  0.0285  0.0277  0.0467  0.03
Farrell 1958   67  0.3885  0.0076  0.0284  0.0270  0.0469  0.03
Ferenczy 1958   28  0.5516  0.0132  0.0936  0.1532  0.2020  0.17
Fliere 1977   5  0.6730  0.009  0.146  0.5447  0.0521  0.16
Fou 1978   36  0.5347  0.0035  0.0739  0.1368  0.0444  0.07
Francois 1956   65  0.3969  0.0081  0.0370  0.0365  0.0481  0.03
Friedman 1923   86  0.2272  0.0084  0.0281  0.0276  0.0482  0.03
Friedman 1923b   85  0.2270  0.0082  0.0374  0.0362  0.0561  0.04
Friedman 1930   76  0.3378  0.0066  0.0460  0.0457  0.0558  0.04
Garcia 2007   54  0.4636  0.0049  0.0647  0.0669  0.0455  0.05
Garcia 2007b   81  0.2657  0.0067  0.0557  0.0577  0.0364  0.04
Gierzod 1998   40  0.5281  0.0045  0.0554  0.0579  0.0359  0.04
Gornostaeva 1994   52  0.4742  0.0061  0.0467  0.0482  0.0276  0.03
Groot 1988   27  0.5563  0.0044  0.0544  0.1047  0.0546  0.07
Harasiewicz 1955   3  0.682  0.162  0.263  0.5910  0.453  0.52
Hatto 1993   60  0.4229  0.0030  0.0625  0.2934  0.1616  0.22
Hatto 1997   57  0.4521  0.0120  0.0721  0.3152  0.0525  0.12
Horowitz 1949   6  0.674  0.104  0.294  0.588  0.592  0.58
Indjic 1988   58  0.4446  0.0031  0.1023  0.3042  0.1219  0.19
Kapell 1951   22  0.579  0.0219  0.0715  0.4355  0.0522  0.15
Kissin 1993   4  0.685  0.078  0.129  0.4829  0.2211  0.32
Kushner 1989   24  0.578  0.0342  0.0837  0.1581  0.0345  0.07
Luisada 1991   45  0.5067  0.0057  0.0465  0.0478  0.0365  0.03
Lushtak 2004   30  0.5538  0.0017  0.0728  0.2763  0.0436  0.10
Malcuzynski 1961   16  0.5951  0.0024  0.0629  0.2653  0.0431  0.10
Magaloff 1978   56  0.4662  0.0063  0.0464  0.0486  0.0366  0.03
Magin 1975   18  0.5812  0.0223  0.0714  0.4443  0.1114  0.22
Michalowski 1933   63  0.4079  0.0046  0.0553  0.0554  0.0653  0.05
Milkina 1970   37  0.5333  0.0053  0.0649  0.0675  0.0452  0.05
Mohovich 1999   41  0.5245  0.0052  0.0646  0.0679  0.0360  0.04
Moravec 1969   78  0.3223  0.0185  0.0283  0.0285  0.0284  0.02
Morozova 2008   21  0.5841  0.0028  0.0826  0.2851  0.0429  0.11
Neighaus 1950   35  0.5450  0.0029  0.0719  0.3362  0.0524  0.13
Niedzielski 1931   53  0.4619  0.0143  0.0642  0.1248  0.0443  0.07
Ohlsson 1999   48  0.4960  0.0037  0.0530  0.2661  0.0433  0.10
Osinska 1989   44  0.5148  0.0059  0.0558  0.0581  0.0356  0.04
Pachmann 1927   39  0.5264  0.0051  0.0555  0.0526  0.2132  0.10
Paderewski 1930   55  0.4632  0.0060  0.0466  0.0487  0.0271  0.03
Perlemuter 1992   13  0.6217  0.0115  0.1216  0.4233  0.1612  0.26
Pierdomenico 2008   59  0.4244  0.0065  0.0556  0.0570  0.0357  0.04
Poblocka 1999   1  0.723  0.103  0.241  0.6413  0.404  0.51
Rabcewiczowa 1932   77  0.3366  0.0083  0.0282  0.0268  0.0386  0.02
Rachmaninoff 1923   42  0.5188  0.0041  0.0640  0.1268  0.0441  0.07
Rangell 2001   64  0.4054  0.0056  0.0461  0.0461  0.0463  0.04
Richter 1976   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   61  0.4128  0.0070  0.0372  0.0368  0.0474  0.03
Rosenthal 1930   46  0.5034  0.0040  0.0538  0.1439  0.1423  0.14
Rosenthal 1931   70  0.3682  0.0068  0.0369  0.0378  0.0372  0.03
Rosenthal 1931b   75  0.3373  0.0079  0.0377  0.0374  0.0379  0.03
Rosenthal 1931c   69  0.3780  0.0071  0.0375  0.0384  0.0289  0.02
Rosenthal 1931d   74  0.3486  0.0080  0.0368  0.0368  0.0478  0.03
Rossi 2007   83  0.2587  0.0086  0.0287  0.0285  0.0385  0.02
Rubinstein 1939   82  0.266  0.0321  0.0741  0.1273  0.0442  0.07
Rubinstein 1952   79  0.3113  0.0173  0.0376  0.0364  0.0480  0.03
Rubinstein 1966   72  0.3552  0.0078  0.0373  0.0382  0.0373  0.03
Schilhawsky 1960   2  0.711  0.211  0.212  0.642  0.551  0.59
Shebanova 2002   34  0.5411  0.0236  0.0634  0.1849  0.0539  0.09
Smith 1975   51  0.4837  0.0062  0.0462  0.0479  0.0368  0.03
Sokolov 2002   14  0.6014  0.0110  0.0913  0.4434  0.319  0.37
Sztompka 1959   32  0.5520  0.0148  0.0845  0.0863  0.0547  0.06
Tomsic 1995   49  0.4949  0.0064  0.0463  0.0483  0.0370  0.03
Uninsky 1932   33  0.5474  0.0034  0.0535  0.1757  0.0538  0.09
Uninsky 1971   9  0.6415  0.017  0.135  0.5424  0.367  0.44
Wasowski 1980   17  0.5840  0.0027  0.0720  0.3171  0.0428  0.11
Zak 1937   25  0.5775  0.0018  0.0712  0.4543  0.1115  0.22
Zak 1951   15  0.5990  0.0012  0.1011  0.4743  0.0917  0.21
Random 1   88  -0.0659  0.0088  0.0289  0.029  0.4737  0.10
Random 2   90  -0.1443  0.0089  0.0288  0.0230  0.1748  0.06
Random 3   89  -0.1276  0.0090  0.0190  0.0183  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).