Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.651  0.271  0.271  0.6311  0.371  0.48
Anderszewski 2003   68  0.3522  0.0173  0.0370  0.0374  0.0377  0.03
Ashkenazy 1981   31  0.5369  0.0019  0.1119  0.3743  0.1128  0.20
Bacha 2000   84  0.1432  0.0085  0.0286  0.0282  0.0285  0.02
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   24  0.5583  0.0030  0.0724  0.3130  0.2915  0.30
Biret 1990   58  0.4157  0.0056  0.0468  0.0477  0.0382  0.03
Blet 2003   7  0.618  0.034  0.153  0.6019  0.343  0.45
Block 1995   69  0.3547  0.0078  0.0369  0.0373  0.0380  0.03
Blumental 1952   65  0.3746  0.0064  0.0461  0.0458  0.0464  0.04
Boshniakovich 1969   18  0.5715  0.0231  0.0730  0.2827  0.2120  0.24
Brailowsky 1960   70  0.3367  0.0081  0.0283  0.0279  0.0471  0.03
Bunin 1987   36  0.5159  0.0036  0.0737  0.2155  0.0541  0.10
Bunin 1987b   35  0.5165  0.0037  0.0736  0.2154  0.0538  0.10
Chiu 1999   61  0.4026  0.0157  0.0550  0.0564  0.0455  0.04
Cohen 1997   83  0.1748  0.0079  0.0377  0.0365  0.0381  0.03
Cortot 1951   17  0.574  0.0420  0.1020  0.3622  0.3212  0.34
Csalog 1996   67  0.3662  0.0058  0.0455  0.0433  0.2539  0.10
Czerny 1949   5  0.6184  0.0023  0.0822  0.3240  0.1327  0.20
Czerny 1990   3  0.6474  0.0011  0.088  0.5043  0.0924  0.21
Duchoud 2007   23  0.5530  0.009  0.099  0.4932  0.2510  0.35
Ezaki 2006   1  0.667  0.033  0.164  0.5929  0.1813  0.33
Falvay 1989   45  0.4943  0.0053  0.0458  0.0456  0.0456  0.04
Farrell 1958   74  0.2866  0.0082  0.0280  0.0284  0.0388  0.02
Ferenczy 1958   66  0.3738  0.0062  0.0465  0.0447  0.0563  0.04
Fliere 1977   6  0.6137  0.0010  0.087  0.5342  0.1218  0.25
Fou 1978   52  0.4454  0.0028  0.0633  0.2243  0.1231  0.16
Francois 1956   33  0.5258  0.0046  0.0452  0.0462  0.0469  0.04
Friedman 1923   80  0.2050  0.0068  0.0466  0.0422  0.3435  0.12
Friedman 1923b   82  0.2085  0.0069  0.0463  0.0425  0.3237  0.11
Friedman 1930   64  0.3929  0.0055  0.0457  0.0443  0.0849  0.06
Garcia 2007   85  0.1375  0.0083  0.0285  0.0274  0.0389  0.02
Garcia 2007b   88  0.0576  0.0089  0.0189  0.0187  0.0190  0.01
Gierzod 1998   47  0.4736  0.0051  0.0456  0.0469  0.0379  0.03
Gornostaeva 1994   26  0.5464  0.0026  0.0623  0.3242  0.1030  0.18
Groot 1988   32  0.5234  0.0042  0.0643  0.1150  0.0547  0.07
Harasiewicz 1955   19  0.5744  0.0033  0.0626  0.3139  0.1426  0.21
Hatto 1993   81  0.2039  0.0061  0.0645  0.0648  0.0453  0.05
Hatto 1997   78  0.2441  0.0060  0.0462  0.0470  0.0378  0.03
Horowitz 1949   56  0.4263  0.0065  0.0467  0.0471  0.0376  0.03
Indjic 1988   79  0.2168  0.0059  0.0551  0.0546  0.0551  0.05
Kapell 1951   55  0.4386  0.0063  0.0453  0.0453  0.0557  0.04
Kissin 1993   22  0.5531  0.0027  0.0625  0.3142  0.1422  0.21
Kushner 1989   12  0.6016  0.028  0.082  0.6016  0.362  0.46
Luisada 1991   72  0.3270  0.0070  0.0372  0.0373  0.0370  0.03
Lushtak 2004   20  0.569  0.037  0.0816  0.4142  0.1123  0.21
Malcuzynski 1961   13  0.5935  0.0012  0.115  0.5539  0.1217  0.26
Magaloff 1978   48  0.4752  0.0052  0.0460  0.0467  0.0373  0.03
Magin 1975   59  0.4127  0.0143  0.0642  0.1262  0.0348  0.06
Michalowski 1933   63  0.3990  0.0067  0.0464  0.0460  0.0561  0.04
Milkina 1970   51  0.4582  0.0049  0.0454  0.0465  0.0458  0.04
Mohovich 1999   38  0.5089  0.0048  0.0548  0.0563  0.0366  0.04
Moravec 1969   39  0.5023  0.0147  0.0547  0.0548  0.0454  0.04
Morozova 2008   10  0.603  0.075  0.1010  0.4731  0.1516  0.27
Neighaus 1950   44  0.4981  0.0045  0.0546  0.0582  0.0367  0.04
Niedzielski 1931   77  0.2672  0.0084  0.0281  0.0282  0.0287  0.02
Ohlsson 1999   30  0.5351  0.0039  0.0831  0.2445  0.0833  0.14
Osinska 1989   8  0.6040  0.0021  0.0818  0.3835  0.1619  0.25
Pachmann 1927   73  0.2942  0.0074  0.0378  0.0351  0.0560  0.04
Paderewski 1930   42  0.4921  0.0150  0.0459  0.0455  0.0459  0.04
Perlemuter 1992   21  0.5655  0.0034  0.0727  0.3133  0.1621  0.22
Pierdomenico 2008   60  0.4171  0.0076  0.0375  0.0385  0.0286  0.02
Poblocka 1999   40  0.4925  0.0138  0.0834  0.2252  0.0442  0.09
Rabcewiczowa 1932   43  0.4979  0.0066  0.0371  0.0355  0.0475  0.03
Rachmaninoff 1923   37  0.5119  0.0132  0.1032  0.2250  0.0443  0.09
Rangell 2001   46  0.4812  0.0213  0.0835  0.2232  0.2025  0.21
Richter 1976   54  0.445  0.0424  0.0738  0.1635  0.1134  0.13
Rosen 1989   53  0.4414  0.0225  0.0639  0.1559  0.0445  0.08
Rosenthal 1930   25  0.5510  0.036  0.0715  0.4117  0.436  0.42
Rosenthal 1931   71  0.3356  0.0072  0.0376  0.0348  0.0562  0.04
Rosenthal 1931b   76  0.2661  0.0077  0.0373  0.0357  0.0484  0.03
Rosenthal 1931c   28  0.5328  0.0015  0.0717  0.4015  0.398  0.39
Rosenthal 1931d   75  0.2687  0.0080  0.0282  0.0251  0.0583  0.03
Rossi 2007   62  0.3980  0.0075  0.0379  0.0365  0.0372  0.03
Rubinstein 1939   86  0.1233  0.0088  0.0288  0.0262  0.0474  0.03
Rubinstein 1952   57  0.4149  0.0071  0.0374  0.0362  0.0568  0.04
Rubinstein 1966   50  0.4620  0.0129  0.0629  0.2823  0.4111  0.34
Schilhawsky 1960   27  0.5445  0.0035  0.0828  0.2960  0.0436  0.11
Shebanova 2002   41  0.4953  0.0040  0.0641  0.1350  0.0644  0.09
Smith 1975   9  0.6018  0.0116  0.0813  0.4148  0.0532  0.14
Sokolov 2002   14  0.586  0.0417  0.0814  0.4128  0.339  0.37
Sztompka 1959   15  0.5713  0.0222  0.0921  0.3330  0.3014  0.31
Tomsic 1995   16  0.572  0.082  0.126  0.5421  0.335  0.42
Uninsky 1932   4  0.6324  0.0114  0.0711  0.4419  0.424  0.43
Uninsky 1971   11  0.6011  0.0318  0.1012  0.4227  0.367  0.39
Wasowski 1980   29  0.5317  0.0141  0.0640  0.1522  0.2429  0.19
Zak 1937   49  0.4660  0.0054  0.0549  0.0549  0.0650  0.05
Zak 1951   34  0.5173  0.0044  0.0544  0.0959  0.0546  0.07
Random 1   90  -0.0677  0.0090  0.0190  0.0132  0.1865  0.04
Random 2   87  0.0688  0.0086  0.0284  0.022  0.4940  0.10
Random 3   89  -0.0178  0.0087  0.0287  0.0235  0.1452  0.05

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).