Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.534  0.083  0.138  0.611  0.692  0.65
Anderszewski 2003   36  0.4366  0.0041  0.0537  0.2061  0.0544  0.10
Ashkenazy 1981   38  0.4384  0.0053  0.0473  0.0426  0.2745  0.10
Bacha 2000   78  0.2849  0.0067  0.0476  0.0466  0.0379  0.03
Badura 1965   70  0.3343  0.0071  0.0555  0.0564  0.0472  0.04
Barbosa 1983   9  0.5327  0.008  0.1415  0.5060  0.0629  0.17
Biret 1990   31  0.4419  0.0117  0.0918  0.4942  0.1124  0.23
Blet 2003   11  0.5111  0.0212  0.1510  0.581  0.623  0.60
Block 1995   58  0.3688  0.0051  0.0460  0.0459  0.0574  0.04
Blumental 1952   6  0.542  0.097  0.163  0.6519  0.554  0.60
Boshniakovich 1969   17  0.4816  0.0121  0.1919  0.4742  0.1123  0.23
Brailowsky 1960   1  0.581  0.221  0.221  0.738  0.661  0.69
Bunin 1987   37  0.4331  0.0030  0.0730  0.2838  0.1327  0.19
Bunin 1987b   48  0.3985  0.0044  0.0744  0.1445  0.0743  0.10
Chiu 1999   73  0.3271  0.0063  0.0553  0.0563  0.0555  0.05
Cohen 1997   59  0.3637  0.0050  0.0458  0.0422  0.2346  0.10
Cortot 1951   83  0.2129  0.0082  0.0477  0.0455  0.0662  0.05
Csalog 1996   61  0.3645  0.0045  0.0745  0.0764  0.0459  0.05
Czerny 1949   63  0.3589  0.0072  0.0379  0.0376  0.0383  0.03
Czerny 1990   53  0.3886  0.0061  0.0466  0.0468  0.0475  0.04
Duchoud 2007   87  0.1647  0.0084  0.0385  0.0384  0.0289  0.02
Ezaki 2006   15  0.5030  0.0023  0.0926  0.3753  0.0632  0.15
Falvay 1989   4  0.557  0.065  0.186  0.6139  0.3211  0.44
Farrell 1958   84  0.2170  0.0085  0.0287  0.0286  0.0287  0.02
Ferenczy 1958   27  0.468  0.0522  0.1023  0.3822  0.4912  0.43
Fliere 1977   8  0.549  0.0511  0.197  0.6138  0.2414  0.38
Fou 1978   18  0.4854  0.0029  0.0731  0.2658  0.0541  0.11
Francois 1956   74  0.3156  0.0079  0.0549  0.0568  0.0478  0.04
Friedman 1923   64  0.3541  0.0046  0.0646  0.0622  0.4131  0.16
Friedman 1923b   65  0.3532  0.0039  0.0535  0.2119  0.4519  0.31
Friedman 1930   66  0.3542  0.0031  0.0928  0.3117  0.4615  0.38
Garcia 2007   82  0.2190  0.0083  0.0475  0.0473  0.0471  0.04
Garcia 2007b   71  0.3362  0.0056  0.0554  0.0568  0.0563  0.05
Gierzod 1998   5  0.5510  0.0210  0.169  0.6041  0.2017  0.35
Gornostaeva 1994   13  0.5026  0.0020  0.1221  0.4535  0.2518  0.34
Groot 1988   47  0.3925  0.0037  0.0536  0.2056  0.0547  0.10
Harasiewicz 1955   30  0.4457  0.0052  0.0470  0.0483  0.0385  0.03
Hatto 1993   25  0.4751  0.0016  0.1220  0.4644  0.1225  0.23
Hatto 1997   20  0.4887  0.0015  0.1016  0.4941  0.1221  0.24
Horowitz 1949   32  0.445  0.089  0.1513  0.513  0.636  0.57
Indjic 1988   19  0.4812  0.0214  0.1517  0.4943  0.1520  0.27
Kapell 1951   51  0.3876  0.0066  0.0468  0.0474  0.0381  0.03
Kissin 1993   42  0.4233  0.0060  0.0551  0.0569  0.0467  0.04
Kushner 1989   23  0.4774  0.0025  0.0922  0.3967  0.0438  0.12
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   49  0.3958  0.0055  0.0550  0.0569  0.0473  0.04
Malcuzynski 1961   72  0.3377  0.0076  0.0380  0.0384  0.0288  0.02
Magaloff 1978   33  0.4428  0.0038  0.0634  0.2254  0.0640  0.11
Magin 1975   16  0.4920  0.0128  0.0729  0.3052  0.0537  0.12
Michalowski 1933   79  0.2822  0.0180  0.0463  0.0418  0.4035  0.13
Milkina 1970   3  0.563  0.082  0.152  0.6938  0.2413  0.41
Mohovich 1999   2  0.5614  0.016  0.154  0.6529  0.379  0.49
Moravec 1969   26  0.4678  0.0032  0.0633  0.2455  0.0636  0.12
Morozova 2008   54  0.3734  0.0058  0.0465  0.0471  0.0469  0.04
Neighaus 1950   76  0.3079  0.0077  0.0378  0.0364  0.0484  0.03
Niedzielski 1931   62  0.3536  0.0049  0.0552  0.0518  0.3833  0.14
Ohlsson 1999   39  0.4217  0.0124  0.0925  0.3730  0.3316  0.35
Osinska 1989   24  0.4746  0.0026  0.1124  0.3848  0.0730  0.16
Pachmann 1927   81  0.2282  0.0086  0.0383  0.0376  0.0382  0.03
Paderewski 1930   85  0.1950  0.0069  0.0464  0.0441  0.1350  0.07
Perlemuter 1992   52  0.3868  0.0048  0.0459  0.0429  0.3039  0.11
Pierdomenico 2008   86  0.1880  0.0087  0.0286  0.0287  0.0286  0.02
Poblocka 1999   14  0.5018  0.0127  0.0927  0.3145  0.1128  0.18
Rabcewiczowa 1932   77  0.3044  0.0065  0.0471  0.0481  0.0380  0.03
Rachmaninoff 1923   40  0.4213  0.0136  0.0639  0.1935  0.2326  0.21
Rangell 2001   69  0.3359  0.0078  0.0474  0.0468  0.0576  0.04
Richter 1976   46  0.4069  0.0059  0.0461  0.0457  0.0466  0.04
Rosen 1989   21  0.4735  0.0019  0.1514  0.5020  0.4310  0.46
Rosenthal 1930   56  0.3738  0.0073  0.0381  0.0344  0.1060  0.05
Rosenthal 1931   67  0.3521  0.0174  0.0382  0.0345  0.0758  0.05
Rosenthal 1931b   75  0.3040  0.0075  0.0384  0.0346  0.0677  0.04
Rosenthal 1931c   41  0.4263  0.0040  0.0538  0.1927  0.3022  0.24
Rosenthal 1931d   50  0.3967  0.0062  0.0647  0.0629  0.3134  0.14
Rossi 2007   80  0.2775  0.0081  0.0467  0.0472  0.0464  0.04
Rubinstein 1939   55  0.3755  0.0068  0.0469  0.0468  0.0465  0.04
Rubinstein 1952   35  0.4324  0.0043  0.0642  0.1476  0.0354  0.06
Rubinstein 1966   45  0.4183  0.0054  0.0462  0.0474  0.0468  0.04
Schilhawsky 1960   28  0.4560  0.0035  0.0543  0.1459  0.0451  0.07
Shebanova 2002   44  0.4123  0.0134  0.0540  0.1862  0.0449  0.08
Smith 1975   12  0.5115  0.0113  0.1211  0.5515  0.518  0.53
Sokolov 2002   22  0.4765  0.0018  0.1412  0.538  0.567  0.54
Sztompka 1959   57  0.3661  0.0070  0.0557  0.0562  0.0557  0.05
Tomsic 1995   68  0.3472  0.0047  0.0548  0.0545  0.0852  0.06
Uninsky 1932   60  0.3652  0.0064  0.0472  0.0451  0.0570  0.04
Uninsky 1971   29  0.4553  0.0033  0.0632  0.2556  0.0542  0.11
Wasowski 1980   7  0.546  0.074  0.125  0.629  0.555  0.58
Zak 1937   43  0.4239  0.0057  0.0556  0.0554  0.0556  0.05
Zak 1951   34  0.4373  0.0042  0.0641  0.1850  0.0548  0.09
Random 1   89  0.0081  0.0089  0.0289  0.0244  0.1161  0.05
Random 2   88  0.0364  0.0088  0.0288  0.0233  0.1853  0.06
Random 3   90  -0.1548  0.0090  0.0190  0.0180  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).