Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.1378  0.0046  0.0456  0.0475  0.0368  0.03
Anderszewski 2003   32  0.2532  0.0039  0.0930  0.2679  0.0335  0.09
Ashkenazy 1981   4  0.3912  0.016  0.154  0.5973  0.0411  0.15
Bacha 2000   42  0.2244  0.0035  0.0640  0.1675  0.0339  0.07
Badura 1965   81  0.0962  0.0079  0.0283  0.0288  0.0284  0.02
Barbosa 1983   49  0.2173  0.0034  0.0641  0.1460  0.0440  0.07
Biret 1990   15  0.3234  0.0027  0.0627  0.2670  0.0432  0.10
Blet 2003   21  0.284  0.047  0.1211  0.4469  0.0416  0.13
Block 1995   51  0.2111  0.0113  0.1016  0.4068  0.0321  0.11
Blumental 1952   17  0.308  0.019  0.116  0.5334  0.204  0.33
Boshniakovich 1969   8  0.3310  0.0114  0.1018  0.3980  0.0322  0.11
Brailowsky 1960   41  0.2335  0.0044  0.0544  0.1066  0.0442  0.06
Bunin 1987   22  0.2856  0.0029  0.0915  0.4165  0.0417  0.13
Bunin 1987b   23  0.2822  0.0030  0.1114  0.4165  0.0415  0.13
Chiu 1999   6  0.3463  0.0021  0.0719  0.3984  0.0319  0.11
Cohen 1997   54  0.1926  0.0064  0.0370  0.0375  0.0370  0.03
Cortot 1951   74  0.1274  0.0078  0.0368  0.0382  0.0371  0.03
Csalog 1996   90  0.0288  0.0076  0.0278  0.0285  0.0279  0.02
Czerny 1949   85  0.0785  0.0089  0.0288  0.0289  0.0282  0.02
Czerny 1990   30  0.2582  0.0038  0.0737  0.2267  0.0436  0.09
Duchoud 2007   37  0.2489  0.0042  0.0543  0.1274  0.0346  0.06
Ezaki 2006   57  0.1775  0.0081  0.0284  0.0289  0.0272  0.02
Falvay 1989   58  0.1719  0.0031  0.1032  0.2571  0.0423  0.10
Farrell 1958   27  0.2647  0.0040  0.0833  0.2458  0.0425  0.10
Ferenczy 1958   77  0.1043  0.0075  0.0369  0.0384  0.0281  0.02
Fliere 1977   10  0.3330  0.0018  0.0822  0.3286  0.0238  0.08
Fou 1978   46  0.2179  0.0066  0.0365  0.0370  0.0460  0.03
Francois 1956   86  0.0486  0.0077  0.0373  0.0388  0.0291  0.02
Friedman 1923   35  0.2414  0.0022  0.0726  0.2844  0.1210  0.18
Friedman 1923b   29  0.259  0.0120  0.0823  0.3135  0.168  0.22
Friedman 1930   24  0.2739  0.0036  0.0628  0.2659  0.0429  0.10
Garcia 2007   2  0.431  0.391  0.382  0.733  0.741  0.73
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   67  0.1457  0.0052  0.0462  0.0482  0.0269  0.03
Gornostaeva 1994   53  0.1990  0.0080  0.0280  0.0287  0.0287  0.02
Groot 1988   25  0.267  0.028  0.1217  0.4087  0.0237  0.09
Harasiewicz 1955   28  0.2658  0.0057  0.0550  0.0575  0.0356  0.04
Hatto 1993   7  0.3429  0.0011  0.107  0.5132  0.225  0.33
Hatto 1997   26  0.2645  0.0041  0.1035  0.2368  0.0430  0.10
Horowitz 1949   36  0.2421  0.0049  0.0460  0.0474  0.0362  0.03
Indjic 1988   12  0.3224  0.0012  0.125  0.5435  0.186  0.31
Kapell 1951   52  0.2042  0.0043  0.0642  0.1275  0.0343  0.06
Kissin 1993   71  0.1333  0.0085  0.0374  0.0377  0.0365  0.03
Kushner 1989   9  0.3351  0.005  0.169  0.4864  0.0412  0.14
Luisada 1991   1  0.472  0.242  0.391  0.7527  0.333  0.50
Lushtak 2004   38  0.2328  0.0060  0.0646  0.0673  0.0354  0.04
Malcuzynski 1961   31  0.2520  0.0032  0.0638  0.2185  0.0244  0.06
Magaloff 1978   61  0.1740  0.0059  0.0548  0.0584  0.0351  0.04
Magin 1975   18  0.3015  0.0017  0.0924  0.2945  0.119  0.18
Michalowski 1933   3  0.423  0.143  0.373  0.7125  0.362  0.51
Milkina 1970   82  0.0918  0.0065  0.0366  0.0380  0.0361  0.03
Mohovich 1999   69  0.1464  0.0055  0.0455  0.0474  0.0455  0.04
Moravec 1969   88  0.0391  0.0050  0.0461  0.0487  0.0258  0.03
Morozova 2008   11  0.3341  0.0010  0.1110  0.4681  0.0318  0.12
Neighaus 1950   14  0.3272  0.0028  0.0620  0.3683  0.0333  0.10
Niedzielski 1931   65  0.1455  0.0033  0.0636  0.2361  0.0424  0.10
Ohlsson 1999   44  0.2238  0.0069  0.0376  0.0388  0.0277  0.02
Osinska 1989   75  0.1161  0.0086  0.0287  0.0289  0.0273  0.02
Pachmann 1927   79  0.1052  0.0047  0.0551  0.0584  0.0264  0.03
Paderewski 1930   60  0.1736  0.0019  0.0739  0.2085  0.0245  0.06
Perlemuter 1992   40  0.2367  0.0045  0.0545  0.0988  0.0249  0.04
Pierdomenico 2008   5  0.365  0.034  0.1821  0.3434  0.197  0.25
Poblocka 1999   43  0.2259  0.0048  0.0457  0.0471  0.0450  0.04
Rabcewiczowa 1932   55  0.1966  0.0082  0.0372  0.0386  0.0276  0.02
Rachmaninoff 1923   45  0.2187  0.0054  0.0549  0.0581  0.0352  0.04
Rangell 2001   64  0.1548  0.0063  0.0367  0.0389  0.0288  0.02
Richter 1976   62  0.1617  0.0058  0.0453  0.0477  0.0363  0.03
Rosen 1989   50  0.2180  0.0070  0.0371  0.0389  0.0285  0.02
Rosenthal 1930   78  0.1077  0.0084  0.0375  0.0386  0.0283  0.02
Rosenthal 1931   76  0.1183  0.0071  0.0281  0.0269  0.0378  0.02
Rosenthal 1931b   63  0.1676  0.0061  0.0454  0.0457  0.0457  0.04
Rosenthal 1931c   84  0.0850  0.0073  0.0277  0.0286  0.0289  0.02
Rosenthal 1931d   66  0.1431  0.0062  0.0547  0.0543  0.0941  0.07
Rossi 2007   70  0.1368  0.0083  0.0286  0.0278  0.0275  0.02
Rubinstein 1939   73  0.1384  0.0067  0.0463  0.0458  0.0453  0.04
Rubinstein 1952   87  0.0469  0.0087  0.0289  0.0289  0.0290  0.02
Rubinstein 1966   80  0.0981  0.0074  0.0279  0.0285  0.0380  0.02
Schilhawsky 1960   39  0.2327  0.0053  0.0459  0.0478  0.0367  0.03
Shebanova 2002   16  0.3025  0.0023  0.0713  0.4165  0.0514  0.14
Smith 1975   34  0.2465  0.0056  0.0452  0.0486  0.0259  0.03
Sokolov 2002   59  0.1760  0.0072  0.0282  0.0283  0.0274  0.02
Sztompka 1959   20  0.2916  0.0016  0.1012  0.4257  0.0513  0.14
Tomsic 1995   47  0.216  0.0324  0.0729  0.2685  0.0334  0.09
Uninsky 1932   19  0.2913  0.0037  0.0625  0.2969  0.0420  0.11
Uninsky 1971   68  0.1437  0.0068  0.0464  0.0466  0.0366  0.03
Wasowski 1980   33  0.2553  0.0051  0.0458  0.0473  0.0448  0.04
Zak 1937   48  0.2146  0.0025  0.0731  0.2576  0.0426  0.10
Zak 1951   56  0.1823  0.0026  0.0734  0.2475  0.0427  0.10
Average   13  0.3270  0.0015  0.128  0.5188  0.0228  0.10
Random 1   83  0.0971  0.0088  0.0285  0.022  0.5431  0.10
Random 2   91  -0.0254  0.0090  0.0190  0.0130  0.2247  0.05
Random 3   89  0.0249  0.0091  0.0191  0.0151  0.0486  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).