Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   80  0.0413  0.0282  0.0282  0.0288  0.0284  0.02
Anderszewski 2003   4  0.4017  0.015  0.158  0.3933  0.196  0.27
Ashkenazy 1981   13  0.3332  0.0028  0.0617  0.2479  0.0328  0.08
Bacha 2000   47  0.1811  0.0221  0.0637  0.1060  0.0436  0.06
Badura 1965   79  0.0572  0.0087  0.0187  0.0189  0.0189  0.01
Barbosa 1983   78  0.0749  0.0081  0.0284  0.0287  0.0280  0.02
Biret 1990   10  0.3518  0.0115  0.0611  0.2781  0.0233  0.07
Blet 2003   61  0.1622  0.0162  0.0369  0.0383  0.0366  0.03
Block 1995   53  0.1823  0.0117  0.0522  0.2246  0.0521  0.10
Blumental 1952   15  0.314  0.066  0.136  0.4122  0.225  0.30
Boshniakovich 1969   11  0.3543  0.0027  0.0623  0.2175  0.0327  0.08
Brailowsky 1960   6  0.3812  0.027  0.097  0.4048  0.0514  0.14
Bunin 1987   24  0.2769  0.0045  0.0457  0.0477  0.0372  0.03
Bunin 1987b   23  0.2853  0.0046  0.0645  0.0678  0.0348  0.04
Chiu 1999   17  0.3156  0.0055  0.0548  0.0579  0.0345  0.04
Cohen 1997   55  0.1731  0.0063  0.0371  0.0364  0.0371  0.03
Cortot 1951   41  0.2127  0.0033  0.0444  0.0851  0.0634  0.07
Csalog 1996   89  -0.1562  0.0090  0.0190  0.0186  0.0288  0.01
Czerny 1949   69  0.1279  0.0061  0.0373  0.0382  0.0282  0.02
Czerny 1990   63  0.1580  0.0056  0.0451  0.0480  0.0373  0.03
Duchoud 2007   40  0.2281  0.0048  0.0454  0.0481  0.0268  0.03
Ezaki 2006   37  0.2436  0.0050  0.0458  0.0487  0.0255  0.03
Falvay 1989   75  0.0844  0.0079  0.0379  0.0365  0.0460  0.03
Farrell 1958   7  0.381  0.271  0.272  0.607  0.332  0.44
Ferenczy 1958   60  0.1673  0.0059  0.0455  0.0458  0.0451  0.04
Fliere 1977   34  0.2570  0.0049  0.0646  0.0670  0.0442  0.05
Fou 1978   48  0.1883  0.0071  0.0374  0.0381  0.0361  0.03
Francois 1956   86  -0.0190  0.0083  0.0380  0.0388  0.0286  0.02
Friedman 1923   31  0.2619  0.0131  0.0616  0.2433  0.237  0.23
Friedman 1923b   32  0.267  0.0230  0.0419  0.2231  0.228  0.22
Friedman 1930   19  0.2940  0.0025  0.0518  0.2470  0.0420  0.10
Garcia 2007   1  0.532  0.232  0.311  0.621  0.681  0.65
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   28  0.2757  0.0041  0.0543  0.0987  0.0253  0.04
Gornostaeva 1994   30  0.2616  0.0124  0.0525  0.1986  0.0241  0.06
Groot 1988   74  0.0933  0.0075  0.0366  0.0385  0.0374  0.03
Harasiewicz 1955   14  0.3239  0.0040  0.0627  0.1683  0.0335  0.07
Hatto 1993   18  0.3086  0.0026  0.0514  0.2530  0.189  0.21
Hatto 1997   26  0.2771  0.0039  0.0632  0.1468  0.0340  0.06
Horowitz 1949   62  0.1548  0.0073  0.0461  0.0468  0.0364  0.03
Indjic 1988   25  0.2754  0.0038  0.0529  0.1553  0.0426  0.08
Kapell 1951   59  0.1684  0.0058  0.0550  0.0572  0.0347  0.04
Kissin 1993   82  0.0385  0.0089  0.0189  0.0181  0.0287  0.01
Kushner 1989   33  0.2567  0.0013  0.0824  0.2084  0.0237  0.06
Luisada 1991   2  0.475  0.054  0.205  0.4327  0.264  0.33
Lushtak 2004   21  0.2850  0.0054  0.0453  0.0479  0.0369  0.03
Malcuzynski 1961   43  0.2175  0.0051  0.0547  0.0585  0.0349  0.04
Magaloff 1978   54  0.1725  0.0042  0.0441  0.0985  0.0246  0.04
Magin 1975   16  0.3163  0.0012  0.1013  0.2638  0.1411  0.19
Michalowski 1933   3  0.433  0.063  0.173  0.5529  0.303  0.41
Milkina 1970   77  0.0860  0.0078  0.0364  0.0381  0.0362  0.03
Mohovich 1999   52  0.1841  0.0074  0.0452  0.0476  0.0370  0.03
Moravec 1969   88  -0.0530  0.0068  0.0378  0.0387  0.0276  0.02
Morozova 2008   5  0.3968  0.008  0.0710  0.2968  0.0417  0.11
Neighaus 1950   9  0.3661  0.0016  0.0512  0.2776  0.0324  0.09
Niedzielski 1931   84  0.0247  0.0069  0.0362  0.0341  0.1043  0.05
Ohlsson 1999   22  0.2874  0.0043  0.0440  0.0988  0.0250  0.04
Osinska 1989   67  0.1387  0.0067  0.0372  0.0387  0.0277  0.02
Pachmann 1927   83  0.0228  0.0080  0.0281  0.0284  0.0379  0.02
Paderewski 1930   71  0.1014  0.0129  0.0436  0.1164  0.0339  0.06
Perlemuter 1992   56  0.1737  0.0020  0.0631  0.1576  0.0329  0.07
Pierdomenico 2008   12  0.338  0.0210  0.0815  0.2560  0.0418  0.10
Poblocka 1999   57  0.1758  0.0064  0.0377  0.0377  0.0357  0.03
Rabcewiczowa 1932   29  0.2755  0.0037  0.0528  0.1661  0.0425  0.08
Rachmaninoff 1923   50  0.1877  0.0052  0.0460  0.0473  0.0359  0.03
Rangell 2001   45  0.2142  0.0034  0.0438  0.1082  0.0254  0.04
Richter 1976   85  0.0059  0.0085  0.0283  0.0277  0.0378  0.02
Rosen 1989   20  0.2988  0.0035  0.0630  0.1571  0.0332  0.07
Rosenthal 1930   76  0.0865  0.0065  0.0368  0.0383  0.0285  0.02
Rosenthal 1931   39  0.2289  0.0036  0.0620  0.2254  0.0519  0.10
Rosenthal 1931b   27  0.2721  0.0114  0.079  0.3540  0.1110  0.20
Rosenthal 1931c   73  0.0929  0.0057  0.0456  0.0485  0.0275  0.03
Rosenthal 1931d   44  0.2164  0.0022  0.0526  0.1754  0.0523  0.09
Rossi 2007   36  0.2410  0.0211  0.0621  0.2231  0.1412  0.18
Rubinstein 1939   51  0.1826  0.0060  0.0363  0.0333  0.2522  0.09
Rubinstein 1952   87  -0.0351  0.0088  0.0188  0.0187  0.0290  0.01
Rubinstein 1966   81  0.0482  0.0086  0.0285  0.0278  0.0381  0.02
Schilhawsky 1960   49  0.189  0.0223  0.0639  0.1072  0.0344  0.05
Shebanova 2002   64  0.1538  0.0077  0.0370  0.0382  0.0367  0.03
Smith 1975   8  0.3634  0.009  0.094  0.4481  0.0316  0.11
Sokolov 2002   42  0.2178  0.0047  0.0459  0.0482  0.0258  0.03
Sztompka 1959   35  0.2415  0.0132  0.0633  0.1271  0.0431  0.07
Tomsic 1995   58  0.176  0.0276  0.0365  0.0373  0.0363  0.03
Uninsky 1932   38  0.2245  0.0053  0.0549  0.0571  0.0452  0.04
Uninsky 1971   68  0.1352  0.0066  0.0376  0.0378  0.0365  0.03
Wasowski 1980   66  0.1376  0.0072  0.0367  0.0383  0.0356  0.03
Zak 1937   70  0.1235  0.0018  0.0534  0.1271  0.0430  0.07
Zak 1951   72  0.1024  0.0119  0.0735  0.1174  0.0338  0.06
Random 1   65  0.1420  0.0170  0.0375  0.033  0.5115  0.12
Random 2   90  -0.2466  0.0084  0.0286  0.0268  0.0283  0.02
Random 3   46  0.2046  0.0044  0.0542  0.0918  0.3313  0.17

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).