Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   81  0.0413  0.0283  0.0283  0.0289  0.0284  0.02
Anderszewski 2003   4  0.4017  0.015  0.158  0.3934  0.196  0.27
Ashkenazy 1981   13  0.3337  0.0028  0.0617  0.2480  0.0328  0.08
Bacha 2000   48  0.1811  0.0221  0.0638  0.1061  0.0436  0.06
Badura 1965   80  0.0573  0.0088  0.0188  0.0190  0.0190  0.01
Barbosa 1983   79  0.0750  0.0082  0.0285  0.0288  0.0188  0.01
Biret 1990   10  0.3518  0.0115  0.0611  0.2782  0.0233  0.07
Blet 2003   62  0.1622  0.0163  0.0370  0.0384  0.0366  0.03
Block 1995   54  0.1823  0.0117  0.0522  0.2247  0.0518  0.10
Blumental 1952   15  0.314  0.066  0.136  0.4123  0.225  0.30
Boshniakovich 1969   11  0.3544  0.0027  0.0623  0.2176  0.0327  0.08
Brailowsky 1960   6  0.3812  0.027  0.097  0.4049  0.0514  0.14
Bunin 1987   24  0.2770  0.0046  0.0458  0.0478  0.0372  0.03
Bunin 1987b   23  0.2854  0.0047  0.0646  0.0679  0.0348  0.04
Chiu 1999   17  0.3157  0.0056  0.0549  0.0580  0.0346  0.04
Cohen 1997   56  0.1731  0.0064  0.0372  0.0365  0.0371  0.03
Cortot 1951   42  0.2127  0.0033  0.0445  0.0852  0.0634  0.07
Csalog 1996   90  -0.1562  0.0091  0.0191  0.0187  0.0289  0.01
Czerny 1949   70  0.1280  0.0062  0.0374  0.0383  0.0282  0.02
Czerny 1990   64  0.1581  0.0057  0.0452  0.0481  0.0373  0.03
Duchoud 2007   41  0.2282  0.0049  0.0455  0.0482  0.0268  0.03
Ezaki 2006   38  0.2435  0.0051  0.0459  0.0488  0.0255  0.03
Falvay 1989   76  0.0845  0.0080  0.0380  0.0366  0.0460  0.03
Farrell 1958   7  0.381  0.271  0.272  0.608  0.332  0.44
Ferenczy 1958   61  0.1674  0.0060  0.0456  0.0459  0.0451  0.04
Fliere 1977   35  0.2571  0.0050  0.0647  0.0671  0.0443  0.05
Fou 1978   49  0.1884  0.0072  0.0375  0.0382  0.0278  0.02
Francois 1956   87  -0.0191  0.0084  0.0381  0.0389  0.0286  0.02
Friedman 1923   32  0.2619  0.0131  0.0616  0.2433  0.237  0.23
Friedman 1923b   33  0.267  0.0230  0.0419  0.2232  0.228  0.22
Friedman 1930   19  0.2941  0.0025  0.0518  0.2471  0.0417  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   29  0.2758  0.0042  0.0544  0.0988  0.0253  0.04
Gornostaeva 1994   31  0.2616  0.0124  0.0525  0.1987  0.0242  0.06
Groot 1988   75  0.0933  0.0076  0.0367  0.0386  0.0374  0.03
Harasiewicz 1955   14  0.3240  0.0040  0.0427  0.1684  0.0335  0.07
Hatto 1993   18  0.3087  0.0026  0.0514  0.2531  0.189  0.21
Hatto 1997   27  0.2772  0.0039  0.0532  0.1469  0.0341  0.06
Horowitz 1949   63  0.1548  0.0074  0.0362  0.0369  0.0364  0.03
Indjic 1988   26  0.2755  0.0038  0.0529  0.1554  0.0426  0.08
Kapell 1951   60  0.1685  0.0059  0.0451  0.0473  0.0361  0.03
Kissin 1993   83  0.0386  0.0090  0.0190  0.0182  0.0287  0.01
Kushner 1989   34  0.2567  0.0013  0.0824  0.2085  0.0237  0.06
Luisada 1991   2  0.475  0.054  0.205  0.4328  0.264  0.33
Lushtak 2004   21  0.2851  0.0055  0.0454  0.0480  0.0369  0.03
Malcuzynski 1961   44  0.2175  0.0052  0.0548  0.0586  0.0349  0.04
Magaloff 1978   55  0.1726  0.0043  0.0442  0.0986  0.0247  0.04
Magin 1975   16  0.3164  0.0012  0.1013  0.2639  0.1411  0.19
Michalowski 1933   3  0.433  0.063  0.173  0.5530  0.303  0.41
Milkina 1970   78  0.0861  0.0079  0.0365  0.0382  0.0362  0.03
Mohovich 1999   53  0.1842  0.0075  0.0453  0.0477  0.0370  0.03
Moravec 1969   89  -0.0530  0.0069  0.0379  0.0388  0.0276  0.02
Morozova 2008   5  0.3968  0.008  0.0710  0.2969  0.0322  0.09
Neighaus 1950   9  0.3669  0.0016  0.0512  0.2777  0.0324  0.09
Niedzielski 1931   85  0.0249  0.0070  0.0363  0.0342  0.1044  0.05
Ohlsson 1999   22  0.2877  0.0044  0.0441  0.0989  0.0250  0.04
Osinska 1989   68  0.1388  0.0068  0.0373  0.0388  0.0277  0.02
Pachmann 1927   84  0.0228  0.0081  0.0282  0.0285  0.0380  0.02
Paderewski 1930   72  0.1014  0.0129  0.0437  0.1165  0.0339  0.06
Perlemuter 1992   57  0.1736  0.0020  0.0631  0.1577  0.0329  0.07
Pierdomenico 2008   12  0.338  0.0210  0.0815  0.2561  0.0416  0.10
Poblocka 1999   58  0.1759  0.0065  0.0378  0.0378  0.0357  0.03
Rabcewiczowa 1932   30  0.2756  0.0037  0.0528  0.1662  0.0425  0.08
Rachmaninoff 1923   51  0.1878  0.0053  0.0461  0.0474  0.0359  0.03
Rangell 2001   46  0.2143  0.0034  0.0439  0.1083  0.0254  0.04
Richter 1976   86  0.0060  0.0086  0.0284  0.0278  0.0379  0.02
Rosen 1989   20  0.2989  0.0035  0.0630  0.1572  0.0332  0.07
Rosenthal 1930   77  0.0865  0.0066  0.0369  0.0384  0.0285  0.02
Rosenthal 1931   40  0.2290  0.0036  0.0620  0.2255  0.0421  0.09
Rosenthal 1931b   28  0.2721  0.0114  0.079  0.3541  0.1110  0.20
Rosenthal 1931c   74  0.0929  0.0058  0.0457  0.0486  0.0275  0.03
Rosenthal 1931d   45  0.2163  0.0022  0.0526  0.1755  0.0523  0.09
Rossi 2007   37  0.2410  0.0211  0.0621  0.2232  0.1412  0.18
Rubinstein 1939   52  0.1825  0.0061  0.0364  0.0333  0.2520  0.09
Rubinstein 1952   88  -0.0352  0.0089  0.0189  0.0188  0.0291  0.01
Rubinstein 1966   82  0.0483  0.0087  0.0286  0.0279  0.0381  0.02
Schilhawsky 1960   50  0.189  0.0223  0.0640  0.1073  0.0345  0.05
Shebanova 2002   65  0.1538  0.0078  0.0371  0.0383  0.0367  0.03
Smith 1975   8  0.3632  0.009  0.094  0.4482  0.0219  0.09
Sokolov 2002   43  0.2179  0.0048  0.0460  0.0483  0.0258  0.03
Sztompka 1959   36  0.2415  0.0132  0.0634  0.1272  0.0431  0.07
Tomsic 1995   59  0.176  0.0277  0.0366  0.0374  0.0363  0.03
Uninsky 1932   39  0.2246  0.0054  0.0550  0.0572  0.0452  0.04
Uninsky 1971   69  0.1353  0.0067  0.0377  0.0379  0.0365  0.03
Wasowski 1980   67  0.1376  0.0073  0.0368  0.0384  0.0356  0.03
Zak 1937   71  0.1234  0.0018  0.0535  0.1272  0.0430  0.07
Zak 1951   73  0.1024  0.0119  0.0736  0.1175  0.0338  0.06
Average   25  0.2739  0.0041  0.0633  0.1387  0.0340  0.06
Random 1   66  0.1420  0.0171  0.0376  0.034  0.5115  0.12
Random 2   91  -0.2466  0.0085  0.0287  0.0269  0.0283  0.02
Random 3   47  0.2047  0.0045  0.0443  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).