Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.1378  0.0045  0.0455  0.0474  0.0367  0.03
Anderszewski 2003   31  0.2532  0.0038  0.0929  0.2678  0.0334  0.09
Ashkenazy 1981   4  0.3912  0.016  0.164  0.5972  0.0412  0.15
Bacha 2000   41  0.2244  0.0034  0.0639  0.1674  0.0339  0.07
Badura 1965   80  0.0962  0.0078  0.0282  0.0287  0.0283  0.02
Barbosa 1983   48  0.2172  0.0033  0.0640  0.1459  0.0440  0.07
Biret 1990   14  0.3234  0.0026  0.0626  0.2669  0.0431  0.10
Blet 2003   20  0.284  0.049  0.1310  0.4468  0.0511  0.15
Block 1995   50  0.2111  0.0114  0.1015  0.4067  0.0321  0.11
Blumental 1952   16  0.308  0.018  0.156  0.5333  0.204  0.33
Boshniakovich 1969   8  0.3310  0.0113  0.1217  0.3979  0.0322  0.11
Brailowsky 1960   40  0.2335  0.0043  0.0543  0.1065  0.0443  0.06
Bunin 1987   21  0.2856  0.0028  0.0914  0.4164  0.0417  0.13
Bunin 1987b   22  0.2822  0.0029  0.1113  0.4164  0.0416  0.13
Chiu 1999   6  0.3463  0.0020  0.0718  0.3983  0.0319  0.11
Cohen 1997   53  0.1926  0.0063  0.0369  0.0374  0.0369  0.03
Cortot 1951   73  0.1273  0.0077  0.0367  0.0381  0.0370  0.03
Csalog 1996   89  0.0287  0.0075  0.0277  0.0284  0.0278  0.02
Czerny 1949   84  0.0784  0.0088  0.0287  0.0288  0.0281  0.02
Czerny 1990   29  0.2582  0.0037  0.0736  0.2266  0.0435  0.09
Duchoud 2007   36  0.2488  0.0041  0.0542  0.1273  0.0441  0.07
Ezaki 2006   56  0.1774  0.0080  0.0283  0.0288  0.0271  0.02
Falvay 1989   57  0.1719  0.0030  0.1031  0.2570  0.0423  0.10
Farrell 1958   26  0.2647  0.0039  0.0832  0.2457  0.0425  0.10
Ferenczy 1958   76  0.1043  0.0074  0.0368  0.0383  0.0280  0.02
Fliere 1977   10  0.3330  0.0017  0.0921  0.3285  0.0237  0.08
Fou 1978   45  0.2179  0.0065  0.0364  0.0369  0.0460  0.03
Francois 1956   85  0.0485  0.0076  0.0372  0.0387  0.0290  0.02
Friedman 1923   34  0.2414  0.0021  0.0725  0.2843  0.1210  0.18
Friedman 1923b   28  0.259  0.0119  0.0822  0.3134  0.168  0.22
Friedman 1930   23  0.2739  0.0035  0.0627  0.2658  0.0428  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   66  0.1457  0.0051  0.0461  0.0481  0.0268  0.03
Gornostaeva 1994   52  0.1989  0.0079  0.0279  0.0286  0.0286  0.02
Groot 1988   24  0.267  0.0210  0.1316  0.4086  0.0236  0.09
Harasiewicz 1955   27  0.2658  0.0056  0.0549  0.0574  0.0356  0.04
Hatto 1993   7  0.3429  0.0011  0.117  0.5131  0.225  0.33
Hatto 1997   25  0.2645  0.0040  0.1034  0.2367  0.0429  0.10
Horowitz 1949   35  0.2421  0.0048  0.0459  0.0473  0.0362  0.03
Indjic 1988   12  0.3224  0.0012  0.135  0.5434  0.186  0.31
Kapell 1951   51  0.2042  0.0042  0.0641  0.1274  0.0344  0.06
Kissin 1993   70  0.1333  0.0084  0.0373  0.0376  0.0364  0.03
Kushner 1989   9  0.3351  0.005  0.168  0.4863  0.0413  0.14
Luisada 1991   1  0.472  0.242  0.391  0.7526  0.333  0.50
Lushtak 2004   37  0.2328  0.0059  0.0645  0.0672  0.0354  0.04
Malcuzynski 1961   30  0.2520  0.0031  0.0637  0.2184  0.0338  0.08
Magaloff 1978   60  0.1740  0.0058  0.0547  0.0583  0.0350  0.04
Magin 1975   17  0.3015  0.0016  0.0923  0.2944  0.119  0.18
Michalowski 1933   3  0.423  0.143  0.373  0.7124  0.362  0.51
Milkina 1970   81  0.0918  0.0064  0.0365  0.0379  0.0361  0.03
Mohovich 1999   68  0.1464  0.0054  0.0454  0.0473  0.0455  0.04
Moravec 1969   87  0.0390  0.0049  0.0460  0.0486  0.0258  0.03
Morozova 2008   11  0.3341  0.007  0.129  0.4680  0.0318  0.12
Neighaus 1950   13  0.3271  0.0027  0.0619  0.3682  0.0332  0.10
Niedzielski 1931   64  0.1455  0.0032  0.0635  0.2360  0.0424  0.10
Ohlsson 1999   43  0.2238  0.0068  0.0375  0.0387  0.0276  0.02
Osinska 1989   74  0.1161  0.0085  0.0286  0.0288  0.0272  0.02
Pachmann 1927   78  0.1052  0.0046  0.0550  0.0583  0.0263  0.03
Paderewski 1930   59  0.1736  0.0018  0.0738  0.2084  0.0245  0.06
Perlemuter 1992   39  0.2367  0.0044  0.0544  0.0987  0.0248  0.04
Pierdomenico 2008   5  0.365  0.034  0.1820  0.3433  0.197  0.25
Poblocka 1999   42  0.2259  0.0047  0.0456  0.0470  0.0449  0.04
Rabcewiczowa 1932   54  0.1966  0.0081  0.0371  0.0385  0.0275  0.02
Rachmaninoff 1923   44  0.2186  0.0053  0.0548  0.0580  0.0351  0.04
Rangell 2001   63  0.1548  0.0062  0.0366  0.0388  0.0287  0.02
Richter 1976   61  0.1617  0.0057  0.0552  0.0576  0.0353  0.04
Rosen 1989   49  0.2180  0.0069  0.0370  0.0388  0.0284  0.02
Rosenthal 1930   77  0.1076  0.0083  0.0374  0.0385  0.0282  0.02
Rosenthal 1931   75  0.1183  0.0070  0.0280  0.0268  0.0377  0.02
Rosenthal 1931b   62  0.1675  0.0060  0.0453  0.0456  0.0457  0.04
Rosenthal 1931c   83  0.0850  0.0072  0.0376  0.0385  0.0288  0.02
Rosenthal 1931d   65  0.1431  0.0061  0.0546  0.0542  0.0942  0.07
Rossi 2007   69  0.1368  0.0082  0.0285  0.0277  0.0274  0.02
Rubinstein 1939   72  0.1377  0.0066  0.0462  0.0457  0.0452  0.04
Rubinstein 1952   86  0.0469  0.0086  0.0288  0.0288  0.0289  0.02
Rubinstein 1966   79  0.0981  0.0073  0.0278  0.0284  0.0379  0.02
Schilhawsky 1960   38  0.2327  0.0052  0.0458  0.0477  0.0366  0.03
Shebanova 2002   15  0.3025  0.0022  0.0712  0.4164  0.0515  0.14
Smith 1975   33  0.2465  0.0055  0.0551  0.0585  0.0259  0.03
Sokolov 2002   58  0.1760  0.0071  0.0281  0.0282  0.0373  0.02
Sztompka 1959   19  0.2916  0.0015  0.1111  0.4256  0.0514  0.14
Tomsic 1995   46  0.216  0.0323  0.0728  0.2684  0.0333  0.09
Uninsky 1932   18  0.2913  0.0036  0.0624  0.2968  0.0420  0.11
Uninsky 1971   67  0.1437  0.0067  0.0463  0.0465  0.0365  0.03
Wasowski 1980   32  0.2553  0.0050  0.0457  0.0472  0.0447  0.04
Zak 1937   47  0.2146  0.0024  0.0830  0.2575  0.0426  0.10
Zak 1951   55  0.1823  0.0025  0.0733  0.2474  0.0427  0.10
Random 1   82  0.0970  0.0087  0.0284  0.023  0.5330  0.10
Random 2   90  -0.0254  0.0089  0.0189  0.0130  0.2146  0.05
Random 3   88  0.0249  0.0090  0.0190  0.0164  0.0385  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).