Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.3463  0.0054  0.0461  0.0452  0.0570  0.04
Anderszewski 2003   73  0.2480  0.0063  0.0560  0.0583  0.0368  0.04
Ashkenazy 1981   17  0.4045  0.0033  0.0630  0.2719  0.3710  0.32
Bacha 2000   50  0.3133  0.0039  0.0640  0.1625  0.3213  0.23
Badura 1965   72  0.2454  0.0071  0.0554  0.0568  0.0373  0.04
Barbosa 1983   59  0.3072  0.0065  0.0559  0.0576  0.0367  0.04
Biret 1990   19  0.394  0.073  0.134  0.5651  0.0618  0.18
Blet 2003   35  0.3626  0.0053  0.0557  0.0560  0.0553  0.05
Block 1995   86  0.1471  0.0086  0.0373  0.0385  0.0381  0.03
Blumental 1952   66  0.2873  0.0055  0.0467  0.0480  0.0382  0.03
Boshniakovich 1969   14  0.4034  0.0027  0.0816  0.4083  0.0331  0.11
Brailowsky 1960   78  0.2281  0.0081  0.0375  0.0359  0.0660  0.04
Bunin 1987   60  0.2982  0.0048  0.0745  0.0771  0.0457  0.05
Bunin 1987b   69  0.2678  0.0057  0.0556  0.0568  0.0465  0.04
Chiu 1999   68  0.2628  0.0076  0.0383  0.0381  0.0287  0.02
Cohen 1997   41  0.3442  0.0046  0.0647  0.0632  0.1638  0.10
Cortot 1951   67  0.2774  0.0070  0.0555  0.0547  0.0750  0.06
Csalog 1996   83  0.1937  0.0074  0.0377  0.0382  0.0380  0.03
Czerny 1949   6  0.4314  0.0214  0.0820  0.3860  0.0624  0.15
Czerny 1990   25  0.3920  0.0129  0.0728  0.2870  0.0432  0.11
Duchoud 2007   57  0.3059  0.0058  0.0462  0.0445  0.0755  0.05
Ezaki 2006   63  0.2936  0.0062  0.0471  0.0486  0.0274  0.03
Falvay 1989   76  0.2483  0.0079  0.0376  0.0383  0.0376  0.03
Farrell 1958   18  0.398  0.034  0.125  0.5533  0.326  0.42
Ferenczy 1958   87  0.1257  0.0087  0.0287  0.0283  0.0389  0.02
Fliere 1977   13  0.4124  0.0021  0.0815  0.4258  0.0526  0.14
Fou 1978   23  0.3949  0.0034  0.0542  0.1470  0.0446  0.07
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   38  0.3532  0.0010  0.0911  0.4614  0.514  0.48
Friedman 1923b   48  0.3229  0.0011  0.0919  0.3821  0.437  0.40
Friedman 1930   42  0.3335  0.0028  0.0633  0.2530  0.2811  0.26
Garcia 2007   64  0.2964  0.0059  0.0466  0.0461  0.0571  0.04
Garcia 2007b   20  0.3925  0.0015  0.0810  0.4834  0.289  0.37
Gierzod 1998   7  0.4319  0.0126  0.0729  0.2775  0.0340  0.09
Gornostaeva 1994   11  0.4113  0.0212  0.0713  0.4365  0.0427  0.13
Groot 1988   36  0.3610  0.0223  0.0722  0.3746  0.0723  0.16
Harasiewicz 1955   22  0.3965  0.0032  0.0732  0.2558  0.0534  0.11
Hatto 1993   45  0.3327  0.0037  0.0631  0.2682  0.0342  0.09
Hatto 1997   47  0.3260  0.0040  0.0637  0.2081  0.0344  0.08
Horowitz 1949   80  0.2162  0.0080  0.0384  0.0374  0.0378  0.03
Indjic 1988   44  0.3384  0.0038  0.0635  0.2363  0.0436  0.10
Kapell 1951   43  0.3355  0.0060  0.0648  0.0680  0.0364  0.04
Kissin 1993   49  0.3266  0.0066  0.0558  0.0562  0.0551  0.05
Kushner 1989   12  0.4185  0.0018  0.099  0.4949  0.0714  0.19
Luisada 1991   51  0.3146  0.0069  0.0468  0.0449  0.0558  0.04
Lushtak 2004   10  0.4217  0.019  0.108  0.5254  0.0522  0.16
Malcuzynski 1961   24  0.3923  0.0125  0.0923  0.3548  0.0819  0.17
Magaloff 1978   33  0.3658  0.0035  0.0536  0.2160  0.0439  0.09
Magin 1975   3  0.443  0.097  0.1012  0.4642  0.1312  0.24
Michalowski 1933   61  0.2911  0.0250  0.0551  0.059  0.5221  0.16
Milkina 1970   1  0.491  0.251  0.241  0.6354  0.0615  0.19
Mohovich 1999   39  0.3569  0.0052  0.0649  0.0658  0.0456  0.05
Moravec 1969   82  0.2047  0.0084  0.0379  0.0385  0.0286  0.02
Morozova 2008   54  0.3144  0.0051  0.0650  0.0669  0.0454  0.05
Neighaus 1950   2  0.445  0.066  0.113  0.567  0.552  0.55
Niedzielski 1931   75  0.2448  0.0072  0.0472  0.0466  0.0563  0.04
Ohlsson 1999   26  0.3930  0.0031  0.0726  0.2968  0.0429  0.11
Osinska 1989   16  0.4039  0.0044  0.0744  0.1373  0.0445  0.07
Pachmann 1927   71  0.2453  0.0075  0.0374  0.0350  0.0666  0.04
Paderewski 1930   37  0.359  0.0216  0.0717  0.406  0.583  0.48
Perlemuter 1992   4  0.442  0.162  0.212  0.581  0.601  0.59
Pierdomenico 2008   27  0.3816  0.0117  0.0721  0.3716  0.515  0.43
Poblocka 1999   74  0.2479  0.0082  0.0380  0.0381  0.0375  0.03
Rabcewiczowa 1932   62  0.2922  0.0120  0.0927  0.2963  0.0428  0.11
Rachmaninoff 1923   55  0.3018  0.0142  0.0643  0.1375  0.0348  0.06
Rangell 2001   32  0.3640  0.0043  0.0741  0.1647  0.0733  0.11
Richter 1976   53  0.3175  0.0061  0.0465  0.0475  0.0379  0.03
Rosen 1989   30  0.377  0.0424  0.0838  0.1973  0.0441  0.09
Rosenthal 1930   58  0.3041  0.0067  0.0470  0.0458  0.0472  0.04
Rosenthal 1931   85  0.1586  0.0085  0.0286  0.0286  0.0288  0.02
Rosenthal 1931b   81  0.2156  0.0073  0.0382  0.0362  0.0484  0.03
Rosenthal 1931c   84  0.1987  0.0083  0.0385  0.0374  0.0485  0.03
Rosenthal 1931d   79  0.2267  0.0078  0.0381  0.0376  0.0383  0.03
Rossi 2007   46  0.3321  0.0149  0.0553  0.0540  0.1243  0.08
Rubinstein 1939   52  0.3176  0.0047  0.0552  0.0557  0.0462  0.04
Rubinstein 1952   9  0.4231  0.008  0.097  0.5368  0.0425  0.15
Rubinstein 1966   5  0.446  0.045  0.156  0.5353  0.0617  0.18
Schilhawsky 1960   8  0.4215  0.0113  0.0824  0.3166  0.0430  0.11
Shebanova 2002   31  0.3770  0.0041  0.0739  0.1960  0.0537  0.10
Smith 1975   65  0.2951  0.0064  0.0463  0.0473  0.0461  0.04
Sokolov 2002   21  0.3912  0.0219  0.0814  0.4330  0.348  0.38
Sztompka 1959   15  0.4050  0.0030  0.0625  0.3042  0.1116  0.18
Tomsic 1995   77  0.2388  0.0077  0.0378  0.0375  0.0477  0.03
Uninsky 1932   70  0.2668  0.0056  0.0469  0.0469  0.0469  0.04
Uninsky 1971   29  0.3743  0.0045  0.0646  0.0662  0.0552  0.05
Wasowski 1980   56  0.3089  0.0068  0.0464  0.0462  0.0559  0.04
Zak 1937   34  0.3652  0.0036  0.0534  0.2360  0.0435  0.10
Zak 1951   28  0.3838  0.0022  0.0918  0.3844  0.0720  0.16
Random 1   90  -0.0690  0.0090  0.0190  0.0169  0.0290  0.01
Random 2   88  0.0461  0.0089  0.0288  0.0230  0.2247  0.07
Random 3   89  -0.0477  0.0088  0.0289  0.0231  0.1849  0.06

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).