Friedman 1930

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.3618  0.0015  0.0813  0.4812  0.487  0.48
Anderszewski 2003   48  0.3156  0.0053  0.0650  0.0673  0.0366  0.04
Ashkenazy 1981   39  0.3313  0.0128  0.0723  0.3715  0.439  0.40
Bacha 2000   85  0.1582  0.0085  0.0385  0.0368  0.0369  0.03
Badura 1965   40  0.3314  0.0143  0.0640  0.1748  0.0740  0.11
Barbosa 1983   46  0.3246  0.0042  0.0841  0.1759  0.0739  0.11
Biret 1990   7  0.4328  0.006  0.147  0.5853  0.0520  0.17
Blet 2003   63  0.2665  0.0065  0.0462  0.0480  0.0379  0.03
Block 1995   75  0.2489  0.0064  0.0558  0.0569  0.0467  0.04
Blumental 1952   32  0.3538  0.0024  0.0822  0.3858  0.0624  0.15
Boshniakovich 1969   21  0.3866  0.0038  0.0832  0.2578  0.0344  0.09
Brailowsky 1960   45  0.3215  0.0134  0.0639  0.2049  0.0734  0.12
Bunin 1987   55  0.2921  0.0031  0.0735  0.2345  0.0732  0.13
Bunin 1987b   72  0.2583  0.0044  0.0744  0.1458  0.0547  0.08
Chiu 1999   19  0.387  0.0221  0.0731  0.2661  0.0538  0.11
Cohen 1997   73  0.2557  0.0052  0.0749  0.0744  0.0848  0.07
Cortot 1951   87  0.0084  0.0088  0.0288  0.0290  0.0190  0.01
Csalog 1996   51  0.3117  0.0054  0.0655  0.0669  0.0455  0.05
Czerny 1949   64  0.2661  0.0074  0.0384  0.0382  0.0286  0.02
Czerny 1990   10  0.4247  0.0018  0.0821  0.4256  0.0525  0.14
Duchoud 2007   61  0.2724  0.0057  0.0561  0.0544  0.1543  0.09
Ezaki 2006   66  0.2673  0.0066  0.0375  0.0380  0.0368  0.03
Falvay 1989   6  0.4352  0.007  0.158  0.5750  0.0518  0.17
Farrell 1958   67  0.2685  0.0077  0.0472  0.0458  0.0563  0.04
Ferenczy 1958   44  0.3222  0.0050  0.0651  0.0647  0.0751  0.06
Fliere 1977   30  0.3674  0.0047  0.0657  0.0672  0.0553  0.05
Fou 1978   56  0.2827  0.0070  0.0469  0.0483  0.0373  0.03
Francois 1956   38  0.3334  0.0020  0.0630  0.2833  0.2516  0.26
Friedman 1923   2  0.622  0.182  0.701  0.852  0.841  0.84
Friedman 1923b   1  0.631  0.581  0.572  0.822  0.832  0.82
Friedman 1930   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007   54  0.2958  0.0069  0.0377  0.0362  0.0482  0.03
Garcia 2007b   25  0.3719  0.0040  0.0643  0.1563  0.0546  0.09
Gierzod 1998   8  0.4331  0.0010  0.1111  0.5257  0.0522  0.16
Gornostaeva 1994   18  0.3848  0.0033  0.0629  0.3047  0.0633  0.13
Groot 1988   29  0.3639  0.0023  0.0616  0.4676  0.0426  0.14
Harasiewicz 1955   16  0.3942  0.0037  0.0734  0.2475  0.0442  0.10
Hatto 1993   14  0.4075  0.0011  0.1110  0.5252  0.0523  0.16
Hatto 1997   22  0.3820  0.0025  0.0719  0.4379  0.0430  0.13
Horowitz 1949   47  0.3162  0.0041  0.0637  0.2010  0.5012  0.32
Indjic 1988   24  0.3729  0.0022  0.0618  0.4475  0.0429  0.13
Kapell 1951   82  0.2063  0.0083  0.0471  0.0483  0.0274  0.03
Kissin 1993   80  0.2186  0.0081  0.0381  0.0376  0.0477  0.03
Kushner 1989   26  0.3711  0.0135  0.0628  0.3064  0.0536  0.12
Luisada 1991   34  0.3544  0.0026  0.0817  0.4628  0.3110  0.38
Lushtak 2004   31  0.3667  0.0045  0.0845  0.0868  0.0452  0.06
Malcuzynski 1961   60  0.2750  0.0071  0.0380  0.0381  0.0284  0.02
Magaloff 1978   59  0.2779  0.0059  0.0654  0.0674  0.0361  0.04
Magin 1975   9  0.425  0.038  0.146  0.5940  0.1515  0.30
Michalowski 1933   79  0.2137  0.0078  0.0378  0.0336  0.1450  0.06
Milkina 1970   15  0.399  0.0113  0.1212  0.4958  0.0619  0.17
Mohovich 1999   35  0.3530  0.0036  0.0733  0.2470  0.0441  0.10
Moravec 1969   62  0.2769  0.0067  0.0470  0.0475  0.0370  0.03
Morozova 2008   76  0.2480  0.0075  0.0379  0.0378  0.0380  0.03
Neighaus 1950   33  0.3516  0.0030  0.0742  0.1529  0.2617  0.20
Niedzielski 1931   53  0.298  0.0114  0.0726  0.3216  0.4011  0.36
Ohlsson 1999   20  0.3849  0.0029  0.0827  0.3149  0.0537  0.12
Osinska 1989   13  0.4051  0.0019  0.0724  0.3665  0.0528  0.13
Pachmann 1927   81  0.2135  0.0084  0.0474  0.0465  0.0376  0.03
Paderewski 1930   83  0.1943  0.0061  0.0463  0.0466  0.0464  0.04
Perlemuter 1992   23  0.3732  0.0016  0.0814  0.487  0.506  0.49
Pierdomenico 2008   58  0.2725  0.0060  0.0465  0.0457  0.0562  0.04
Poblocka 1999   57  0.2771  0.0056  0.0560  0.0579  0.0359  0.04
Rabcewiczowa 1932   37  0.3433  0.0027  0.0825  0.3565  0.0435  0.12
Rachmaninoff 1923   41  0.3240  0.0032  0.0636  0.2241  0.1221  0.16
Rangell 2001   69  0.2670  0.0076  0.0382  0.0349  0.0758  0.05
Richter 1976   68  0.2623  0.0073  0.0473  0.0469  0.0375  0.03
Rosen 1989   11  0.4259  0.0012  0.1115  0.4742  0.2014  0.31
Rosenthal 1930   43  0.3276  0.0055  0.0746  0.0736  0.2331  0.13
Rosenthal 1931   71  0.2572  0.0063  0.0559  0.0563  0.0465  0.04
Rosenthal 1931b   42  0.3226  0.0051  0.0748  0.0728  0.3027  0.14
Rosenthal 1931c   50  0.3168  0.0046  0.0656  0.0650  0.0849  0.07
Rosenthal 1931d   65  0.2653  0.0068  0.0383  0.0365  0.0483  0.03
Rossi 2007   78  0.2264  0.0079  0.0468  0.0455  0.0560  0.04
Rubinstein 1939   74  0.2587  0.0072  0.0376  0.0358  0.0472  0.03
Rubinstein 1952   36  0.3554  0.0039  0.0638  0.2070  0.0445  0.09
Rubinstein 1966   27  0.3736  0.0048  0.0652  0.0664  0.0556  0.05
Schilhawsky 1960   52  0.3077  0.0058  0.0747  0.0786  0.0357  0.05
Shebanova 2002   5  0.4710  0.015  0.395  0.6812  0.515  0.59
Smith 1975   17  0.3812  0.0117  0.0720  0.4240  0.2313  0.31
Sokolov 2002   77  0.2388  0.0080  0.0464  0.0470  0.0371  0.03
Sztompka 1959   49  0.3141  0.0049  0.0653  0.0653  0.0554  0.05
Tomsic 1995   84  0.1778  0.0082  0.0286  0.0286  0.0285  0.02
Uninsky 1932   86  0.1090  0.0086  0.0467  0.0488  0.0281  0.03
Uninsky 1971   70  0.2655  0.0062  0.0466  0.0479  0.0378  0.03
Wasowski 1980   12  0.416  0.029  0.169  0.5330  0.358  0.43
Zak 1937   4  0.504  0.034  0.324  0.7112  0.594  0.65
Zak 1951   3  0.513  0.033  0.273  0.7410  0.613  0.67
Random 1   90  -0.1445  0.0090  0.0190  0.0180  0.0289  0.01
Random 2   88  -0.0660  0.0089  0.0189  0.0169  0.0387  0.02
Random 3   89  -0.0781  0.0087  0.0287  0.0265  0.0388  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).