Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.4710  0.0251  0.0545  0.0570  0.0361  0.04
Anderszewski 2003   58  0.4085  0.0053  0.0448  0.0477  0.0376  0.03
Ashkenazy 1981   43  0.4446  0.0047  0.0460  0.0467  0.0464  0.04
Bacha 2000   56  0.4139  0.0080  0.0373  0.0362  0.0466  0.03
Badura 1965   84  0.2574  0.0084  0.0455  0.0479  0.0381  0.03
Barbosa 1983   66  0.3881  0.0048  0.0456  0.0453  0.0557  0.04
Biret 1990   1  0.642  0.112  0.392  0.6813  0.501  0.58
Blet 2003   36  0.4650  0.0041  0.0540  0.1671  0.0446  0.08
Block 1995   60  0.4019  0.0119  0.0729  0.2740  0.1117  0.17
Blumental 1952   76  0.3135  0.0057  0.0461  0.0453  0.0563  0.04
Boshniakovich 1969   45  0.4338  0.0020  0.0825  0.2938  0.1614  0.22
Brailowsky 1960   19  0.508  0.0329  0.0830  0.2646  0.0624  0.12
Bunin 1987   13  0.5137  0.0028  0.1318  0.3660  0.0429  0.12
Bunin 1987b   11  0.5114  0.0127  0.0917  0.3659  0.0427  0.12
Chiu 1999   37  0.4624  0.007  0.0812  0.4440  0.179  0.27
Cohen 1997   68  0.3766  0.0045  0.0546  0.0531  0.2333  0.11
Cortot 1951   8  0.5241  0.0014  0.097  0.4816  0.364  0.42
Csalog 1996   52  0.4331  0.0078  0.0375  0.0367  0.0475  0.03
Czerny 1949   35  0.4644  0.0033  0.0733  0.2351  0.0628  0.12
Czerny 1990   49  0.4386  0.0070  0.0372  0.0372  0.0483  0.03
Duchoud 2007   4  0.543  0.0415  0.0820  0.3438  0.1811  0.25
Ezaki 2006   40  0.4520  0.0143  0.0543  0.1078  0.0351  0.05
Falvay 1989   7  0.524  0.044  0.126  0.4947  0.0616  0.17
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   38  0.4653  0.0052  0.0451  0.0439  0.1450  0.07
Fliere 1977   22  0.4982  0.0039  0.0738  0.1868  0.0444  0.08
Fou 1978   27  0.479  0.028  0.1013  0.4055  0.0521  0.14
Francois 1956   29  0.4718  0.0126  0.0721  0.3348  0.0523  0.13
Friedman 1923   81  0.2756  0.0060  0.0371  0.0327  0.2643  0.09
Friedman 1923b   79  0.2722  0.0158  0.0454  0.0428  0.2735  0.10
Friedman 1930   83  0.2573  0.0061  0.0458  0.0468  0.0459  0.04
Garcia 2007   86  0.2461  0.0081  0.0379  0.0360  0.0480  0.03
Garcia 2007b   82  0.2663  0.0076  0.0457  0.0432  0.2437  0.10
Gierzod 1998   44  0.4440  0.0062  0.0376  0.0363  0.0479  0.03
Gornostaeva 1994   5  0.5421  0.0111  0.0523  0.3333  0.2210  0.27
Groot 1988   18  0.5067  0.0036  0.0632  0.2459  0.0436  0.10
Harasiewicz 1955   73  0.3378  0.0032  0.0631  0.2578  0.0342  0.09
Hatto 1993   78  0.2887  0.0085  0.0288  0.0287  0.0389  0.02
Hatto 1997   59  0.4088  0.0071  0.0463  0.0440  0.1149  0.07
Horowitz 1949   24  0.496  0.0316  0.0811  0.4437  0.1213  0.23
Indjic 1988   77  0.2983  0.0086  0.0364  0.0373  0.0374  0.03
Kapell 1951   6  0.5217  0.0125  0.0722  0.3346  0.0719  0.15
Kissin 1993   67  0.3751  0.0059  0.0367  0.0367  0.0472  0.03
Kushner 1989   46  0.4343  0.0064  0.0382  0.0379  0.0369  0.03
Luisada 1991   26  0.4872  0.0042  0.0641  0.1450  0.0638  0.09
Lushtak 2004   16  0.5013  0.015  0.134  0.5454  0.0518  0.16
Malcuzynski 1961   17  0.5052  0.0046  0.0453  0.0473  0.0370  0.03
Magaloff 1978   15  0.5023  0.0021  0.0914  0.3971  0.0331  0.11
Magin 1975   80  0.2768  0.0087  0.0383  0.0386  0.0286  0.02
Michalowski 1933   85  0.2589  0.0069  0.0381  0.0371  0.0471  0.03
Milkina 1970   9  0.5157  0.0037  0.0637  0.1972  0.0439  0.09
Mohovich 1999   55  0.4159  0.0073  0.0462  0.0486  0.0282  0.03
Moravec 1969   39  0.4633  0.0050  0.0450  0.0475  0.0367  0.03
Morozova 2008   32  0.4632  0.0017  0.0715  0.3751  0.0522  0.14
Neighaus 1950   2  0.611  0.451  0.441  0.7022  0.412  0.54
Niedzielski 1931   41  0.4564  0.0054  0.0447  0.0450  0.0556  0.04
Ohlsson 1999   10  0.5142  0.0035  0.0736  0.2076  0.0345  0.08
Osinska 1989   21  0.4975  0.0010  0.069  0.4633  0.178  0.28
Pachmann 1927   65  0.3934  0.0030  0.0734  0.2153  0.0534  0.10
Paderewski 1930   51  0.437  0.039  0.0828  0.2727  0.2112  0.24
Perlemuter 1992   74  0.3311  0.0218  0.0626  0.2969  0.0430  0.11
Pierdomenico 2008   61  0.3954  0.0056  0.0449  0.0463  0.0455  0.04
Poblocka 1999   12  0.5127  0.0024  0.0619  0.3564  0.0425  0.12
Rabcewiczowa 1932   33  0.4647  0.0012  0.0610  0.4524  0.393  0.42
Rachmaninoff 1923   34  0.465  0.046  0.155  0.5231  0.206  0.32
Rangell 2001   23  0.4929  0.0034  0.0635  0.2055  0.0441  0.09
Richter 1976   75  0.3184  0.0082  0.0286  0.0281  0.0387  0.02
Rosen 1989   14  0.5048  0.0031  0.0727  0.2941  0.1415  0.20
Rosenthal 1930   47  0.4336  0.0055  0.0452  0.0461  0.0462  0.04
Rosenthal 1931   72  0.3471  0.0075  0.0366  0.0346  0.0658  0.04
Rosenthal 1931b   71  0.3455  0.0067  0.0378  0.0359  0.0484  0.03
Rosenthal 1931c   57  0.4160  0.0072  0.0369  0.0369  0.0385  0.03
Rosenthal 1931d   70  0.3649  0.0074  0.0380  0.0347  0.0565  0.04
Rossi 2007   87  0.1165  0.0083  0.0374  0.0339  0.1052  0.05
Rubinstein 1939   50  0.4326  0.0049  0.0459  0.0419  0.3926  0.12
Rubinstein 1952   63  0.3979  0.0079  0.0368  0.0348  0.0754  0.05
Rubinstein 1966   25  0.4812  0.0140  0.0542  0.1369  0.0448  0.07
Schilhawsky 1960   64  0.3976  0.0066  0.0377  0.0372  0.0377  0.03
Shebanova 2002   62  0.3980  0.0077  0.0385  0.0379  0.0378  0.03
Smith 1975   3  0.5416  0.013  0.253  0.6240  0.147  0.29
Sokolov 2002   48  0.4390  0.0068  0.0365  0.0378  0.0368  0.03
Sztompka 1959   31  0.4769  0.0038  0.0739  0.1855  0.0540  0.09
Tomsic 1995   42  0.4530  0.0044  0.0544  0.1076  0.0353  0.05
Uninsky 1932   69  0.3658  0.0065  0.0384  0.0346  0.0660  0.04
Uninsky 1971   54  0.4228  0.0063  0.0370  0.0371  0.0373  0.03
Wasowski 1980   20  0.5015  0.0113  0.088  0.4721  0.335  0.39
Zak 1937   30  0.4745  0.0022  0.0916  0.3748  0.0620  0.15
Zak 1951   53  0.4225  0.0023  0.0724  0.3267  0.0432  0.11
Random 1   90  -0.0262  0.0089  0.0189  0.0166  0.0388  0.02
Random 2   88  0.0170  0.0088  0.0287  0.0218  0.3247  0.08
Random 3   89  0.0077  0.0090  0.0190  0.0180  0.0290  0.01

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).