Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   70  0.3189  0.0069  0.0482  0.0437  0.1862  0.08
Anderszewski 2003   68  0.3188  0.0071  0.0651  0.0659  0.0572  0.05
Ashkenazy 1981   54  0.3775  0.0065  0.0555  0.0563  0.0676  0.05
Bacha 2000   83  0.1677  0.0084  0.0569  0.0585  0.0283  0.03
Badura 1965   75  0.3045  0.0068  0.0483  0.0433  0.1763  0.08
Barbosa 1983   25  0.456  0.048  0.1116  0.5312  0.5316  0.53
Biret 1990   14  0.481  0.231  0.235  0.623  0.752  0.68
Blet 2003   24  0.4517  0.0122  0.0928  0.395  0.5924  0.48
Block 1995   53  0.3760  0.0043  0.0544  0.0953  0.0664  0.07
Blumental 1952   65  0.3440  0.0058  0.0562  0.0552  0.0675  0.05
Boshniakovich 1969   40  0.4046  0.0029  0.0929  0.3835  0.2532  0.31
Brailowsky 1960   78  0.2679  0.0078  0.0477  0.0475  0.0478  0.04
Bunin 1987   39  0.4052  0.0046  0.0576  0.0522  0.4148  0.14
Bunin 1987b   42  0.4042  0.0044  0.0542  0.1018  0.4440  0.21
Chiu 1999   19  0.4616  0.0117  0.1013  0.553  0.658  0.60
Cohen 1997   63  0.3413  0.0153  0.0478  0.0438  0.2457  0.10
Cortot 1951   76  0.2726  0.0067  0.0556  0.0537  0.1958  0.10
Csalog 1996   27  0.4434  0.0025  0.0822  0.494  0.5817  0.53
Czerny 1949   58  0.3680  0.0061  0.0653  0.0632  0.4443  0.16
Czerny 1990   3  0.538  0.036  0.117  0.6120  0.647  0.62
Duchoud 2007   50  0.3823  0.0041  0.0541  0.1113  0.4837  0.23
Ezaki 2006   74  0.3073  0.0075  0.0565  0.0564  0.0568  0.05
Falvay 1989   28  0.4450  0.0026  0.0921  0.4920  0.3927  0.44
Farrell 1958   45  0.3959  0.0039  0.0539  0.1316  0.4436  0.24
Ferenczy 1958   84  0.1584  0.0083  0.0384  0.0373  0.0484  0.03
Fliere 1977   5  0.5012  0.0114  0.116  0.6227  0.3921  0.49
Fou 1978   47  0.3851  0.0045  0.0560  0.0565  0.0479  0.04
Francois 1956   72  0.3086  0.0077  0.0647  0.0650  0.0577  0.05
Friedman 1923   31  0.4214  0.0124  0.0826  0.415  0.7015  0.54
Friedman 1923b   29  0.449  0.0221  0.1023  0.484  0.7210  0.59
Friedman 1930   10  0.494  0.104  0.191  0.683  0.781  0.73
Garcia 2007   73  0.3074  0.0072  0.0568  0.0561  0.0574  0.05
Garcia 2007b   32  0.4238  0.0042  0.0543  0.1019  0.4939  0.22
Gierzod 1998   80  0.2472  0.0073  0.0563  0.0555  0.0673  0.05
Gornostaeva 1994   38  0.4039  0.0037  0.0535  0.2129  0.3734  0.28
Groot 1988   13  0.4843  0.0018  0.1110  0.5610  0.5414  0.55
Harasiewicz 1955   11  0.4829  0.0019  0.1117  0.5234  0.3030  0.39
Hatto 1993   12  0.4869  0.0012  0.1619  0.5018  0.4822  0.49
Hatto 1997   17  0.4720  0.0115  0.0914  0.5315  0.5219  0.52
Horowitz 1949   30  0.4218  0.0136  0.0638  0.1612  0.5733  0.30
Indjic 1988   9  0.4924  0.009  0.1512  0.5516  0.5613  0.55
Kapell 1951   2  0.533  0.113  0.194  0.636  0.569  0.59
Kissin 1993   16  0.4722  0.0010  0.1320  0.5013  0.6512  0.57
Kushner 1989   26  0.4464  0.0033  0.1130  0.3870  0.0450  0.12
Luisada 1991   4  0.525  0.075  0.203  0.654  0.703  0.67
Lushtak 2004   61  0.3548  0.0062  0.0648  0.0643  0.0766  0.06
Malcuzynski 1961   44  0.4062  0.0054  0.0480  0.0459  0.0580  0.04
Magaloff 1978   34  0.4155  0.0035  0.0636  0.2036  0.1941  0.19
Magin 1975   20  0.4615  0.0131  0.1231  0.3717  0.5128  0.43
Michalowski 1933   67  0.3166  0.0076  0.0649  0.0635  0.2254  0.11
Milkina 1970   37  0.4144  0.0028  0.0924  0.4623  0.4925  0.47
Mohovich 1999   79  0.2571  0.0080  0.0646  0.0686  0.0382  0.04
Moravec 1969   18  0.4633  0.0032  0.1427  0.4112  0.4726  0.44
Morozova 2008   56  0.3756  0.0040  0.0440  0.1245  0.0661  0.08
Neighaus 1950   23  0.4527  0.0023  0.0832  0.369  0.5129  0.43
Niedzielski 1931   57  0.3625  0.0060  0.0572  0.0532  0.2553  0.11
Ohlsson 1999   7  0.5021  0.007  0.112  0.661  0.694  0.67
Osinska 1989   15  0.4811  0.0113  0.1211  0.5614  0.5911  0.57
Pachmann 1927   64  0.3461  0.0066  0.0479  0.0429  0.3552  0.12
Paderewski 1930   69  0.3132  0.0052  0.0650  0.0626  0.4342  0.16
Perlemuter 1992   51  0.3868  0.0063  0.0554  0.0530  0.2849  0.12
Pierdomenico 2008   46  0.3937  0.0049  0.0571  0.0517  0.4844  0.15
Poblocka 1999   22  0.4557  0.0030  0.1125  0.4619  0.5123  0.48
Rabcewiczowa 1932   71  0.3176  0.0070  0.0574  0.0556  0.0670  0.05
Rachmaninoff 1923   33  0.4110  0.0227  0.0934  0.3124  0.3831  0.34
Rangell 2001   41  0.4058  0.0047  0.0567  0.0524  0.4745  0.15
Richter 1976   8  0.4936  0.0016  0.129  0.5912  0.656  0.62
Rosen 1989   35  0.4119  0.0134  0.1133  0.3630  0.2135  0.27
Rosenthal 1930   77  0.2681  0.0081  0.0564  0.0564  0.0481  0.04
Rosenthal 1931   86  0.0985  0.0086  0.0287  0.0288  0.0286  0.02
Rosenthal 1931b   87  0.0790  0.0087  0.0286  0.0288  0.0289  0.02
Rosenthal 1931c   82  0.2083  0.0082  0.0481  0.0480  0.0385  0.03
Rosenthal 1931d   85  0.1187  0.0085  0.0385  0.0386  0.0288  0.02
Rossi 2007   81  0.2153  0.0079  0.0558  0.0539  0.2055  0.10
Rubinstein 1939   52  0.3749  0.0038  0.0737  0.1827  0.2638  0.22
Rubinstein 1952   36  0.4154  0.0050  0.0559  0.0551  0.0767  0.06
Rubinstein 1966   48  0.3841  0.0057  0.0561  0.0555  0.0765  0.06
Schilhawsky 1960   62  0.3547  0.0064  0.0745  0.0728  0.3047  0.14
Shebanova 2002   6  0.507  0.0311  0.1415  0.5320  0.5020  0.51
Smith 1975   49  0.3830  0.0056  0.0566  0.0528  0.3746  0.14
Sokolov 2002   66  0.3335  0.0074  0.0575  0.0556  0.0569  0.05
Sztompka 1959   1  0.532  0.202  0.208  0.607  0.675  0.63
Tomsic 1995   43  0.4031  0.0048  0.0652  0.0628  0.2651  0.12
Uninsky 1932   21  0.4528  0.0020  0.0918  0.5113  0.5618  0.53
Uninsky 1971   59  0.3663  0.0051  0.0573  0.0553  0.0671  0.05
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zak 1937   55  0.3770  0.0055  0.0570  0.0533  0.2156  0.10
Zak 1951   60  0.3565  0.0059  0.0557  0.0539  0.1559  0.09
Random 1   89  -0.0478  0.0089  0.0289  0.0271  0.0287  0.02
Random 2   90  -0.0467  0.0090  0.0190  0.0188  0.0290  0.01
Random 3   88  0.0082  0.0088  0.0288  0.029  0.4560  0.09

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).