Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.4248  0.0064  0.0556  0.0524  0.3954  0.14
Anderszewski 2003   13  0.618  0.0119  0.1515  0.6010  0.6116  0.60
Ashkenazy 1981   63  0.4029  0.0060  0.0466  0.0433  0.2368  0.10
Bacha 2000   76  0.3638  0.0080  0.0465  0.0438  0.2271  0.09
Badura 1965   55  0.4449  0.0057  0.0749  0.0723  0.3551  0.16
Barbosa 1983   6  0.6614  0.016  0.176  0.665  0.689  0.67
Biret 1990   36  0.5344  0.0033  0.1131  0.4225  0.4237  0.42
Blet 2003   60  0.4169  0.0072  0.0381  0.0346  0.0780  0.05
Block 1995   53  0.4612  0.0155  0.0564  0.0525  0.3556  0.13
Blumental 1952   32  0.5532  0.0032  0.0930  0.4318  0.5529  0.49
Boshniakovich 1969   27  0.5739  0.0020  0.1517  0.5710  0.5324  0.55
Brailowsky 1960   44  0.4913  0.0148  0.0748  0.0732  0.3848  0.16
Bunin 1987   77  0.3674  0.0083  0.0563  0.0569  0.0485  0.04
Bunin 1987b   78  0.3580  0.0082  0.0379  0.0354  0.0582  0.04
Chiu 1999   62  0.4184  0.0073  0.0387  0.0343  0.1379  0.06
Cohen 1997   74  0.3723  0.0065  0.0472  0.0426  0.2073  0.09
Cortot 1951   61  0.4122  0.0058  0.0652  0.0610  0.5845  0.19
Csalog 1996   51  0.4657  0.0046  0.0747  0.0727  0.3252  0.15
Czerny 1949   4  0.675  0.035  0.379  0.644  0.776  0.70
Czerny 1990   1  0.741  0.551  0.551  0.841  0.861  0.85
Duchoud 2007   87  0.1785  0.0087  0.0385  0.0375  0.0389  0.03
Ezaki 2006   7  0.6411  0.0112  0.1114  0.619  0.6014  0.60
Falvay 1989   12  0.6226  0.0021  0.1516  0.6017  0.5817  0.59
Farrell 1958   43  0.5035  0.0038  0.1036  0.3618  0.5335  0.44
Ferenczy 1958   46  0.4860  0.0049  0.0650  0.0623  0.4847  0.17
Fliere 1977   23  0.5846  0.0029  0.0926  0.5022  0.4433  0.47
Fou 1978   10  0.6364  0.009  0.157  0.661  0.708  0.68
Francois 1956   66  0.3981  0.0063  0.0558  0.0532  0.2562  0.11
Friedman 1923   75  0.3751  0.0071  0.0380  0.0329  0.3170  0.10
Friedman 1923b   69  0.3861  0.0069  0.0384  0.0322  0.4060  0.11
Friedman 1930   67  0.3962  0.0070  0.0475  0.0434  0.2465  0.10
Garcia 2007   79  0.3567  0.0061  0.0469  0.0430  0.3457  0.12
Garcia 2007b   57  0.4415  0.0144  0.0844  0.1518  0.4743  0.27
Gierzod 1998   2  0.712  0.112  0.312  0.822  0.812  0.81
Gornostaeva 1994   35  0.5475  0.0045  0.0746  0.0730  0.3453  0.15
Groot 1988   71  0.3870  0.0059  0.0554  0.0553  0.0581  0.05
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   11  0.6236  0.008  0.175  0.674  0.737  0.70
Hatto 1997   15  0.6065  0.0014  0.0910  0.637  0.6711  0.65
Horowitz 1949   84  0.3145  0.0081  0.0386  0.0350  0.0683  0.04
Indjic 1988   14  0.6034  0.0018  0.1312  0.626  0.6910  0.65
Kapell 1951   17  0.597  0.0222  0.1321  0.5516  0.5722  0.56
Kissin 1993   8  0.649  0.0110  0.128  0.641  0.795  0.71
Kushner 1989   19  0.5937  0.0015  0.1020  0.5618  0.5026  0.53
Luisada 1991   54  0.4468  0.0068  0.0383  0.0370  0.0486  0.03
Lushtak 2004   18  0.5917  0.0023  0.1413  0.616  0.6413  0.62
Malcuzynski 1961   16  0.6018  0.0016  0.0919  0.5713  0.5523  0.56
Magaloff 1978   34  0.5431  0.0036  0.0838  0.329  0.5636  0.42
Magin 1975   31  0.5520  0.0037  0.0935  0.3818  0.5134  0.44
Michalowski 1933   86  0.2240  0.0086  0.0377  0.0346  0.0487  0.03
Milkina 1970   9  0.6452  0.007  0.2211  0.6213  0.5815  0.60
Mohovich 1999   41  0.5171  0.0041  0.0942  0.2132  0.2744  0.24
Moravec 1969   28  0.5724  0.0034  0.1134  0.409  0.5730  0.48
Morozova 2008   45  0.4866  0.0047  0.0845  0.0824  0.3846  0.17
Neighaus 1950   65  0.3972  0.0079  0.0562  0.0533  0.2269  0.10
Niedzielski 1931   81  0.3363  0.0067  0.0468  0.0432  0.2072  0.09
Ohlsson 1999   47  0.4778  0.0050  0.0553  0.0529  0.3655  0.13
Osinska 1989   3  0.704  0.063  0.333  0.793  0.773  0.78
Pachmann 1927   82  0.3386  0.0084  0.0470  0.0440  0.1476  0.07
Paderewski 1930   85  0.2387  0.0085  0.0467  0.0452  0.0584  0.04
Perlemuter 1992   64  0.4082  0.0066  0.0474  0.0433  0.2563  0.10
Pierdomenico 2008   58  0.4256  0.0051  0.0561  0.0511  0.5450  0.16
Poblocka 1999   21  0.5979  0.0030  0.1128  0.4716  0.5031  0.48
Rabcewiczowa 1932   50  0.4710  0.0124  0.1237  0.349  0.4838  0.40
Rachmaninoff 1923   56  0.4473  0.0056  0.0651  0.0638  0.2159  0.11
Rangell 2001   39  0.5228  0.0040  0.0740  0.247  0.6039  0.38
Richter 1976   29  0.5553  0.0026  0.1233  0.4118  0.5632  0.48
Rosen 1989   48  0.4750  0.0053  0.0555  0.0543  0.1967  0.10
Rosenthal 1930   70  0.3858  0.0075  0.0378  0.0329  0.3666  0.10
Rosenthal 1931   72  0.3743  0.0077  0.0382  0.0329  0.3464  0.10
Rosenthal 1931b   80  0.3388  0.0076  0.0471  0.0426  0.3361  0.11
Rosenthal 1931c   68  0.3876  0.0074  0.0376  0.0339  0.1878  0.07
Rosenthal 1931d   83  0.3289  0.0078  0.0473  0.0435  0.2274  0.09
Rossi 2007   73  0.3747  0.0062  0.0560  0.0533  0.2358  0.11
Rubinstein 1939   37  0.5341  0.0031  0.0829  0.459  0.5527  0.50
Rubinstein 1952   25  0.5716  0.0117  0.1118  0.5720  0.5125  0.54
Rubinstein 1966   5  0.663  0.094  0.344  0.725  0.724  0.72
Schilhawsky 1960   33  0.5430  0.0039  0.1039  0.2726  0.4240  0.34
Shebanova 2002   52  0.4625  0.0054  0.0559  0.0543  0.1275  0.08
Smith 1975   38  0.5233  0.0043  0.0843  0.1617  0.4742  0.27
Sokolov 2002   49  0.4783  0.0052  0.0557  0.0512  0.5149  0.16
Sztompka 1959   20  0.5955  0.0011  0.1123  0.5411  0.6319  0.58
Tomsic 1995   40  0.5227  0.0042  0.0841  0.2118  0.4741  0.31
Uninsky 1932   42  0.5119  0.0013  0.1022  0.541  0.7512  0.64
Uninsky 1971   26  0.5754  0.0027  0.1227  0.495  0.6620  0.57
Wasowski 1980   22  0.5821  0.0025  0.0925  0.524  0.6121  0.56
Zak 1937   24  0.586  0.0228  0.1024  0.536  0.6618  0.59
Zak 1951   30  0.5542  0.0035  0.1232  0.4111  0.5928  0.49
Random 1   89  -0.0490  0.0090  0.0190  0.0159  0.0490  0.02
Random 2   88  0.0477  0.0089  0.0189  0.0143  0.0788  0.03
Random 3   90  -0.0759  0.0088  0.0288  0.0225  0.2577  0.07

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).