Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.8215  0.019  0.118  0.4911  0.4510  0.47
Anderszewski 2003   2  0.8221  0.0122  0.0814  0.404  0.4618  0.43
Ashkenazy 1981   31  0.7351  0.0016  0.0617  0.388  0.4720  0.42
Bacha 2000   66  0.5779  0.0072  0.0566  0.0572  0.0472  0.04
Badura 1965   4  0.819  0.0223  0.1023  0.324  0.6015  0.44
Barbosa 1983   70  0.5652  0.0071  0.0379  0.0354  0.0578  0.04
Biret 1990   56  0.6420  0.0151  0.0555  0.0533  0.1859  0.09
Blet 2003   51  0.6527  0.0063  0.0653  0.0651  0.0665  0.06
Block 1995   32  0.7346  0.0032  0.0541  0.112  0.4536  0.22
Blumental 1952   62  0.6036  0.0056  0.0652  0.0632  0.1358  0.09
Boshniakovich 1969   5  0.801  0.221  0.224  0.531  0.624  0.57
Brailowsky 1960   53  0.6560  0.0069  0.0467  0.0450  0.0573  0.04
Bunin 1987   67  0.5680  0.0038  0.0434  0.1511  0.4934  0.27
Bunin 1987b   71  0.5589  0.0037  0.0433  0.1611  0.4931  0.28
Chiu 1999   37  0.7248  0.0054  0.0565  0.0530  0.2351  0.11
Cohen 1997   81  0.3864  0.0087  0.0384  0.0376  0.0385  0.03
Cortot 1951   35  0.7331  0.0024  0.0624  0.322  0.6116  0.44
Csalog 1996   82  0.3718  0.0166  0.0469  0.0446  0.0579  0.04
Czerny 1949   8  0.785  0.076  0.129  0.4515  0.519  0.48
Czerny 1990   36  0.7213  0.0153  0.0470  0.0443  0.1068  0.06
Duchoud 2007   60  0.6265  0.0039  0.0444  0.097  0.4637  0.20
Ezaki 2006   1  0.864  0.085  0.133  0.561  0.613  0.58
Falvay 1989   77  0.4614  0.0186  0.0382  0.0361  0.0574  0.04
Farrell 1958   52  0.6572  0.0067  0.0476  0.0445  0.1162  0.07
Ferenczy 1958   42  0.6932  0.0062  0.0559  0.0519  0.3347  0.13
Fliere 1977   6  0.7922  0.0110  0.0910  0.4418  0.3821  0.41
Fou 1978   25  0.7433  0.0047  0.0558  0.0524  0.3048  0.12
Francois 1956   69  0.5644  0.0075  0.0554  0.0556  0.0481  0.04
Friedman 1923   9  0.7890  0.0033  0.0631  0.1811  0.5229  0.31
Friedman 1923b   11  0.7747  0.0030  0.0730  0.2211  0.5427  0.34
Friedman 1930   13  0.7643  0.0046  0.0745  0.079  0.5439  0.19
Garcia 2007   40  0.7187  0.0048  0.0646  0.0618  0.3846  0.15
Garcia 2007b   49  0.6663  0.0041  0.0438  0.1230  0.2842  0.18
Gierzod 1998   33  0.7323  0.0127  0.1026  0.3124  0.3428  0.32
Gornostaeva 1994   57  0.6357  0.0061  0.0560  0.0529  0.2057  0.10
Groot 1988   64  0.6081  0.0059  0.0557  0.0531  0.2654  0.11
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   26  0.7442  0.0044  0.0640  0.1231  0.2444  0.17
Hatto 1997   16  0.7662  0.0043  0.0639  0.1229  0.2543  0.17
Horowitz 1949   7  0.7912  0.028  0.146  0.502  0.595  0.54
Indjic 1988   14  0.7626  0.0142  0.0437  0.1329  0.2541  0.18
Kapell 1951   55  0.643  0.084  0.135  0.521  0.487  0.50
Kissin 1993   19  0.7629  0.0020  0.0911  0.4310  0.4911  0.46
Kushner 1989   45  0.6830  0.0057  0.0564  0.0554  0.0570  0.05
Luisada 1991   21  0.7575  0.0045  0.0561  0.0540  0.1360  0.08
Lushtak 2004   39  0.7124  0.0155  0.0650  0.0623  0.2449  0.12
Malcuzynski 1961   50  0.658  0.0312  0.1027  0.301  0.6217  0.43
Magaloff 1978   74  0.4984  0.0079  0.0383  0.0376  0.0483  0.03
Magin 1975   41  0.7035  0.0014  0.0719  0.3714  0.4522  0.41
Michalowski 1933   47  0.6766  0.0036  0.0532  0.1714  0.4433  0.27
Milkina 1970   28  0.746  0.0313  0.0825  0.3213  0.4823  0.39
Mohovich 1999   48  0.6649  0.0050  0.0648  0.0638  0.2153  0.11
Moravec 1969   79  0.4459  0.0081  0.0378  0.0376  0.0482  0.03
Morozova 2008   22  0.7585  0.0035  0.0536  0.1326  0.2738  0.19
Neighaus 1950   29  0.7458  0.0021  0.0821  0.3320  0.4026  0.36
Niedzielski 1931   58  0.6373  0.0058  0.0474  0.0474  0.0384  0.03
Ohlsson 1999   44  0.6819  0.0126  0.0822  0.3216  0.4025  0.36
Osinska 1989   20  0.7628  0.0031  0.0629  0.2226  0.3432  0.27
Pachmann 1927   59  0.6376  0.0070  0.0473  0.0424  0.2755  0.10
Paderewski 1930   65  0.6050  0.0068  0.0380  0.0337  0.1464  0.06
Perlemuter 1992   27  0.7486  0.0052  0.0647  0.0634  0.1950  0.11
Pierdomenico 2008   78  0.4437  0.0073  0.0468  0.0452  0.0669  0.05
Poblocka 1999   34  0.7310  0.027  0.137  0.507  0.546  0.52
Rabcewiczowa 1932   72  0.5445  0.0074  0.0563  0.0577  0.0477  0.04
Rachmaninoff 1923   24  0.7470  0.0040  0.0535  0.1416  0.3535  0.22
Rangell 2001   80  0.4367  0.0060  0.0649  0.0610  0.4145  0.16
Richter 1976   23  0.7511  0.0219  0.0815  0.405  0.618  0.49
Rosen 1989   46  0.6741  0.0049  0.0651  0.0635  0.1756  0.10
Rosenthal 1930   75  0.4938  0.0065  0.0556  0.0522  0.2552  0.11
Rosenthal 1931   85  0.3482  0.0082  0.0286  0.0283  0.0389  0.02
Rosenthal 1931b   84  0.3474  0.0083  0.0287  0.0255  0.0587  0.03
Rosenthal 1931c   86  0.3154  0.0084  0.0285  0.0254  0.0588  0.03
Rosenthal 1931d   83  0.3588  0.0085  0.0381  0.0365  0.0486  0.03
Rossi 2007   61  0.627  0.0376  0.0475  0.0435  0.1561  0.08
Rubinstein 1939   73  0.5369  0.0077  0.0472  0.0458  0.0576  0.04
Rubinstein 1952   87  0.3055  0.0080  0.0377  0.0369  0.0580  0.04
Rubinstein 1966   68  0.5639  0.0029  0.0543  0.0963  0.0466  0.06
Schilhawsky 1960   18  0.7625  0.0118  0.0818  0.3711  0.5412  0.45
Shebanova 2002   38  0.7217  0.0128  0.1520  0.3331  0.2730  0.30
Smith 1975   54  0.6471  0.0064  0.0471  0.0470  0.0475  0.04
Sokolov 2002   63  0.6077  0.0025  0.0728  0.285  0.4824  0.37
Sztompka 1959   12  0.7740  0.0015  0.0712  0.4314  0.4119  0.42
Tomsic 1995   76  0.4834  0.0078  0.0562  0.0553  0.0763  0.06
Uninsky 1932   17  0.7661  0.0017  0.0716  0.397  0.5213  0.45
Uninsky 1971   43  0.6916  0.0111  0.0913  0.426  0.4714  0.44
Wasowski 1980   30  0.7356  0.0034  0.0542  0.1117  0.3040  0.18
Zak 1937   10  0.782  0.202  0.201  0.582  0.641  0.61
Zak 1951   15  0.7653  0.003  0.182  0.562  0.632  0.59
Random 1   89  -0.1583  0.0088  0.0189  0.0118  0.2871  0.05
Random 2   90  -0.1578  0.0090  0.0190  0.0165  0.0390  0.02
Random 3   88  -0.1368  0.0089  0.0188  0.0117  0.3767  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).