Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   21  0.6413  0.0225  0.0520  0.3729  0.3028  0.33
Anderszewski 2003   9  0.685  0.047  0.1211  0.456  0.5011  0.47
Ashkenazy 1981   22  0.6434  0.0014  0.0812  0.4413  0.4618  0.45
Bacha 2000   82  0.3965  0.0081  0.0374  0.0358  0.0577  0.04
Badura 1965   4  0.6912  0.0233  0.0636  0.1610  0.4434  0.27
Barbosa 1983   61  0.5138  0.0057  0.0365  0.0343  0.1271  0.06
Biret 1990   65  0.5150  0.0059  0.0461  0.0444  0.1269  0.07
Blet 2003   45  0.5740  0.0055  0.0460  0.0435  0.1764  0.08
Block 1995   27  0.6331  0.0024  0.0626  0.314  0.4724  0.38
Blumental 1952   75  0.4316  0.0172  0.0287  0.0251  0.0485  0.03
Boshniakovich 1969   12  0.677  0.048  0.1016  0.392  0.638  0.50
Brailowsky 1960   36  0.6058  0.0062  0.0645  0.0620  0.3643  0.15
Bunin 1987   35  0.6085  0.0020  0.0522  0.365  0.5320  0.44
Bunin 1987b   37  0.5986  0.0021  0.1021  0.364  0.5419  0.44
Chiu 1999   32  0.6145  0.0065  0.0371  0.0338  0.1768  0.07
Cohen 1997   85  0.3152  0.0086  0.0375  0.0362  0.0486  0.03
Cortot 1951   50  0.5582  0.0056  0.0464  0.0424  0.3056  0.11
Csalog 1996   87  0.2351  0.0085  0.0377  0.0347  0.0679  0.04
Czerny 1949   14  0.6674  0.0018  0.0618  0.3816  0.4522  0.41
Czerny 1990   20  0.6549  0.0036  0.0833  0.2130  0.2136  0.21
Duchoud 2007   60  0.5260  0.0047  0.0452  0.0429  0.3254  0.11
Ezaki 2006   1  0.764  0.115  0.138  0.456  0.529  0.48
Falvay 1989   58  0.5375  0.0076  0.0379  0.0365  0.0578  0.04
Farrell 1958   66  0.5069  0.0071  0.0383  0.0344  0.0772  0.05
Ferenczy 1958   59  0.5235  0.0070  0.0285  0.0235  0.1474  0.05
Fliere 1977   5  0.699  0.036  0.143  0.4916  0.4216  0.45
Fou 1978   19  0.6517  0.0130  0.0829  0.2810  0.4426  0.35
Francois 1956   51  0.5481  0.0061  0.0547  0.0548  0.0575  0.05
Friedman 1923   73  0.4571  0.0083  0.0368  0.0334  0.2366  0.08
Friedman 1923b   72  0.4584  0.0082  0.0370  0.0335  0.2365  0.08
Friedman 1930   40  0.5923  0.0158  0.0463  0.0422  0.3850  0.12
Garcia 2007   54  0.5487  0.0049  0.0454  0.048  0.4744  0.14
Garcia 2007b   70  0.4979  0.0075  0.0373  0.0340  0.1076  0.05
Gierzod 1998   34  0.6162  0.0029  0.0728  0.3125  0.3230  0.31
Gornostaeva 1994   38  0.5983  0.0040  0.0539  0.1226  0.2938  0.19
Groot 1988   43  0.5877  0.0026  0.0634  0.2026  0.3833  0.28
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   68  0.4933  0.0043  0.0543  0.1023  0.2642  0.16
Hatto 1997   64  0.5172  0.0037  0.0537  0.1630  0.2140  0.18
Horowitz 1949   18  0.6528  0.0123  0.1024  0.355  0.6013  0.46
Indjic 1988   69  0.4914  0.0241  0.0440  0.1123  0.2541  0.17
Kapell 1951   46  0.5524  0.0117  0.0619  0.3713  0.4023  0.38
Kissin 1993   16  0.6644  0.0027  0.0627  0.3115  0.4225  0.36
Kushner 1989   31  0.6110  0.0334  0.0631  0.2627  0.3131  0.28
Luisada 1991   28  0.6241  0.0042  0.0541  0.1037  0.1548  0.12
Lushtak 2004   10  0.6753  0.0031  0.0825  0.3314  0.3627  0.34
Malcuzynski 1961   23  0.643  0.112  0.157  0.472  0.672  0.56
Magaloff 1978   56  0.5463  0.0060  0.0548  0.0537  0.1658  0.09
Magin 1975   26  0.6318  0.0115  0.119  0.459  0.4712  0.46
Michalowski 1933   48  0.5576  0.0039  0.0542  0.1026  0.3239  0.18
Milkina 1970   41  0.5932  0.0032  0.0932  0.2322  0.3432  0.28
Mohovich 1999   25  0.6442  0.0016  0.0715  0.4213  0.5115  0.46
Moravec 1969   80  0.4068  0.0084  0.0366  0.0376  0.0380  0.03
Morozova 2008   15  0.6666  0.0035  0.0735  0.1827  0.2435  0.21
Neighaus 1950   11  0.6711  0.034  0.162  0.517  0.517  0.51
Niedzielski 1931   76  0.4237  0.0067  0.0382  0.0351  0.0482  0.03
Ohlsson 1999   52  0.5426  0.0146  0.0550  0.0538  0.1559  0.09
Osinska 1989   33  0.6120  0.0152  0.0451  0.0437  0.1661  0.08
Pachmann 1927   62  0.5164  0.0077  0.0286  0.0221  0.2963  0.08
Paderewski 1930   63  0.5167  0.0073  0.0380  0.0337  0.1370  0.06
Perlemuter 1992   2  0.7322  0.0111  0.076  0.472  0.584  0.52
Pierdomenico 2008   57  0.5427  0.0163  0.0456  0.0425  0.3749  0.12
Poblocka 1999   53  0.5447  0.0038  0.0538  0.1628  0.2337  0.19
Rabcewiczowa 1932   67  0.5055  0.0069  0.0284  0.0252  0.0483  0.03
Rachmaninoff 1923   13  0.6654  0.0022  0.0623  0.368  0.4921  0.42
Rangell 2001   77  0.4221  0.0151  0.0459  0.0421  0.3451  0.12
Richter 1976   7  0.686  0.0410  0.0810  0.453  0.595  0.52
Rosen 1989   44  0.5746  0.0044  0.0544  0.0934  0.2246  0.14
Rosenthal 1930   71  0.4848  0.0048  0.0549  0.0517  0.3945  0.14
Rosenthal 1931   74  0.4457  0.0068  0.0372  0.0321  0.4053  0.11
Rosenthal 1931b   78  0.4243  0.0078  0.0381  0.0323  0.3257  0.10
Rosenthal 1931c   83  0.3825  0.0179  0.0376  0.0330  0.2760  0.09
Rosenthal 1931d   79  0.4188  0.0080  0.0457  0.0421  0.3055  0.11
Rossi 2007   42  0.5915  0.0274  0.0378  0.0331  0.2162  0.08
Rubinstein 1939   86  0.2870  0.0087  0.0458  0.0486  0.0381  0.03
Rubinstein 1952   84  0.328  0.0464  0.0369  0.0375  0.0487  0.03
Rubinstein 1966   81  0.4039  0.0054  0.0462  0.0449  0.0673  0.05
Schilhawsky 1960   6  0.6929  0.0012  0.0613  0.446  0.5210  0.48
Shebanova 2002   55  0.5480  0.0066  0.0367  0.0367  0.0484  0.03
Smith 1975   3  0.6936  0.0028  0.0630  0.2717  0.3729  0.32
Sokolov 2002   39  0.5956  0.0013  0.0714  0.424  0.4917  0.45
Sztompka 1959   30  0.6273  0.0045  0.0546  0.0536  0.2352  0.11
Tomsic 1995   47  0.5561  0.0053  0.0453  0.0419  0.4047  0.13
Uninsky 1932   17  0.6630  0.0019  0.0617  0.386  0.5614  0.46
Uninsky 1971   29  0.622  0.123  0.135  0.472  0.603  0.53
Wasowski 1980   49  0.5519  0.0150  0.0455  0.0436  0.1267  0.07
Zak 1937   24  0.6459  0.009  0.084  0.487  0.546  0.51
Zak 1951   8  0.681  0.161  0.151  0.575  0.601  0.58
Random 1   89  -0.1390  0.0090  0.0190  0.0153  0.0489  0.02
Random 2   90  -0.1789  0.0088  0.0189  0.0178  0.0388  0.02
Random 3   88  -0.1278  0.0089  0.0188  0.0166  0.0490  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).