Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.4268  0.0065  0.0557  0.0525  0.3955  0.14
Anderszewski 2003   14  0.619  0.0120  0.1416  0.6011  0.6117  0.60
Ashkenazy 1981   64  0.4024  0.0061  0.0467  0.0434  0.2368  0.10
Bacha 2000   77  0.3635  0.0081  0.0466  0.0439  0.2271  0.09
Badura 1965   56  0.4445  0.0058  0.0750  0.0724  0.3552  0.16
Barbosa 1983   7  0.6612  0.007  0.177  0.666  0.6810  0.67
Biret 1990   37  0.5342  0.0034  0.1132  0.4226  0.4238  0.42
Blet 2003   61  0.4169  0.0073  0.0382  0.0347  0.0781  0.05
Block 1995   54  0.4610  0.0156  0.0465  0.0426  0.3558  0.12
Blumental 1952   33  0.5532  0.0033  0.0931  0.4319  0.5530  0.49
Boshniakovich 1969   28  0.5737  0.0021  0.1518  0.5711  0.5325  0.55
Brailowsky 1960   45  0.4914  0.0049  0.0749  0.0733  0.3849  0.16
Bunin 1987   78  0.3673  0.0084  0.0564  0.0570  0.0486  0.04
Bunin 1987b   79  0.3581  0.0083  0.0380  0.0355  0.0583  0.04
Chiu 1999   63  0.4185  0.0074  0.0388  0.0344  0.1380  0.06
Cohen 1997   75  0.3721  0.0066  0.0473  0.0427  0.2073  0.09
Cortot 1951   62  0.4119  0.0059  0.0653  0.0611  0.5846  0.19
Csalog 1996   52  0.4655  0.0047  0.0748  0.0728  0.3253  0.15
Czerny 1949   5  0.675  0.026  0.3710  0.645  0.777  0.70
Czerny 1990   2  0.742  0.202  0.542  0.842  0.861  0.85
Duchoud 2007   88  0.1786  0.0088  0.0386  0.0376  0.0390  0.03
Ezaki 2006   8  0.6420  0.0013  0.1115  0.6110  0.6015  0.60
Falvay 1989   13  0.6244  0.0022  0.1517  0.6018  0.5818  0.59
Farrell 1958   44  0.5033  0.0039  0.0937  0.3619  0.5336  0.44
Ferenczy 1958   47  0.4864  0.0050  0.0651  0.0624  0.4848  0.17
Fliere 1977   24  0.5849  0.0030  0.0827  0.5023  0.4434  0.47
Fou 1978   11  0.6363  0.0010  0.158  0.662  0.709  0.68
Francois 1956   67  0.3982  0.0064  0.0559  0.0533  0.2563  0.11
Friedman 1923   76  0.3747  0.0072  0.0381  0.0330  0.3170  0.10
Friedman 1923b   70  0.3860  0.0070  0.0385  0.0323  0.4061  0.11
Friedman 1930   68  0.3961  0.0071  0.0376  0.0335  0.2475  0.08
Garcia 2007   80  0.3565  0.0062  0.0470  0.0431  0.3457  0.12
Garcia 2007b   58  0.4411  0.0145  0.0845  0.1519  0.4744  0.27
Gierzod 1998   3  0.716  0.023  0.303  0.823  0.812  0.81
Gornostaeva 1994   36  0.5474  0.0046  0.0747  0.0731  0.3454  0.15
Groot 1988   72  0.3870  0.0060  0.0555  0.0554  0.0582  0.05
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   12  0.6250  0.009  0.176  0.675  0.738  0.70
Hatto 1997   16  0.6075  0.0015  0.0911  0.638  0.6712  0.65
Horowitz 1949   85  0.3143  0.0082  0.0387  0.0351  0.0684  0.04
Indjic 1988   15  0.6039  0.0019  0.1313  0.627  0.6911  0.65
Kapell 1951   18  0.597  0.0123  0.1322  0.5517  0.5723  0.56
Kissin 1993   9  0.6431  0.0011  0.129  0.642  0.796  0.71
Kushner 1989   20  0.5940  0.0016  0.0921  0.5619  0.5027  0.53
Luisada 1991   55  0.4466  0.0069  0.0384  0.0371  0.0487  0.03
Lushtak 2004   19  0.5915  0.0024  0.1414  0.617  0.6414  0.62
Malcuzynski 1961   17  0.6013  0.0017  0.0920  0.5714  0.5524  0.56
Magaloff 1978   35  0.5429  0.0037  0.0839  0.3210  0.5637  0.42
Magin 1975   32  0.5522  0.0038  0.0936  0.3819  0.5135  0.44
Michalowski 1933   87  0.2236  0.0087  0.0378  0.0347  0.0488  0.03
Milkina 1970   10  0.6451  0.008  0.2212  0.6214  0.5816  0.60
Mohovich 1999   42  0.5176  0.0042  0.0943  0.2133  0.2745  0.24
Moravec 1969   29  0.5723  0.0035  0.1035  0.4010  0.5731  0.48
Morozova 2008   46  0.4867  0.0048  0.0846  0.0825  0.3847  0.17
Neighaus 1950   66  0.3971  0.0080  0.0563  0.0534  0.2269  0.10
Niedzielski 1931   82  0.3362  0.0068  0.0469  0.0433  0.2072  0.09
Ohlsson 1999   48  0.4779  0.0051  0.0554  0.0530  0.3656  0.13
Osinska 1989   4  0.704  0.044  0.324  0.794  0.774  0.78
Pachmann 1927   83  0.3387  0.0085  0.0471  0.0441  0.1477  0.07
Paderewski 1930   86  0.2388  0.0086  0.0468  0.0453  0.0585  0.04
Perlemuter 1992   65  0.4083  0.0067  0.0475  0.0434  0.2564  0.10
Pierdomenico 2008   59  0.4252  0.0052  0.0562  0.0512  0.5451  0.16
Poblocka 1999   22  0.5980  0.0031  0.1129  0.4717  0.5032  0.48
Rabcewiczowa 1932   51  0.4716  0.0025  0.1138  0.3410  0.4839  0.40
Rachmaninoff 1923   57  0.4472  0.0057  0.0652  0.0639  0.2160  0.11
Rangell 2001   40  0.5225  0.0041  0.0741  0.248  0.6040  0.38
Richter 1976   30  0.5558  0.0027  0.1234  0.4119  0.5633  0.48
Rosen 1989   49  0.4753  0.0054  0.0556  0.0544  0.1967  0.10
Rosenthal 1930   71  0.3856  0.0076  0.0379  0.0330  0.3666  0.10
Rosenthal 1931   73  0.3741  0.0078  0.0383  0.0330  0.3465  0.10
Rosenthal 1931b   81  0.3389  0.0077  0.0472  0.0427  0.3362  0.11
Rosenthal 1931c   69  0.3877  0.0075  0.0377  0.0340  0.1879  0.07
Rosenthal 1931d   84  0.3290  0.0079  0.0474  0.0436  0.2274  0.09
Rossi 2007   74  0.3746  0.0063  0.0561  0.0534  0.2359  0.11
Rubinstein 1939   38  0.5338  0.0032  0.0830  0.4510  0.5528  0.50
Rubinstein 1952   26  0.5717  0.0018  0.1119  0.5721  0.5126  0.54
Rubinstein 1966   6  0.663  0.045  0.335  0.726  0.725  0.72
Schilhawsky 1960   34  0.5430  0.0040  0.1040  0.2727  0.4241  0.34
Shebanova 2002   53  0.4627  0.0055  0.0560  0.0544  0.1276  0.08
Smith 1975   39  0.5234  0.0044  0.0844  0.1618  0.4743  0.27
Sokolov 2002   50  0.4784  0.0053  0.0558  0.0513  0.5150  0.16
Sztompka 1959   21  0.5954  0.0012  0.1124  0.5412  0.6320  0.58
Tomsic 1995   41  0.5226  0.0043  0.0742  0.2119  0.4742  0.31
Uninsky 1932   43  0.5128  0.0014  0.0923  0.542  0.7513  0.64
Uninsky 1971   27  0.5748  0.0028  0.1228  0.496  0.6621  0.57
Wasowski 1980   23  0.5818  0.0026  0.0926  0.525  0.6122  0.56
Zak 1937   25  0.588  0.0129  0.0925  0.537  0.6619  0.59
Zak 1951   31  0.5557  0.0036  0.1133  0.4112  0.5929  0.49
Average   1  0.771  0.551  0.541  0.899  0.703  0.79
Random 1   90  -0.0491  0.0091  0.0191  0.0159  0.0391  0.02
Random 2   89  0.0478  0.0090  0.0190  0.0143  0.0889  0.03
Random 3   91  -0.0759  0.0089  0.0289  0.0225  0.2778  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).