Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.6433  0.0026  0.0521  0.3730  0.3029  0.33
Anderszewski 2003   10  0.683  0.048  0.1212  0.457  0.5012  0.47
Ashkenazy 1981   23  0.6464  0.0015  0.0813  0.4414  0.4619  0.45
Bacha 2000   83  0.3961  0.0082  0.0375  0.0359  0.0577  0.04
Badura 1965   5  0.699  0.0134  0.0637  0.1611  0.4435  0.27
Barbosa 1983   62  0.5147  0.0058  0.0366  0.0344  0.1272  0.06
Biret 1990   66  0.5148  0.0060  0.0462  0.0445  0.1270  0.07
Blet 2003   46  0.5741  0.0056  0.0461  0.0436  0.1765  0.08
Block 1995   28  0.6327  0.0025  0.0627  0.315  0.4725  0.38
Blumental 1952   76  0.4316  0.0173  0.0288  0.0252  0.0486  0.03
Boshniakovich 1969   13  0.678  0.029  0.0917  0.393  0.639  0.50
Brailowsky 1960   37  0.6053  0.0063  0.0646  0.0621  0.3644  0.15
Bunin 1987   36  0.6086  0.0021  0.0523  0.366  0.5321  0.44
Bunin 1987b   38  0.5987  0.0022  0.0922  0.364  0.5420  0.44
Chiu 1999   33  0.6142  0.0066  0.0372  0.0339  0.1769  0.07
Cohen 1997   86  0.3149  0.0087  0.0376  0.0363  0.0487  0.03
Cortot 1951   51  0.5583  0.0057  0.0365  0.0325  0.3060  0.09
Csalog 1996   88  0.2368  0.0086  0.0378  0.0348  0.0680  0.04
Czerny 1949   15  0.6674  0.0019  0.0619  0.3817  0.4523  0.41
Czerny 1990   21  0.6565  0.0037  0.0834  0.2131  0.2137  0.21
Duchoud 2007   61  0.5254  0.0048  0.0453  0.0430  0.3255  0.11
Ezaki 2006   2  0.7621  0.016  0.129  0.457  0.5210  0.48
Falvay 1989   59  0.5375  0.0077  0.0380  0.0366  0.0578  0.04
Farrell 1958   67  0.5072  0.0072  0.0284  0.0245  0.0779  0.04
Ferenczy 1958   60  0.5237  0.0071  0.0286  0.0236  0.1474  0.05
Fliere 1977   6  0.6929  0.007  0.134  0.4917  0.4217  0.45
Fou 1978   20  0.6513  0.0131  0.0830  0.2811  0.4427  0.35
Francois 1956   52  0.5481  0.0062  0.0548  0.0549  0.0575  0.05
Friedman 1923   74  0.4569  0.0084  0.0369  0.0335  0.2367  0.08
Friedman 1923b   73  0.4585  0.0083  0.0371  0.0336  0.2366  0.08
Friedman 1930   41  0.5914  0.0159  0.0464  0.0423  0.3851  0.12
Garcia 2007   55  0.5488  0.0050  0.0455  0.049  0.4745  0.14
Garcia 2007b   71  0.4980  0.0076  0.0374  0.0341  0.1076  0.05
Gierzod 1998   35  0.6157  0.0030  0.0729  0.3126  0.3231  0.31
Gornostaeva 1994   39  0.5984  0.0041  0.0540  0.1227  0.2939  0.19
Groot 1988   44  0.5879  0.0027  0.0635  0.2027  0.3834  0.28
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   69  0.4931  0.0044  0.0544  0.1024  0.2643  0.16
Hatto 1997   65  0.5171  0.0038  0.0538  0.1631  0.2141  0.18
Horowitz 1949   19  0.6522  0.0124  0.1025  0.356  0.6014  0.46
Indjic 1988   70  0.4911  0.0142  0.0441  0.1124  0.2542  0.17
Kapell 1951   47  0.5518  0.0118  0.0620  0.3714  0.4024  0.38
Kissin 1993   17  0.6643  0.0028  0.0628  0.3116  0.4226  0.36
Kushner 1989   32  0.6110  0.0135  0.0632  0.2628  0.3132  0.28
Luisada 1991   29  0.6239  0.0043  0.0442  0.1038  0.1549  0.12
Lushtak 2004   11  0.6751  0.0032  0.0826  0.3315  0.3628  0.34
Malcuzynski 1961   24  0.6430  0.003  0.158  0.473  0.673  0.56
Magaloff 1978   57  0.5462  0.0061  0.0549  0.0538  0.1658  0.09
Magin 1975   27  0.6326  0.0016  0.1010  0.4510  0.4713  0.46
Michalowski 1933   49  0.5577  0.0040  0.0543  0.1027  0.3240  0.18
Milkina 1970   42  0.5932  0.0033  0.0933  0.2323  0.3433  0.28
Mohovich 1999   26  0.6438  0.0017  0.0716  0.4214  0.5116  0.46
Moravec 1969   81  0.4063  0.0085  0.0367  0.0377  0.0381  0.03
Morozova 2008   16  0.6659  0.0036  0.0736  0.1828  0.2436  0.21
Neighaus 1950   12  0.6735  0.005  0.153  0.518  0.518  0.51
Niedzielski 1931   77  0.4234  0.0068  0.0383  0.0352  0.0483  0.03
Ohlsson 1999   53  0.5428  0.0047  0.0551  0.0539  0.1559  0.09
Osinska 1989   34  0.6115  0.0153  0.0452  0.0438  0.1662  0.08
Pachmann 1927   63  0.5170  0.0078  0.0287  0.0222  0.2964  0.08
Paderewski 1930   64  0.5160  0.0074  0.0381  0.0338  0.1371  0.06
Perlemuter 1992   3  0.7319  0.0112  0.077  0.473  0.585  0.52
Pierdomenico 2008   58  0.5423  0.0164  0.0457  0.0426  0.3750  0.12
Poblocka 1999   54  0.5473  0.0039  0.0539  0.1629  0.2338  0.19
Rabcewiczowa 1932   68  0.5058  0.0070  0.0285  0.0253  0.0484  0.03
Rachmaninoff 1923   14  0.6650  0.0023  0.0624  0.369  0.4922  0.42
Rangell 2001   78  0.4220  0.0152  0.0460  0.0422  0.3452  0.12
Richter 1976   8  0.685  0.0211  0.0811  0.453  0.596  0.52
Rosen 1989   45  0.5744  0.0045  0.0545  0.0935  0.2247  0.14
Rosenthal 1930   72  0.4845  0.0049  0.0550  0.0518  0.3946  0.14
Rosenthal 1931   75  0.4452  0.0069  0.0373  0.0322  0.4054  0.11
Rosenthal 1931b   79  0.4240  0.0079  0.0382  0.0324  0.3257  0.10
Rosenthal 1931c   84  0.3817  0.0180  0.0377  0.0331  0.2761  0.09
Rosenthal 1931d   80  0.4189  0.0081  0.0458  0.0422  0.3056  0.11
Rossi 2007   43  0.597  0.0275  0.0379  0.0332  0.2163  0.08
Rubinstein 1939   87  0.2866  0.0088  0.0459  0.0487  0.0282  0.03
Rubinstein 1952   85  0.324  0.0365  0.0370  0.0376  0.0488  0.03
Rubinstein 1966   82  0.4046  0.0055  0.0463  0.0450  0.0673  0.05
Schilhawsky 1960   7  0.6924  0.0013  0.0614  0.447  0.5211  0.48
Shebanova 2002   56  0.5482  0.0067  0.0368  0.0368  0.0485  0.03
Smith 1975   4  0.6936  0.0029  0.0631  0.2718  0.3730  0.32
Sokolov 2002   40  0.5967  0.0014  0.0715  0.425  0.4918  0.45
Sztompka 1959   31  0.6276  0.0046  0.0547  0.0537  0.2353  0.11
Tomsic 1995   48  0.5556  0.0054  0.0454  0.0420  0.4048  0.13
Uninsky 1932   18  0.6625  0.0020  0.0618  0.387  0.5615  0.46
Uninsky 1971   30  0.622  0.094  0.136  0.473  0.604  0.53
Wasowski 1980   50  0.5512  0.0151  0.0456  0.0437  0.1268  0.07
Zak 1937   25  0.6455  0.0010  0.085  0.488  0.547  0.51
Zak 1951   9  0.686  0.022  0.152  0.576  0.602  0.58
Average   1  0.761  0.551  0.551  0.756  0.591  0.67
Random 1   90  -0.1391  0.0091  0.0191  0.0153  0.0490  0.02
Random 2   91  -0.1790  0.0089  0.0190  0.0179  0.0389  0.02
Random 3   89  -0.1278  0.0090  0.0189  0.0165  0.0491  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).