Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6939  0.0025  0.1226  0.4817  0.4827  0.48
Anderszewski 2003   5  0.7320  0.0117  0.1321  0.545  0.5918  0.56
Ashkenazy 1981   40  0.6245  0.0035  0.1034  0.2910  0.4633  0.37
Bacha 2000   74  0.4854  0.0079  0.0381  0.0359  0.0487  0.03
Badura 1965   22  0.6723  0.0130  0.0735  0.2814  0.5232  0.38
Barbosa 1983   47  0.6017  0.0146  0.0550  0.056  0.5948  0.17
Biret 1990   46  0.6133  0.0028  0.0827  0.4510  0.5028  0.47
Blet 2003   59  0.5540  0.0072  0.0380  0.0337  0.1777  0.07
Block 1995   39  0.6227  0.0144  0.0644  0.119  0.5340  0.24
Blumental 1952   50  0.5978  0.0037  0.0638  0.1822  0.2944  0.23
Boshniakovich 1969   7  0.731  0.231  0.2311  0.622  0.6711  0.64
Brailowsky 1960   60  0.5526  0.0173  0.0562  0.0526  0.4054  0.14
Bunin 1987   75  0.4674  0.0070  0.0646  0.0615  0.4649  0.17
Bunin 1987b   77  0.4679  0.0069  0.0471  0.0414  0.4656  0.14
Chiu 1999   45  0.6180  0.0062  0.0474  0.0429  0.1971  0.09
Cohen 1997   83  0.3936  0.0084  0.0384  0.0358  0.0489  0.03
Cortot 1951   55  0.5730  0.0051  0.0554  0.053  0.6945  0.19
Csalog 1996   80  0.4471  0.0065  0.0473  0.0427  0.3067  0.11
Czerny 1949   3  0.743  0.103  0.158  0.686  0.668  0.67
Czerny 1990   4  0.734  0.107  0.134  0.714  0.733  0.72
Duchoud 2007   82  0.4389  0.0080  0.0553  0.0526  0.2762  0.12
Ezaki 2006   1  0.767  0.039  0.115  0.701  0.761  0.73
Falvay 1989   62  0.5416  0.0174  0.0472  0.0443  0.1674  0.08
Farrell 1958   53  0.5969  0.0053  0.0552  0.0531  0.3658  0.13
Ferenczy 1958   49  0.6061  0.0064  0.0551  0.059  0.5353  0.16
Fliere 1977   8  0.7231  0.0014  0.1313  0.6012  0.5019  0.55
Fou 1978   16  0.7062  0.0021  0.1222  0.527  0.5722  0.54
Francois 1956   67  0.5066  0.0078  0.0466  0.0441  0.1478  0.07
Friedman 1923   37  0.6351  0.0055  0.0745  0.0713  0.5146  0.19
Friedman 1923b   33  0.6365  0.0045  0.0549  0.0511  0.5550  0.17
Friedman 1930   36  0.6356  0.0054  0.0560  0.0510  0.5352  0.16
Garcia 2007   63  0.5481  0.0061  0.0382  0.0327  0.4068  0.11
Garcia 2007b   56  0.5657  0.0039  0.0636  0.2016  0.4936  0.31
Gierzod 1998   6  0.738  0.035  0.192  0.745  0.675  0.70
Gornostaeva 1994   48  0.6067  0.0052  0.0647  0.0626  0.3257  0.14
Groot 1988   70  0.5085  0.0056  0.0557  0.0553  0.0681  0.05
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   15  0.7012  0.0119  0.1218  0.578  0.5321  0.55
Hatto 1997   14  0.7082  0.0024  0.1120  0.548  0.5324  0.53
Horowitz 1949   54  0.5855  0.0048  0.0558  0.054  0.5747  0.17
Indjic 1988   12  0.7046  0.0023  0.1119  0.5511  0.5123  0.53
Kapell 1951   31  0.645  0.068  0.1214  0.592  0.6414  0.61
Kissin 1993   9  0.7213  0.0110  0.146  0.703  0.734  0.71
Kushner 1989   30  0.6437  0.0031  0.0832  0.3128  0.4134  0.36
Luisada 1991   29  0.6486  0.0050  0.0548  0.0535  0.2069  0.10
Lushtak 2004   27  0.6625  0.0136  0.0733  0.3113  0.5231  0.40
Malcuzynski 1961   28  0.6411  0.0218  0.1215  0.592  0.6812  0.63
Magaloff 1978   69  0.5050  0.0077  0.0377  0.0361  0.0488  0.03
Magin 1975   26  0.6638  0.0020  0.1125  0.5010  0.5325  0.51
Michalowski 1933   65  0.5252  0.0060  0.0383  0.0318  0.4366  0.11
Milkina 1970   13  0.709  0.0212  0.153  0.714  0.687  0.69
Mohovich 1999   51  0.5958  0.0042  0.0743  0.1427  0.4142  0.24
Moravec 1969   73  0.4944  0.0075  0.0385  0.0331  0.2570  0.09
Morozova 2008   32  0.6364  0.0041  0.0741  0.1629  0.3343  0.23
Neighaus 1950   41  0.6183  0.0043  0.0742  0.1519  0.4439  0.26
Niedzielski 1931   64  0.5342  0.0066  0.0379  0.0338  0.1776  0.07
Ohlsson 1999   44  0.6132  0.0027  0.1029  0.4119  0.4529  0.43
Osinska 1989   2  0.746  0.036  0.201  0.764  0.712  0.73
Pachmann 1927   72  0.4975  0.0083  0.0387  0.0331  0.2673  0.09
Paderewski 1930   81  0.4459  0.0081  0.0463  0.0433  0.2272  0.09
Perlemuter 1992   52  0.5976  0.0063  0.0561  0.0527  0.3159  0.12
Pierdomenico 2008   76  0.4649  0.0067  0.0475  0.0425  0.3860  0.12
Poblocka 1999   20  0.6819  0.0115  0.1717  0.585  0.6116  0.59
Rabcewiczowa 1932   66  0.5135  0.0057  0.0468  0.0454  0.0582  0.04
Rachmaninoff 1923   35  0.6372  0.0038  0.0539  0.1818  0.3738  0.26
Rangell 2001   71  0.4941  0.0047  0.0556  0.053  0.5951  0.17
Richter 1976   21  0.6828  0.0022  0.1424  0.504  0.6717  0.58
Rosen 1989   38  0.6253  0.0040  0.0640  0.1724  0.3441  0.24
Rosenthal 1930   79  0.4563  0.0076  0.0469  0.0425  0.3563  0.12
Rosenthal 1931   84  0.3648  0.0085  0.0464  0.0448  0.0680  0.05
Rosenthal 1931b   86  0.3587  0.0086  0.0465  0.0458  0.0585  0.04
Rosenthal 1931c   85  0.3573  0.0082  0.0386  0.0348  0.0686  0.04
Rosenthal 1931d   87  0.3477  0.0087  0.0470  0.0459  0.0484  0.04
Rossi 2007   58  0.5543  0.0068  0.0467  0.0424  0.3364  0.11
Rubinstein 1939   61  0.5560  0.0058  0.0476  0.0431  0.3265  0.11
Rubinstein 1952   78  0.4547  0.0071  0.0559  0.0548  0.0779  0.06
Rubinstein 1966   42  0.6110  0.0229  0.0837  0.2022  0.4637  0.30
Schilhawsky 1960   18  0.6918  0.0126  0.1823  0.519  0.5920  0.55
Shebanova 2002   34  0.6321  0.0134  0.1130  0.4030  0.3035  0.35
Smith 1975   43  0.6170  0.0049  0.0555  0.0513  0.4255  0.14
Sokolov 2002   57  0.5584  0.0033  0.0731  0.339  0.5030  0.41
Sztompka 1959   10  0.7129  0.0011  0.1512  0.6111  0.5915  0.60
Tomsic 1995   68  0.5034  0.0059  0.0378  0.0323  0.4661  0.12
Uninsky 1932   24  0.6614  0.0116  0.1416  0.582  0.6813  0.63
Uninsky 1971   25  0.6624  0.0113  0.1310  0.632  0.6810  0.65
Wasowski 1980   23  0.6622  0.0132  0.0728  0.416  0.5826  0.49
Zak 1937   11  0.702  0.162  0.177  0.693  0.706  0.69
Zak 1951   19  0.6915  0.014  0.169  0.662  0.679  0.66
Random 1   88  -0.0688  0.0089  0.0189  0.0137  0.1383  0.04
Random 2   89  -0.0690  0.0090  0.0190  0.0170  0.0390  0.02
Random 3   90  -0.0868  0.0088  0.0288  0.029  0.3675  0.08

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).