Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.4010  0.0113  0.0815  0.4333  0.3416  0.38
Anderszewski 2003   72  0.2080  0.0077  0.0372  0.0350  0.0762  0.05
Ashkenazy 1981   6  0.4424  0.008  0.137  0.5340  0.2618  0.37
Bacha 2000   18  0.3738  0.0026  0.0723  0.3725  0.4014  0.38
Badura 1965   44  0.3022  0.0037  0.0636  0.2121  0.4825  0.32
Barbosa 1983   58  0.2474  0.0055  0.0652  0.0643  0.1354  0.09
Biret 1990   25  0.3458  0.0035  0.0535  0.2122  0.5521  0.34
Blet 2003   76  0.1869  0.0082  0.0381  0.0382  0.0289  0.02
Block 1995   75  0.1991  0.0067  0.0365  0.0381  0.0384  0.03
Blumental 1952   36  0.3161  0.0030  0.0633  0.2544  0.1237  0.17
Boshniakovich 1969   83  0.1459  0.0072  0.0373  0.0347  0.0763  0.05
Brailowsky 1960   69  0.2114  0.0179  0.0380  0.0361  0.0566  0.04
Bunin 1987   43  0.3028  0.0047  0.0648  0.0638  0.2145  0.11
Bunin 1987b   40  0.3012  0.0148  0.1046  0.1038  0.2041  0.14
Chiu 1999   17  0.3720  0.0140  0.0644  0.1257  0.0657  0.08
Cohen 1997   24  0.3545  0.0028  0.0626  0.3531  0.4117  0.38
Cortot 1951   54  0.2546  0.0061  0.0461  0.0449  0.0665  0.05
Csalog 1996   57  0.248  0.0246  0.0649  0.0636  0.2144  0.11
Czerny 1949   10  0.4125  0.0012  0.1013  0.4519  0.694  0.56
Czerny 1990   34  0.3183  0.0039  0.0639  0.1750  0.0843  0.12
Duchoud 2007   8  0.4113  0.0111  0.116  0.5424  0.467  0.50
Ezaki 2006   35  0.3143  0.0033  0.0632  0.2645  0.1734  0.21
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   20  0.3763  0.0018  0.0714  0.4316  0.5111  0.47
Ferenczy 1958   28  0.3318  0.0127  0.0925  0.3517  0.756  0.51
Fliere 1977   65  0.2281  0.0068  0.0376  0.0381  0.0479  0.03
Fou 1978   7  0.434  0.047  0.145  0.5626  0.4110  0.48
Francois 1956   33  0.3260  0.0015  0.0812  0.4519  0.595  0.52
Friedman 1923   86  0.1084  0.0088  0.0286  0.0273  0.0487  0.03
Friedman 1923b   85  0.1088  0.0087  0.0288  0.0267  0.0586  0.03
Friedman 1930   80  0.1670  0.0084  0.0284  0.0278  0.0482  0.03
Garcia 2007   70  0.2050  0.0070  0.0374  0.0370  0.0483  0.03
Garcia 2007b   59  0.2334  0.0065  0.0366  0.0344  0.1460  0.06
Gierzod 1998   77  0.1836  0.0076  0.0375  0.0352  0.0675  0.04
Gornostaeva 1994   32  0.3256  0.0036  0.0634  0.2228  0.4527  0.31
Groot 1988   11  0.4129  0.0010  0.149  0.5241  0.2026  0.32
Harasiewicz 1955   41  0.3051  0.0056  0.0459  0.0464  0.0577  0.04
Hatto 1993   16  0.3889  0.0017  0.0819  0.4054  0.0836  0.18
Hatto 1997   3  0.475  0.035  0.1710  0.5114  0.488  0.49
Horowitz 1949   68  0.2175  0.0066  0.0382  0.0367  0.0570  0.04
Indjic 1988   14  0.4044  0.0014  0.0916  0.4342  0.2029  0.29
Kapell 1951   27  0.3431  0.0032  0.0628  0.2951  0.0740  0.14
Kissin 1993   48  0.2832  0.0031  0.0537  0.2141  0.2932  0.25
Kushner 1989   13  0.4037  0.0019  0.0717  0.4131  0.3615  0.38
Luisada 1991   26  0.3427  0.0022  0.0729  0.2835  0.2930  0.28
Lushtak 2004   46  0.2941  0.0052  0.0556  0.0531  0.2048  0.10
Malcuzynski 1961   71  0.2085  0.0075  0.0464  0.0471  0.0469  0.04
Magaloff 1978   82  0.166  0.0343  0.0645  0.1247  0.0750  0.09
Magin 1975   74  0.2065  0.0081  0.0463  0.0468  0.0567  0.04
Michalowski 1933   67  0.2123  0.0044  0.0643  0.1344  0.1838  0.15
Milkina 1970   2  0.501  0.381  0.382  0.642  0.781  0.71
Mohovich 1999   66  0.2152  0.0080  0.0378  0.0382  0.0385  0.03
Moravec 1969   12  0.4116  0.019  0.1311  0.4916  0.489  0.48
Morozova 2008   19  0.379  0.0220  0.1121  0.3729  0.3023  0.33
Neighaus 1950   52  0.2753  0.0050  0.0650  0.0672  0.0464  0.05
Niedzielski 1931   60  0.2335  0.0064  0.0555  0.0567  0.0561  0.05
Ohlsson 1999   63  0.2282  0.0071  0.0379  0.0379  0.0481  0.03
Osinska 1989   45  0.2911  0.0124  0.0927  0.3333  0.4019  0.36
Pachmann 1927   79  0.1747  0.0073  0.0369  0.0369  0.0573  0.04
Paderewski 1930   81  0.1676  0.0069  0.0377  0.0365  0.0672  0.04
Perlemuter 1992   84  0.1464  0.0085  0.0283  0.0284  0.0388  0.02
Pierdomenico 2008   51  0.2717  0.0151  0.0557  0.0542  0.1552  0.09
Poblocka 1999   42  0.3030  0.0053  0.0651  0.0644  0.1349  0.09
Rabcewiczowa 1932   53  0.2777  0.0062  0.0558  0.0543  0.1553  0.09
Rachmaninoff 1923   37  0.3148  0.0049  0.0653  0.0642  0.1451  0.09
Rangell 2001   49  0.2842  0.0041  0.0540  0.1663  0.0556  0.09
Richter 1976   62  0.2266  0.0074  0.0370  0.0358  0.0671  0.04
Rosen 1989   55  0.2567  0.0054  0.0554  0.0569  0.0476  0.04
Rosenthal 1930   47  0.2978  0.0034  0.0730  0.2732  0.4024  0.33
Rosenthal 1931   78  0.1857  0.0063  0.0747  0.0737  0.3439  0.15
Rosenthal 1931b   64  0.2254  0.0058  0.0368  0.0335  0.4146  0.11
Rosenthal 1931c   61  0.2268  0.0060  0.0371  0.0348  0.0678  0.04
Rosenthal 1931d   73  0.2086  0.0042  0.0741  0.1327  0.4133  0.23
Rossi 2007   88  0.0449  0.0089  0.0289  0.0263  0.0480  0.03
Rubinstein 1939   4  0.463  0.103  0.353  0.633  0.732  0.68
Rubinstein 1952   50  0.2871  0.0016  0.0718  0.4133  0.3120  0.36
Rubinstein 1966   22  0.3526  0.0021  0.0822  0.3730  0.2528  0.30
Schilhawsky 1960   87  0.0872  0.0090  0.0290  0.0283  0.0390  0.02
Shebanova 2002   30  0.3319  0.0145  0.0642  0.1360  0.0847  0.10
Smith 1975   31  0.3262  0.0025  0.0624  0.3524  0.4413  0.39
Sokolov 2002   23  0.3573  0.0038  0.0638  0.1927  0.3931  0.27
Sztompka 1959   56  0.2490  0.0078  0.0460  0.0469  0.0574  0.04
Tomsic 1995   5  0.4421  0.004  0.334  0.583  0.643  0.61
Uninsky 1932   21  0.3633  0.0029  0.0631  0.2655  0.0642  0.12
Uninsky 1971   9  0.417  0.026  0.188  0.5320  0.3812  0.45
Wasowski 1980   29  0.3315  0.0123  0.0920  0.3938  0.2822  0.33
Zak 1937   39  0.3039  0.0059  0.0367  0.0363  0.0568  0.04
Zak 1951   38  0.3140  0.0057  0.0462  0.0443  0.1358  0.07
Average   1  0.532  0.222  0.331  0.7657  0.0535  0.19
Random 1   90  0.0287  0.0086  0.0287  0.0213  0.3755  0.09
Random 2   89  0.0255  0.0083  0.0285  0.0230  0.2759  0.07
Random 3   91  -0.0679  0.0091  0.0191  0.0162  0.0391  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).