Random 2

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   54  0.0024  0.0128  0.0823  0.2989  0.0221  0.08
Anderszewski 2003   62  -0.0133  0.0068  0.0370  0.0391  0.0169  0.02
Ashkenazy 1981   88  -0.1076  0.0082  0.0284  0.0291  0.0188  0.01
Bacha 2000   75  -0.0551  0.0043  0.0444  0.0889  0.0236  0.04
Badura 1965   91  -0.1583  0.0091  0.0191  0.0191  0.0187  0.01
Barbosa 1983   9  0.0826  0.0014  0.1013  0.4289  0.0218  0.09
Biret 1990   21  0.0615  0.0121  0.0627  0.2789  0.0227  0.07
Blet 2003   86  -0.0981  0.0086  0.0287  0.0291  0.0186  0.01
Block 1995   40  0.0128  0.0052  0.0457  0.0490  0.0175  0.02
Blumental 1952   33  0.0390  0.0038  0.0535  0.1690  0.0141  0.04
Boshniakovich 1969   51  0.0013  0.0136  0.0540  0.1191  0.0147  0.03
Brailowsky 1960   26  0.048  0.028  0.1214  0.3981  0.038  0.11
Bunin 1987   48  0.0037  0.0061  0.0451  0.0490  0.0177  0.02
Bunin 1987b   49  0.0060  0.0060  0.0369  0.0391  0.0161  0.02
Chiu 1999   65  -0.0341  0.0057  0.0365  0.0390  0.0152  0.02
Cohen 1997   25  0.0422  0.0129  0.0636  0.1689  0.0233  0.06
Cortot 1951   2  0.137  0.0213  0.096  0.4877  0.037  0.12
Csalog 1996   90  -0.1284  0.0083  0.0382  0.0391  0.0168  0.02
Czerny 1949   4  0.1117  0.0112  0.1110  0.4488  0.0219  0.09
Czerny 1990   44  0.0147  0.0053  0.0456  0.0491  0.0179  0.02
Duchoud 2007   77  -0.0663  0.0066  0.0362  0.0390  0.0173  0.02
Ezaki 2006   20  0.0645  0.0022  0.0717  0.3789  0.0215  0.09
Falvay 1989   58  -0.0177  0.0058  0.0360  0.0390  0.0253  0.02
Farrell 1958   6  0.0929  0.0017  0.0820  0.3289  0.0132  0.06
Ferenczy 1958   76  -0.0585  0.0084  0.0375  0.0389  0.0172  0.02
Fliere 1977   69  -0.0482  0.0065  0.0367  0.0391  0.0150  0.02
Fou 1978   79  -0.0671  0.0081  0.0376  0.0391  0.0157  0.02
Francois 1956   24  0.0444  0.0032  0.0729  0.2389  0.0228  0.07
Friedman 1923   85  -0.0862  0.0087  0.0285  0.0290  0.0191  0.01
Friedman 1923b   84  -0.0858  0.0088  0.0188  0.0191  0.0189  0.01
Friedman 1930   78  -0.0648  0.0078  0.0372  0.0390  0.0171  0.02
Garcia 2007   66  -0.0372  0.0063  0.0452  0.0490  0.0174  0.02
Garcia 2007b   74  -0.0567  0.0077  0.0380  0.0391  0.0182  0.02
Gierzod 1998   11  0.0779  0.0016  0.078  0.4689  0.0213  0.10
Gornostaeva 1994   61  -0.0114  0.0173  0.0377  0.0391  0.0178  0.02
Groot 1988   80  -0.0756  0.0085  0.0378  0.0391  0.0180  0.02
Harasiewicz 1955   29  0.0440  0.0044  0.0443  0.0890  0.0148  0.03
Hatto 1993   8  0.0849  0.009  0.114  0.5087  0.036  0.12
Hatto 1997   23  0.0518  0.0118  0.0812  0.4288  0.039  0.11
Horowitz 1949   1  0.141  0.231  0.231  0.6480  0.031  0.14
Indjic 1988   17  0.0611  0.0210  0.125  0.4988  0.035  0.12
Kapell 1951   53  0.0073  0.0071  0.0366  0.0391  0.0159  0.02
Kissin 1993   64  -0.0259  0.0070  0.0450  0.0491  0.0166  0.02
Kushner 1989   59  -0.0191  0.0059  0.0368  0.0390  0.0158  0.02
Luisada 1991   30  0.0321  0.0134  0.0633  0.1989  0.0229  0.06
Lushtak 2004   39  0.0242  0.0041  0.0541  0.0989  0.0240  0.04
Malcuzynski 1961   27  0.0468  0.0033  0.0632  0.2091  0.0137  0.04
Magaloff 1978   3  0.1220  0.015  0.132  0.5389  0.0211  0.10
Magin 1975   63  -0.0286  0.0076  0.0283  0.0291  0.0185  0.01
Michalowski 1933   7  0.095  0.063  0.159  0.4654  0.042  0.14
Milkina 1970   15  0.0752  0.0024  0.0716  0.3789  0.0217  0.09
Mohovich 1999   12  0.0727  0.0025  0.0819  0.3389  0.0222  0.08
Moravec 1969   16  0.0712  0.016  0.117  0.4788  0.0210  0.10
Morozova 2008   32  0.0355  0.0037  0.0537  0.1590  0.0139  0.04
Neighaus 1950   83  -0.0869  0.0089  0.0189  0.0191  0.0190  0.01
Niedzielski 1931   43  0.0157  0.0051  0.0453  0.0489  0.0243  0.03
Ohlsson 1999   55  0.0036  0.0042  0.0442  0.0989  0.0144  0.03
Osinska 1989   37  0.0264  0.0049  0.0455  0.0489  0.0151  0.02
Pachmann 1927   72  -0.0461  0.0079  0.0381  0.0391  0.0164  0.02
Paderewski 1930   87  -0.1030  0.0062  0.0364  0.0391  0.0163  0.02
Perlemuter 1992   82  -0.0735  0.0075  0.0286  0.0291  0.0184  0.01
Pierdomenico 2008   67  -0.0354  0.0045  0.0445  0.0890  0.0142  0.03
Poblocka 1999   14  0.0750  0.0023  0.0625  0.2888  0.0224  0.07
Rabcewiczowa 1932   34  0.0234  0.0067  0.0371  0.0391  0.0156  0.02
Rachmaninoff 1923   18  0.0632  0.0011  0.0918  0.3591  0.0131  0.06
Rangell 2001   19  0.066  0.0515  0.0828  0.2390  0.0135  0.05
Richter 1976   56  0.0053  0.0039  0.0638  0.1491  0.0138  0.04
Rosen 1989   42  0.0125  0.0126  0.0626  0.2790  0.0226  0.07
Rosenthal 1930   28  0.044  0.077  0.1121  0.3182  0.0314  0.10
Rosenthal 1931   31  0.0316  0.0127  0.0624  0.2989  0.0220  0.08
Rosenthal 1931b   45  0.0165  0.0020  0.0622  0.3188  0.0223  0.08
Rosenthal 1931c   41  0.0166  0.0054  0.0449  0.0490  0.0181  0.02
Rosenthal 1931d   13  0.073  0.124  0.1411  0.4372  0.044  0.13
Rossi 2007   71  -0.0443  0.0030  0.0634  0.1887  0.0230  0.06
Rubinstein 1939   70  -0.0446  0.0074  0.0374  0.0391  0.0155  0.02
Rubinstein 1952   38  0.0274  0.0046  0.0448  0.0489  0.0249  0.03
Rubinstein 1966   35  0.0270  0.0047  0.0547  0.0590  0.0245  0.03
Schilhawsky 1960   22  0.0675  0.0031  0.0531  0.2289  0.0134  0.05
Shebanova 2002   46  0.0187  0.0055  0.0454  0.0489  0.0246  0.03
Smith 1975   68  -0.0388  0.0080  0.0379  0.0391  0.0154  0.02
Sokolov 2002   10  0.0731  0.0019  0.0815  0.3789  0.0216  0.09
Sztompka 1959   47  0.0119  0.0156  0.0373  0.0391  0.0165  0.02
Tomsic 1995   36  0.0238  0.0035  0.0730  0.2388  0.0225  0.07
Uninsky 1932   5  0.092  0.162  0.183  0.5287  0.0212  0.10
Uninsky 1971   50  0.0039  0.0048  0.0546  0.0589  0.0167  0.02
Wasowski 1980   81  -0.0723  0.0190  0.0190  0.0191  0.0183  0.01
Zak 1937   60  -0.0180  0.0069  0.0358  0.0390  0.0160  0.02
Zak 1951   57  0.0078  0.0064  0.0361  0.0390  0.0162  0.02
Average   52  0.0089  0.0072  0.0359  0.0390  0.0170  0.02
Random 1   89  -0.119  0.0250  0.0363  0.0389  0.0176  0.02
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   73  -0.0510  0.0240  0.0639  0.1344  0.133  0.13

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).