Random 2

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  -0.0138  0.0013  0.0811  0.4387  0.0214  0.09
Anderszewski 2003   74  -0.0954  0.0075  0.0455  0.0490  0.0165  0.02
Ashkenazy 1981   64  -0.0884  0.0069  0.0456  0.0489  0.0174  0.02
Bacha 2000   49  -0.0546  0.0040  0.0439  0.1089  0.0236  0.04
Badura 1965   77  -0.1072  0.0070  0.0546  0.0590  0.0169  0.02
Barbosa 1983   18  0.0024  0.0128  0.0626  0.2590  0.0133  0.05
Biret 1990   4  0.0212  0.0230  0.0833  0.1988  0.0227  0.06
Blet 2003   86  -0.1379  0.0088  0.0282  0.0290  0.0185  0.01
Block 1995   81  -0.1034  0.0080  0.0281  0.0290  0.0187  0.01
Blumental 1952   30  -0.0280  0.0047  0.0457  0.0488  0.0244  0.03
Boshniakovich 1969   66  -0.0842  0.0050  0.0448  0.0490  0.0172  0.02
Brailowsky 1960   40  -0.0311  0.0319  0.1025  0.2789  0.0128  0.05
Bunin 1987   27  -0.0120  0.0125  0.0823  0.2890  0.0134  0.05
Bunin 1987b   25  -0.0166  0.0024  0.0720  0.3090  0.0131  0.05
Chiu 1999   43  -0.0440  0.0056  0.0461  0.0489  0.0152  0.02
Cohen 1997   16  0.0023  0.0144  0.0443  0.0788  0.0145  0.03
Cortot 1951   10  0.0116  0.0229  0.0721  0.2990  0.0135  0.05
Csalog 1996   90  -0.1685  0.0085  0.0284  0.0290  0.0184  0.01
Czerny 1949   22  -0.0118  0.0121  0.1018  0.3289  0.0125  0.06
Czerny 1990   51  -0.0664  0.0066  0.0365  0.0390  0.0176  0.02
Duchoud 2007   48  -0.0521  0.0137  0.0638  0.1189  0.0143  0.03
Ezaki 2006   21  -0.0135  0.0026  0.0622  0.2888  0.0220  0.07
Falvay 1989   71  -0.0973  0.0060  0.0376  0.0389  0.0153  0.02
Farrell 1958   8  0.0143  0.0036  0.0636  0.1488  0.0230  0.05
Ferenczy 1958   85  -0.1281  0.0086  0.0285  0.0290  0.0186  0.01
Fliere 1977   73  -0.0977  0.0067  0.0363  0.0390  0.0148  0.02
Fou 1978   61  -0.0782  0.0071  0.0371  0.0390  0.0156  0.02
Francois 1956   38  -0.0317  0.0123  0.0627  0.2489  0.0223  0.07
Friedman 1923   72  -0.0983  0.0083  0.0283  0.0289  0.0279  0.02
Friedman 1923b   68  -0.0874  0.0084  0.0378  0.0389  0.0175  0.02
Friedman 1930   75  -0.0962  0.0077  0.0377  0.0390  0.0167  0.02
Garcia 2007   65  -0.0886  0.0074  0.0453  0.0490  0.0168  0.02
Garcia 2007b   82  -0.1175  0.0081  0.0288  0.0290  0.0190  0.01
Gierzod 1998   32  -0.0287  0.0033  0.0631  0.2088  0.0226  0.06
Gornostaeva 1994   87  -0.1410  0.0441  0.0442  0.0890  0.0146  0.03
Groot 1988   80  -0.1060  0.0087  0.0286  0.0290  0.0188  0.01
Harasiewicz 1955   52  -0.0647  0.0063  0.0370  0.0390  0.0177  0.02
Hatto 1993   6  0.0122  0.0114  0.1012  0.4088  0.0216  0.09
Hatto 1997   15  0.0052  0.0020  0.0917  0.3388  0.0219  0.08
Horowitz 1949   2  0.031  0.171  0.174  0.5585  0.032  0.13
Indjic 1988   12  0.0039  0.0015  0.0913  0.3988  0.0212  0.09
Kapell 1951   63  -0.0876  0.0079  0.0280  0.0290  0.0183  0.01
Kissin 1993   56  -0.0657  0.0046  0.0452  0.0489  0.0164  0.02
Kushner 1989   55  -0.0690  0.0061  0.0375  0.0389  0.0157  0.02
Luisada 1991   31  -0.0255  0.0042  0.0341  0.0988  0.0237  0.04
Lushtak 2004   45  -0.0427  0.0158  0.0368  0.0389  0.0170  0.02
Malcuzynski 1961   79  -0.1071  0.0076  0.0373  0.0390  0.0160  0.02
Magaloff 1978   3  0.0230  0.0011  0.087  0.4788  0.026  0.10
Magin 1975   60  -0.0788  0.0049  0.0451  0.0489  0.0155  0.02
Michalowski 1933   7  0.012  0.152  0.151  0.5988  0.025  0.11
Milkina 1970   35  -0.0356  0.0052  0.0362  0.0390  0.0159  0.02
Mohovich 1999   36  -0.0337  0.0055  0.0460  0.0489  0.0173  0.02
Moravec 1969   46  -0.047  0.047  0.0715  0.3489  0.0217  0.08
Morozova 2008   5  0.0229  0.0012  0.0810  0.4588  0.0213  0.09
Neighaus 1950   76  -0.0969  0.0082  0.0287  0.0290  0.0189  0.01
Niedzielski 1931   83  -0.1148  0.0065  0.0367  0.0389  0.0154  0.02
Ohlsson 1999   19  0.0028  0.0122  0.0619  0.3289  0.0218  0.08
Osinska 1989   69  -0.0858  0.0073  0.0372  0.0390  0.0150  0.02
Pachmann 1927   17  0.004  0.054  0.103  0.5588  0.028  0.10
Paderewski 1930   78  -0.1031  0.0043  0.0344  0.0790  0.0140  0.03
Perlemuter 1992   58  -0.0726  0.0164  0.0364  0.0389  0.0149  0.02
Pierdomenico 2008   54  -0.068  0.046  0.0728  0.2389  0.0221  0.07
Poblocka 1999   42  -0.0449  0.0031  0.0730  0.2188  0.0129  0.05
Rabcewiczowa 1932   13  0.0033  0.0039  0.0440  0.1088  0.0238  0.04
Rachmaninoff 1923   9  0.0132  0.0010  0.095  0.5088  0.027  0.10
Rangell 2001   28  -0.019  0.0434  0.0734  0.1690  0.0139  0.04
Richter 1976   57  -0.0715  0.0218  0.0924  0.2790  0.0132  0.05
Rosen 1989   50  -0.0644  0.0045  0.0450  0.0489  0.0171  0.02
Rosenthal 1930   26  -0.0113  0.0216  0.0714  0.3789  0.0215  0.09
Rosenthal 1931   33  -0.0259  0.0035  0.0632  0.1988  0.0224  0.06
Rosenthal 1931b   37  -0.0389  0.0032  0.0629  0.2288  0.0222  0.07
Rosenthal 1931c   39  -0.0367  0.0048  0.0447  0.0488  0.0247  0.03
Rosenthal 1931d   11  0.0014  0.0217  0.098  0.4687  0.0211  0.10
Rossi 2007   84  -0.1236  0.0062  0.0374  0.0389  0.0151  0.02
Rubinstein 1939   62  -0.0741  0.0078  0.0279  0.0290  0.0182  0.01
Rubinstein 1952   23  -0.0178  0.0054  0.0545  0.0589  0.0178  0.02
Rubinstein 1966   41  -0.0363  0.0068  0.0458  0.0489  0.0166  0.02
Schilhawsky 1960   14  0.006  0.055  0.099  0.4689  0.029  0.10
Shebanova 2002   44  -0.0451  0.0057  0.0459  0.0488  0.0242  0.03
Smith 1975   89  -0.1568  0.0089  0.0189  0.0190  0.0181  0.01
Sokolov 2002   1  0.063  0.063  0.152  0.5688  0.024  0.11
Sztompka 1959   53  -0.0653  0.0072  0.0366  0.0390  0.0163  0.02
Tomsic 1995   70  -0.0925  0.0159  0.0369  0.0390  0.0162  0.02
Uninsky 1932   20  -0.0145  0.009  0.076  0.4988  0.0210  0.10
Uninsky 1971   67  -0.0865  0.0038  0.0537  0.1190  0.0141  0.03
Wasowski 1980   88  -0.1550  0.0090  0.0190  0.0190  0.0180  0.01
Zak 1937   34  -0.0361  0.0053  0.0449  0.0489  0.0158  0.02
Zak 1951   29  -0.0270  0.0051  0.0454  0.0489  0.0161  0.02
Random 1   59  -0.0719  0.0127  0.0635  0.1544  0.093  0.12
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   47  -0.045  0.058  0.0716  0.3325  0.241  0.28

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).