Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.4172  0.0047  0.0548  0.0581  0.0356  0.04
Anderszewski 2003   24  0.482  0.072  0.135  0.4940  0.177  0.29
Ashkenazy 1981   47  0.4174  0.0031  0.0730  0.2577  0.0337  0.09
Bacha 2000   51  0.4024  0.0134  0.0538  0.1571  0.0439  0.08
Badura 1965   74  0.2818  0.0152  0.0547  0.0547  0.0749  0.06
Barbosa 1983   86  0.1537  0.0035  0.0540  0.1471  0.0443  0.07
Biret 1990   14  0.5313  0.0224  0.098  0.4342  0.0914  0.20
Blet 2003   66  0.3238  0.0064  0.0365  0.0372  0.0372  0.03
Block 1995   22  0.491  0.231  0.236  0.479  0.371  0.42
Blumental 1952   71  0.2927  0.0146  0.0545  0.0585  0.0358  0.04
Boshniakovich 1969   13  0.5312  0.0315  0.0711  0.4072  0.0423  0.13
Brailowsky 1960   49  0.4187  0.0044  0.0444  0.0956  0.0447  0.06
Bunin 1987   73  0.2834  0.0080  0.0361  0.0365  0.0559  0.04
Bunin 1987b   75  0.2883  0.0079  0.0364  0.0364  0.0553  0.04
Chiu 1999   76  0.2744  0.0036  0.0535  0.1960  0.0435  0.09
Cohen 1997   88  0.0619  0.0167  0.0381  0.0362  0.0481  0.03
Cortot 1951   38  0.4447  0.0041  0.0539  0.1568  0.0441  0.08
Csalog 1996   43  0.4349  0.0055  0.0453  0.0465  0.0371  0.03
Czerny 1949   64  0.3375  0.0058  0.0457  0.0476  0.0377  0.03
Czerny 1990   53  0.408  0.0433  0.0537  0.1573  0.0344  0.07
Duchoud 2007   15  0.525  0.067  0.109  0.4124  0.246  0.31
Ezaki 2006   48  0.4115  0.0223  0.0922  0.3482  0.0331  0.10
Falvay 1989   34  0.4559  0.0037  0.0541  0.1436  0.3213  0.21
Farrell 1958   59  0.3646  0.0030  0.0729  0.2643  0.1415  0.19
Ferenczy 1958   68  0.3188  0.0077  0.0377  0.0387  0.0289  0.02
Fliere 1977   52  0.4051  0.0042  0.0643  0.1181  0.0346  0.06
Fou 1978   28  0.4745  0.0022  0.0816  0.3755  0.0425  0.12
Francois 1956   30  0.4635  0.0032  0.0631  0.2257  0.0438  0.09
Friedman 1923   80  0.2467  0.0084  0.0368  0.0385  0.0387  0.03
Friedman 1923b   82  0.2379  0.0083  0.0288  0.0276  0.0482  0.03
Friedman 1930   77  0.2743  0.0082  0.0287  0.0277  0.0388  0.02
Garcia 2007   46  0.4162  0.0057  0.0549  0.0573  0.0357  0.04
Garcia 2007b   31  0.4663  0.0061  0.0375  0.0365  0.0486  0.03
Gierzod 1998   33  0.4576  0.0048  0.0450  0.0484  0.0378  0.03
Gornostaeva 1994   4  0.5880  0.009  0.1014  0.3928  0.209  0.28
Groot 1988   19  0.506  0.044  0.147  0.4530  0.264  0.34
Harasiewicz 1955   42  0.4333  0.008  0.1410  0.4149  0.0617  0.16
Hatto 1993   85  0.1568  0.0087  0.0369  0.0382  0.0384  0.03
Hatto 1997   83  0.1784  0.0085  0.0385  0.0381  0.0375  0.03
Horowitz 1949   35  0.4589  0.0038  0.0536  0.1861  0.0536  0.09
Indjic 1988   84  0.1769  0.0086  0.0384  0.0382  0.0369  0.03
Kapell 1951   8  0.579  0.0416  0.0813  0.4041  0.0916  0.19
Kissin 1993   36  0.4426  0.0145  0.0546  0.0584  0.0355  0.04
Kushner 1989   7  0.577  0.046  0.101  0.5738  0.148  0.28
Luisada 1991   67  0.3248  0.0063  0.0460  0.0486  0.0362  0.03
Lushtak 2004   78  0.2523  0.0153  0.0459  0.0487  0.0280  0.03
Malcuzynski 1961   9  0.5539  0.0017  0.0726  0.2930  0.2011  0.24
Magaloff 1978   56  0.3720  0.0174  0.0374  0.0363  0.0552  0.04
Magin 1975   11  0.5421  0.0113  0.1012  0.4067  0.0422  0.13
Michalowski 1933   17  0.5111  0.0328  0.0832  0.2263  0.0533  0.10
Milkina 1970   1  0.624  0.063  0.152  0.5535  0.195  0.32
Mohovich 1999   3  0.6010  0.045  0.123  0.5143  0.1210  0.25
Moravec 1969   61  0.3532  0.0068  0.0373  0.0368  0.0461  0.03
Morozova 2008   60  0.3530  0.0051  0.0456  0.0477  0.0374  0.03
Neighaus 1950   21  0.5014  0.0229  0.1027  0.2853  0.0624  0.13
Niedzielski 1931   72  0.2971  0.0078  0.0363  0.0386  0.0366  0.03
Ohlsson 1999   20  0.5052  0.0025  0.0923  0.3474  0.0426  0.12
Osinska 1989   23  0.4961  0.0019  0.1019  0.3650  0.0521  0.13
Pachmann 1927   55  0.3870  0.0069  0.0383  0.0339  0.1148  0.06
Paderewski 1930   18  0.503  0.0614  0.0828  0.2731  0.1912  0.23
Perlemuter 1992   62  0.3464  0.0056  0.0452  0.0485  0.0363  0.03
Pierdomenico 2008   2  0.6022  0.0110  0.1315  0.3814  0.412  0.39
Poblocka 1999   39  0.4425  0.0143  0.0742  0.1358  0.0540  0.08
Rabcewiczowa 1932   44  0.4278  0.0060  0.0362  0.0385  0.0367  0.03
Rachmaninoff 1923   58  0.3685  0.0050  0.0454  0.0483  0.0364  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   69  0.3054  0.0066  0.0379  0.0357  0.0654  0.04
Rosen 1989   6  0.5731  0.0020  0.0818  0.3680  0.0334  0.10
Rosenthal 1930   37  0.4481  0.0072  0.0380  0.0357  0.0479  0.03
Rosenthal 1931   27  0.4865  0.0070  0.0372  0.0360  0.0470  0.03
Rosenthal 1931b   29  0.4782  0.0071  0.0371  0.0368  0.0485  0.03
Rosenthal 1931c   40  0.4390  0.0075  0.0376  0.0353  0.0560  0.04
Rosenthal 1931d   32  0.4558  0.0073  0.0382  0.0362  0.0483  0.03
Rossi 2007   63  0.3336  0.0049  0.0451  0.0442  0.1242  0.07
Rubinstein 1939   79  0.2560  0.0076  0.0366  0.0374  0.0465  0.03
Rubinstein 1952   70  0.3053  0.0059  0.0370  0.0343  0.1645  0.07
Rubinstein 1966   65  0.3250  0.0054  0.0458  0.0446  0.0650  0.05
Schilhawsky 1960   81  0.2373  0.0081  0.0367  0.0376  0.0473  0.03
Shebanova 2002   12  0.5356  0.0027  0.0917  0.3758  0.0427  0.12
Smith 1975   16  0.5140  0.0018  0.0725  0.3043  0.0818  0.15
Sokolov 2002   10  0.5577  0.0026  0.1324  0.3366  0.0332  0.10
Sztompka 1959   5  0.5716  0.0112  0.094  0.5170  0.0419  0.14
Tomsic 1995   26  0.4829  0.0011  0.1020  0.3625  0.413  0.38
Uninsky 1932   54  0.3855  0.0062  0.0455  0.0482  0.0376  0.03
Uninsky 1971   57  0.3741  0.0065  0.0378  0.0374  0.0468  0.03
Wasowski 1980   25  0.4817  0.0121  0.0721  0.3563  0.0520  0.13
Zak 1937   41  0.4366  0.0040  0.0734  0.2047  0.0628  0.11
Zak 1951   45  0.4157  0.0039  0.0633  0.2146  0.0629  0.11
Random 1   90  -0.2186  0.0089  0.0189  0.0121  0.2651  0.05
Random 2   89  -0.1542  0.0090  0.0190  0.0173  0.0390  0.02
Random 3   87  0.0828  0.0188  0.0286  0.023  0.5930  0.11

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).