Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.4460  0.0039  0.0928  0.2771  0.0428  0.10
Anderszewski 2003   28  0.4518  0.0026  0.0624  0.3278  0.0327  0.10
Ashkenazy 1981   45  0.3880  0.0034  0.0638  0.2185  0.0339  0.08
Bacha 2000   47  0.3847  0.0030  0.0540  0.1882  0.0340  0.07
Badura 1965   84  0.2581  0.0075  0.0374  0.0368  0.0560  0.04
Barbosa 1983   87  0.2282  0.0057  0.0654  0.0681  0.0355  0.04
Biret 1990   21  0.4642  0.0021  0.1020  0.4287  0.0323  0.11
Blet 2003   49  0.3839  0.0049  0.0845  0.0877  0.0348  0.05
Block 1995   66  0.327  0.0053  0.0558  0.0576  0.0461  0.04
Blumental 1952   18  0.4753  0.0010  0.158  0.6060  0.0414  0.15
Boshniakovich 1969   55  0.3568  0.0071  0.0381  0.0384  0.0378  0.03
Brailowsky 1960   13  0.509  0.0014  0.169  0.5824  0.416  0.49
Bunin 1987   85  0.2416  0.0082  0.0286  0.0281  0.0387  0.02
Bunin 1987b   86  0.2334  0.0083  0.0383  0.0383  0.0368  0.03
Chiu 1999   83  0.2561  0.0056  0.0462  0.0482  0.0365  0.03
Cohen 1997   81  0.2669  0.0029  0.0543  0.1546  0.0635  0.09
Cortot 1951   64  0.3370  0.0077  0.0380  0.0386  0.0289  0.02
Csalog 1996   31  0.4412  0.0024  0.0625  0.3051  0.0521  0.12
Czerny 1949   43  0.3962  0.0051  0.0656  0.0677  0.0359  0.04
Czerny 1990   12  0.5083  0.008  0.1211  0.5568  0.0415  0.15
Duchoud 2007   79  0.2784  0.0070  0.0369  0.0375  0.0376  0.03
Ezaki 2006   24  0.4626  0.0018  0.1612  0.5567  0.0413  0.15
Falvay 1989   17  0.4830  0.0017  0.1418  0.4753  0.0611  0.17
Farrell 1958   52  0.376  0.0045  0.0746  0.0770  0.0446  0.05
Ferenczy 1958   56  0.3571  0.0066  0.0464  0.0486  0.0275  0.03
Fliere 1977   16  0.4835  0.0020  0.1122  0.3980  0.0322  0.11
Fou 1978   35  0.4419  0.0022  0.1121  0.4078  0.0419  0.13
Francois 1956   60  0.3363  0.0058  0.0461  0.0479  0.0381  0.03
Friedman 1923   68  0.3285  0.0064  0.0373  0.0376  0.0483  0.03
Friedman 1923b   67  0.3243  0.0061  0.0463  0.0477  0.0462  0.04
Friedman 1930   57  0.3520  0.0065  0.0467  0.0485  0.0374  0.03
Garcia 2007   72  0.3186  0.0078  0.0378  0.0387  0.0377  0.03
Garcia 2007b   61  0.3354  0.0073  0.0375  0.0372  0.0482  0.03
Gierzod 1998   20  0.4787  0.0036  0.0626  0.2986  0.0237  0.08
Gornostaeva 1994   9  0.5372  0.0011  0.1714  0.5256  0.0417  0.14
Groot 1988   51  0.3713  0.0025  0.0635  0.2383  0.0430  0.10
Harasiewicz 1955   54  0.3617  0.0050  0.0648  0.0664  0.0450  0.05
Hatto 1993   77  0.3055  0.0062  0.0468  0.0487  0.0380  0.03
Hatto 1997   75  0.3188  0.0068  0.0652  0.0685  0.0357  0.04
Horowitz 1949   65  0.3336  0.0074  0.0379  0.0371  0.0470  0.03
Indjic 1988   74  0.3127  0.0067  0.0466  0.0487  0.0373  0.03
Kapell 1951   14  0.5021  0.0023  0.0723  0.3384  0.0325  0.10
Kissin 1993   34  0.4473  0.0032  0.0530  0.2670  0.0426  0.10
Kushner 1989   19  0.4731  0.0040  0.0736  0.2279  0.0336  0.08
Luisada 1991   41  0.3922  0.0048  0.0651  0.0683  0.0351  0.04
Lushtak 2004   59  0.3323  0.0033  0.0641  0.1683  0.0344  0.07
Malcuzynski 1961   23  0.4656  0.0041  0.0833  0.2485  0.0241  0.07
Magaloff 1978   11  0.5114  0.0016  0.1515  0.5151  0.0610  0.17
Magin 1975   8  0.5348  0.009  0.137  0.6364  0.0412  0.16
Michalowski 1933   39  0.4074  0.0055  0.0647  0.0671  0.0447  0.05
Milkina 1970   10  0.5140  0.0019  0.1019  0.4681  0.0320  0.12
Mohovich 1999   29  0.4515  0.0035  0.0729  0.2666  0.0429  0.10
Moravec 1969   5  0.5928  0.005  0.476  0.646  0.635  0.63
Morozova 2008   46  0.3875  0.0047  0.0653  0.0681  0.0356  0.04
Neighaus 1950   69  0.3276  0.0080  0.0372  0.0371  0.0479  0.03
Niedzielski 1931   25  0.4537  0.0012  0.1313  0.5240  0.159  0.28
Ohlsson 1999   48  0.3849  0.0052  0.0557  0.0587  0.0354  0.04
Osinska 1989   26  0.455  0.0038  0.0732  0.2583  0.0331  0.09
Pachmann 1927   62  0.3350  0.0084  0.0285  0.0278  0.0385  0.02
Paderewski 1930   73  0.3157  0.0081  0.0382  0.0369  0.0371  0.03
Perlemuter 1992   63  0.3325  0.0063  0.0371  0.0364  0.0464  0.03
Pierdomenico 2008   80  0.2789  0.0087  0.0465  0.0486  0.0366  0.03
Poblocka 1999   22  0.4610  0.0042  0.0834  0.2468  0.0424  0.10
Rabcewiczowa 1932   6  0.5658  0.007  0.3510  0.5723  0.298  0.41
Rachmaninoff 1923   7  0.5324  0.006  0.325  0.6827  0.287  0.44
Rangell 2001   58  0.3432  0.0072  0.0376  0.0386  0.0288  0.02
Richter 1976   82  0.2551  0.0085  0.0287  0.0281  0.0384  0.02
Rosen 1989   32  0.4444  0.0043  0.0939  0.2080  0.0338  0.08
Rosenthal 1930   4  0.774  0.014  0.774  0.884  0.894  0.88
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.921  0.881  0.871  0.962  0.962  0.96
Rosenthal 1931c   3  0.873  0.023  0.833  0.943  0.943  0.94
Rosenthal 1931d   2  0.882  0.072  0.772  0.962  0.971  0.96
Rossi 2007   71  0.3164  0.0069  0.0459  0.0459  0.0452  0.04
Rubinstein 1939   38  0.4045  0.0031  0.0527  0.2878  0.0333  0.09
Rubinstein 1952   27  0.4565  0.0013  0.1417  0.4770  0.0418  0.14
Rubinstein 1966   37  0.4190  0.0046  0.0650  0.0662  0.0549  0.05
Schilhawsky 1960   42  0.3946  0.0027  0.0637  0.2165  0.0434  0.09
Shebanova 2002   40  0.4059  0.0054  0.0655  0.0684  0.0358  0.04
Smith 1975   15  0.4911  0.0015  0.1516  0.5061  0.0416  0.14
Sokolov 2002   30  0.4477  0.0037  0.0631  0.2684  0.0332  0.09
Sztompka 1959   36  0.4329  0.0044  0.0842  0.1686  0.0342  0.07
Tomsic 1995   76  0.3066  0.0076  0.0384  0.0378  0.0469  0.03
Uninsky 1932   44  0.3878  0.0028  0.0644  0.1372  0.0443  0.07
Uninsky 1971   78  0.2979  0.0086  0.0377  0.0387  0.0372  0.03
Wasowski 1980   70  0.3141  0.0079  0.0370  0.0372  0.0463  0.03
Zak 1937   50  0.3752  0.0059  0.0460  0.0487  0.0267  0.03
Zak 1951   53  0.368  0.0060  0.0649  0.0685  0.0353  0.04
Random 1   89  -0.1267  0.0089  0.0289  0.0272  0.0286  0.02
Random 2   88  -0.0238  0.0088  0.0288  0.0232  0.1945  0.06
Random 3   90  -0.1533  0.0090  0.0190  0.0187  0.0290  0.01

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).