Rosenthal 1931

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.3554  0.0032  0.0632  0.2167  0.0336  0.08
Anderszewski 2003   12  0.4611  0.009  0.1215  0.4629  0.246  0.33
Ashkenazy 1981   35  0.3433  0.0042  0.0442  0.1262  0.0442  0.07
Bacha 2000   47  0.3234  0.0058  0.0456  0.0446  0.0647  0.05
Badura 1965   53  0.3035  0.0033  0.0538  0.1547  0.0632  0.09
Barbosa 1983   70  0.224  0.0076  0.0282  0.0283  0.0280  0.02
Biret 1990   74  0.2136  0.0082  0.0286  0.0285  0.0287  0.02
Blet 2003   68  0.2355  0.0073  0.0377  0.0384  0.0281  0.02
Block 1995   24  0.3756  0.0034  0.0533  0.2071  0.0337  0.08
Blumental 1952   75  0.2026  0.0069  0.0455  0.0463  0.0458  0.04
Boshniakovich 1969   58  0.2721  0.0047  0.0548  0.0580  0.0359  0.04
Brailowsky 1960   5  0.4857  0.005  0.148  0.5416  0.415  0.47
Bunin 1987   27  0.3758  0.0043  0.0641  0.1259  0.0443  0.07
Bunin 1987b   26  0.3759  0.0041  0.0539  0.1360  0.0441  0.07
Chiu 1999   67  0.2437  0.0055  0.0459  0.0457  0.0451  0.04
Cohen 1997   37  0.3427  0.0027  0.0624  0.2817  0.378  0.32
Cortot 1951   46  0.3238  0.0065  0.0460  0.0465  0.0460  0.04
Csalog 1996   85  0.0960  0.0090  0.0190  0.0180  0.0290  0.01
Czerny 1949   49  0.3122  0.0026  0.0626  0.2377  0.0335  0.08
Czerny 1990   63  0.2528  0.0078  0.0361  0.0379  0.0374  0.03
Duchoud 2007   59  0.2661  0.0074  0.0380  0.0387  0.0284  0.02
Ezaki 2006   7  0.479  0.0010  0.185  0.6341  0.1012  0.25
Falvay 1989   21  0.3839  0.0024  0.1022  0.3682  0.0326  0.10
Farrell 1958   38  0.3462  0.0049  0.0646  0.0666  0.0353  0.04
Ferenczy 1958   45  0.326  0.0044  0.0544  0.0943  0.1129  0.10
Fliere 1977   30  0.3616  0.0039  0.0837  0.1787  0.0244  0.06
Fou 1978   14  0.4417  0.0014  0.099  0.5342  0.1510  0.28
Francois 1956   25  0.3763  0.0025  0.0820  0.3685  0.0240  0.08
Friedman 1923   82  0.1340  0.0070  0.0370  0.0364  0.0561  0.04
Friedman 1923b   83  0.1264  0.0072  0.0374  0.0347  0.0748  0.05
Friedman 1930   78  0.1865  0.0061  0.0369  0.0364  0.0473  0.03
Garcia 2007   81  0.1566  0.0081  0.0285  0.0284  0.0285  0.02
Garcia 2007b   84  0.1167  0.0068  0.0368  0.0380  0.0288  0.02
Gierzod 1998   10  0.4723  0.008  0.1413  0.4949  0.0614  0.17
Gornostaeva 1994   11  0.4641  0.0015  0.1211  0.5340  0.1411  0.27
Groot 1988   17  0.4042  0.0011  0.1114  0.4667  0.0324  0.12
Harasiewicz 1955   20  0.3968  0.0017  0.0918  0.4469  0.0325  0.11
Hatto 1993   62  0.2569  0.0067  0.0373  0.0374  0.0375  0.03
Hatto 1997   55  0.2843  0.0056  0.0362  0.0354  0.0557  0.04
Horowitz 1949   43  0.3370  0.0023  0.0925  0.2851  0.0521  0.12
Indjic 1988   69  0.2371  0.0075  0.0367  0.0380  0.0371  0.03
Kapell 1951   65  0.2472  0.0080  0.0365  0.0385  0.0276  0.02
Kissin 1993   33  0.3573  0.0029  0.0730  0.2275  0.0431  0.09
Kushner 1989   6  0.4774  0.0018  0.1119  0.3768  0.0420  0.12
Luisada 1991   50  0.3129  0.0062  0.0364  0.0376  0.0362  0.03
Lushtak 2004   52  0.3175  0.0040  0.0540  0.1281  0.0346  0.06
Malcuzynski 1961   8  0.4776  0.0013  0.097  0.5758  0.0416  0.15
Magaloff 1978   9  0.4777  0.006  0.156  0.5850  0.0713  0.20
Magin 1975   29  0.3678  0.0036  0.0631  0.2149  0.0527  0.10
Michalowski 1933   87  0.0644  0.0083  0.0281  0.0286  0.0279  0.02
Milkina 1970   15  0.4379  0.0016  0.1016  0.4535  0.209  0.30
Mohovich 1999   18  0.3980  0.0012  0.0917  0.4582  0.0323  0.12
Moravec 1969   40  0.3314  0.0052  0.0454  0.0458  0.0450  0.04
Morozova 2008   16  0.4245  0.0019  0.1410  0.5362  0.0417  0.15
Neighaus 1950   36  0.3446  0.0038  0.0835  0.1869  0.0439  0.08
Niedzielski 1931   66  0.2424  0.0066  0.0371  0.0373  0.0367  0.03
Ohlsson 1999   54  0.2881  0.0071  0.0375  0.0388  0.0278  0.02
Osinska 1989   64  0.2582  0.0077  0.0283  0.0276  0.0463  0.03
Pachmann 1927   72  0.2247  0.0051  0.0547  0.0572  0.0356  0.04
Paderewski 1930   60  0.2683  0.0063  0.0372  0.0383  0.0277  0.02
Perlemuter 1992   44  0.3218  0.0035  0.0734  0.1973  0.0333  0.08
Pierdomenico 2008   61  0.2684  0.0048  0.0549  0.0567  0.0352  0.04
Poblocka 1999   71  0.2248  0.0085  0.0378  0.0382  0.0364  0.03
Rabcewiczowa 1932   73  0.2230  0.0057  0.0458  0.0476  0.0368  0.03
Rachmaninoff 1923   31  0.3612  0.0021  0.0921  0.3646  0.0518  0.13
Rangell 2001   22  0.3819  0.0022  0.1223  0.3450  0.0519  0.13
Richter 1976   41  0.3331  0.0046  0.0551  0.0577  0.0355  0.04
Rosen 1989   23  0.387  0.0037  0.0536  0.1753  0.0438  0.08
Rosenthal 1930   4  0.6110  0.004  0.464  0.803  0.754  0.77
Rosenthal 1931   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931b   1  0.941  0.991  0.981  1.001  0.991  0.99
Rosenthal 1931c   3  0.752  0.003  0.863  0.952  0.923  0.93
Rosenthal 1931d   2  0.863  0.002  0.902  0.972  0.972  0.97
Rossi 2007   80  0.1649  0.0060  0.0366  0.0362  0.0366  0.03
Rubinstein 1939   32  0.3520  0.0020  0.0928  0.228  0.487  0.32
Rubinstein 1952   57  0.2785  0.0053  0.0550  0.0556  0.0649  0.05
Rubinstein 1966   19  0.395  0.0030  0.0829  0.2262  0.0528  0.10
Schilhawsky 1960   42  0.3350  0.0059  0.0457  0.0482  0.0372  0.03
Shebanova 2002   77  0.198  0.0079  0.0379  0.0388  0.0283  0.02
Smith 1975   13  0.4515  0.007  0.1212  0.5148  0.0515  0.16
Sokolov 2002   28  0.3786  0.0045  0.0452  0.0483  0.0365  0.03
Sztompka 1959   76  0.1932  0.0064  0.0363  0.0377  0.0470  0.03
Tomsic 1995   39  0.3413  0.0028  0.0627  0.2379  0.0334  0.08
Uninsky 1932   79  0.1787  0.0084  0.0284  0.0280  0.0382  0.02
Uninsky 1971   51  0.3151  0.0031  0.0643  0.1263  0.0345  0.06
Wasowski 1980   86  0.0952  0.0088  0.0188  0.0186  0.0289  0.01
Zak 1937   56  0.2753  0.0054  0.0453  0.0476  0.0369  0.03
Zak 1951   48  0.3288  0.0050  0.0645  0.0678  0.0354  0.04
Random 1   88  0.0325  0.0087  0.0287  0.027  0.4630  0.10
Random 2   89  0.0389  0.0086  0.0376  0.032  0.4522  0.12
Random 3   90  -0.0390  0.0089  0.0189  0.0155  0.0386  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).