Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.3561  0.0050  0.0555  0.0554  0.0547  0.05
Anderszewski 2003   30  0.3544  0.0034  0.0730  0.2570  0.0429  0.10
Ashkenazy 1981   27  0.3562  0.0033  0.0727  0.3246  0.0620  0.14
Bacha 2000   37  0.3314  0.0029  0.0736  0.2163  0.0335  0.08
Badura 1965   48  0.309  0.0048  0.0556  0.0563  0.0460  0.04
Barbosa 1983   55  0.2815  0.0049  0.0461  0.0481  0.0375  0.03
Biret 1990   9  0.436  0.0116  0.1116  0.4766  0.0421  0.14
Blet 2003   16  0.3924  0.0015  0.1314  0.5030  0.2110  0.32
Block 1995   62  0.2713  0.0044  0.0744  0.1365  0.0443  0.07
Blumental 1952   13  0.4020  0.0013  0.1310  0.5457  0.0613  0.18
Boshniakovich 1969   52  0.3045  0.0058  0.0472  0.0476  0.0378  0.03
Brailowsky 1960   8  0.4438  0.009  0.205  0.6331  0.397  0.50
Bunin 1987   29  0.3576  0.0039  0.0629  0.2674  0.0334  0.09
Bunin 1987b   35  0.3435  0.0040  0.0831  0.2476  0.0338  0.08
Chiu 1999   66  0.2563  0.0065  0.0557  0.0585  0.0268  0.03
Cohen 1997   51  0.3064  0.0028  0.0632  0.2361  0.0430  0.10
Cortot 1951   87  0.1346  0.0086  0.0286  0.0271  0.0390  0.02
Csalog 1996   5  0.455  0.016  0.197  0.5838  0.189  0.32
Czerny 1949   80  0.1977  0.0082  0.0283  0.0285  0.0286  0.02
Czerny 1990   46  0.3147  0.0025  0.0724  0.3580  0.0331  0.10
Duchoud 2007   78  0.1978  0.0078  0.0554  0.0572  0.0359  0.04
Ezaki 2006   40  0.3326  0.0055  0.0470  0.0476  0.0363  0.03
Falvay 1989   12  0.4165  0.0022  0.0723  0.3645  0.0616  0.15
Farrell 1958   69  0.2548  0.0066  0.0550  0.0581  0.0351  0.04
Ferenczy 1958   18  0.3949  0.0019  0.0718  0.4543  0.1212  0.23
Fliere 1977   6  0.4436  0.0011  0.1415  0.5047  0.0614  0.17
Fou 1978   25  0.3721  0.0036  0.0638  0.2081  0.0337  0.08
Francois 1956   76  0.2179  0.0067  0.0462  0.0482  0.0380  0.03
Friedman 1923   61  0.2717  0.0052  0.0645  0.0659  0.0548  0.05
Friedman 1923b   54  0.2837  0.0047  0.0552  0.0571  0.0462  0.04
Friedman 1930   42  0.3280  0.0032  0.0828  0.3048  0.0719  0.14
Garcia 2007   82  0.1725  0.0084  0.0380  0.0381  0.0377  0.03
Garcia 2007b   73  0.2328  0.0071  0.0476  0.0486  0.0281  0.03
Gierzod 1998   21  0.3832  0.0024  0.0721  0.3863  0.0426  0.12
Gornostaeva 1994   50  0.3050  0.0043  0.0643  0.1379  0.0345  0.06
Groot 1988   7  0.4412  0.0012  0.189  0.5670  0.0417  0.15
Harasiewicz 1955   36  0.3351  0.0018  0.0826  0.3371  0.0428  0.11
Hatto 1993   15  0.3952  0.0017  0.1317  0.4675  0.0422  0.14
Hatto 1997   20  0.3839  0.0023  0.0920  0.3960  0.0425  0.12
Horowitz 1949   45  0.3266  0.0031  0.0639  0.1928  0.2911  0.23
Indjic 1988   19  0.3953  0.0021  0.1019  0.4272  0.0423  0.13
Kapell 1951   44  0.3281  0.0061  0.0547  0.0572  0.0452  0.04
Kissin 1993   81  0.1767  0.0083  0.0281  0.0285  0.0385  0.02
Kushner 1989   24  0.3754  0.0038  0.0634  0.2269  0.0432  0.09
Luisada 1991   49  0.3033  0.0051  0.0646  0.0684  0.0349  0.04
Lushtak 2004   53  0.3055  0.0026  0.0725  0.3451  0.0524  0.13
Malcuzynski 1961   63  0.2618  0.0027  0.0637  0.2070  0.0339  0.08
Magaloff 1978   23  0.3868  0.0041  0.0640  0.1868  0.0341  0.07
Magin 1975   10  0.4319  0.0014  0.1213  0.5072  0.0418  0.14
Michalowski 1933   83  0.1711  0.0068  0.0559  0.0552  0.0455  0.04
Milkina 1970   43  0.3256  0.0059  0.0467  0.0480  0.0370  0.03
Mohovich 1999   22  0.3857  0.0020  0.0822  0.3780  0.0327  0.11
Moravec 1969   11  0.4227  0.008  0.1612  0.5233  0.218  0.33
Morozova 2008   67  0.2569  0.0069  0.0477  0.0483  0.0376  0.03
Neighaus 1950   75  0.2258  0.0070  0.0460  0.0480  0.0379  0.03
Niedzielski 1931   34  0.3440  0.007  0.188  0.562  0.525  0.54
Ohlsson 1999   65  0.2682  0.0074  0.0471  0.0475  0.0374  0.03
Osinska 1989   47  0.3170  0.0053  0.0473  0.0480  0.0365  0.03
Pachmann 1927   85  0.1583  0.0085  0.0288  0.0287  0.0284  0.02
Paderewski 1930   84  0.1741  0.0080  0.0285  0.0272  0.0383  0.02
Perlemuter 1992   71  0.2484  0.0077  0.0463  0.0476  0.0364  0.03
Pierdomenico 2008   58  0.2822  0.0064  0.0469  0.0464  0.0450  0.04
Poblocka 1999   56  0.2859  0.0046  0.0549  0.0566  0.0546  0.05
Rabcewiczowa 1932   17  0.3929  0.0010  0.1611  0.5349  0.0515  0.16
Rachmaninoff 1923   14  0.4010  0.005  0.276  0.6022  0.446  0.51
Rangell 2001   86  0.1585  0.0087  0.0282  0.0285  0.0289  0.02
Richter 1976   72  0.2486  0.0075  0.0475  0.0488  0.0272  0.03
Rosen 1989   41  0.3216  0.0045  0.0548  0.0585  0.0361  0.04
Rosenthal 1930   4  0.714  0.024  0.824  0.901  0.874  0.88
Rosenthal 1931   2  0.791  0.501  0.492  0.941  0.942  0.94
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.763  0.163  0.703  0.931  0.953  0.94
Rosenthal 1931d   1  0.792  0.292  0.601  0.951  0.951  0.95
Rossi 2007   74  0.2287  0.0079  0.0379  0.0378  0.0367  0.03
Rubinstein 1939   59  0.2834  0.0072  0.0464  0.0482  0.0369  0.03
Rubinstein 1952   28  0.357  0.0042  0.0641  0.1582  0.0344  0.07
Rubinstein 1966   31  0.3430  0.0057  0.0466  0.0477  0.0457  0.04
Schilhawsky 1960   32  0.3471  0.0035  0.0635  0.2170  0.0433  0.09
Shebanova 2002   60  0.2772  0.0054  0.0474  0.0477  0.0458  0.04
Smith 1975   39  0.3373  0.0030  0.0633  0.2275  0.0336  0.08
Sokolov 2002   57  0.2874  0.0060  0.0558  0.0584  0.0266  0.03
Sztompka 1959   79  0.1931  0.0076  0.0465  0.0479  0.0373  0.03
Tomsic 1995   68  0.2560  0.0073  0.0378  0.0380  0.0371  0.03
Uninsky 1932   64  0.2688  0.0037  0.0642  0.1460  0.0442  0.07
Uninsky 1971   70  0.2542  0.0062  0.0551  0.0585  0.0356  0.04
Wasowski 1980   77  0.2089  0.0081  0.0284  0.0285  0.0382  0.02
Zak 1937   38  0.3323  0.0063  0.0553  0.0572  0.0453  0.04
Zak 1951   33  0.348  0.0056  0.0468  0.0475  0.0454  0.04
Random 1   90  -0.0590  0.0089  0.0189  0.0152  0.0487  0.02
Random 2   88  0.0175  0.0088  0.0287  0.0222  0.3040  0.08
Random 3   89  -0.0443  0.0090  0.0190  0.0174  0.0388  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).