Rosenthal 1931d

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.329  0.006  0.337  0.7013  0.558  0.62
Anderszewski 2003   41  0.1565  0.0030  0.0734  0.3243  0.1126  0.19
Ashkenazy 1981   37  0.1635  0.0034  0.0731  0.3751  0.0728  0.16
Bacha 2000   19  0.2425  0.0025  0.0928  0.4036  0.2119  0.29
Badura 1965   40  0.1536  0.0033  0.0932  0.3739  0.1722  0.25
Barbosa 1983   45  0.1355  0.0057  0.0363  0.0373  0.0472  0.03
Biret 1990   70  0.0747  0.0054  0.0369  0.0365  0.0479  0.03
Blet 2003   75  0.0548  0.0064  0.0368  0.0379  0.0373  0.03
Block 1995   66  0.0849  0.0065  0.0371  0.0384  0.0288  0.02
Blumental 1952   29  0.1866  0.0022  0.0923  0.4240  0.1523  0.25
Boshniakovich 1969   47  0.1256  0.0049  0.0549  0.0571  0.0457  0.04
Brailowsky 1960   14  0.2767  0.0019  0.0917  0.5031  0.3715  0.43
Bunin 1987   39  0.1568  0.0044  0.0744  0.1363  0.0544  0.08
Bunin 1987b   36  0.1669  0.0041  0.0841  0.1769  0.0443  0.08
Chiu 1999   65  0.0821  0.0058  0.0456  0.0478  0.0455  0.04
Cohen 1997   13  0.278  0.009  0.159  0.6220  0.529  0.57
Cortot 1951   11  0.2918  0.0014  0.1310  0.5623  0.5111  0.53
Csalog 1996   88  -0.0570  0.0089  0.0288  0.0283  0.0285  0.02
Czerny 1949   23  0.2129  0.0021  0.1320  0.4623  0.6510  0.55
Czerny 1990   68  0.0713  0.0075  0.0375  0.0365  0.0478  0.03
Duchoud 2007   81  0.0237  0.0081  0.0373  0.0389  0.0287  0.02
Ezaki 2006   5  0.366  0.005  0.245  0.7213  0.656  0.68
Falvay 1989   26  0.2050  0.0028  0.0826  0.4140  0.1324  0.23
Farrell 1958   59  0.1038  0.0072  0.0462  0.0476  0.0363  0.03
Ferenczy 1958   9  0.2914  0.0016  0.1613  0.5513  0.777  0.65
Fliere 1977   73  0.0539  0.0066  0.0461  0.0464  0.0552  0.04
Fou 1978   42  0.1457  0.0036  0.0835  0.3179  0.0339  0.10
Francois 1956   18  0.2532  0.0010  0.1814  0.5425  0.5112  0.52
Friedman 1923   51  0.1158  0.0052  0.0552  0.0570  0.0459  0.04
Friedman 1923b   55  0.1071  0.0060  0.0372  0.0369  0.0477  0.03
Friedman 1930   77  0.0572  0.0051  0.0460  0.0483  0.0374  0.03
Garcia 2007   44  0.1310  0.0069  0.0455  0.0484  0.0376  0.03
Garcia 2007b   72  0.0620  0.0045  0.0746  0.0748  0.0846  0.07
Gierzod 1998   10  0.2973  0.0015  0.1212  0.5524  0.4313  0.49
Gornostaeva 1994   35  0.163  0.0118  0.1124  0.4241  0.1920  0.28
Groot 1988   43  0.1374  0.0032  0.0729  0.3871  0.0436  0.12
Harasiewicz 1955   61  0.1075  0.0048  0.0648  0.0678  0.0358  0.04
Hatto 1993   74  0.0533  0.0078  0.0381  0.0383  0.0380  0.03
Hatto 1997   30  0.175  0.0040  0.1136  0.2966  0.0437  0.11
Horowitz 1949   71  0.0659  0.0079  0.0378  0.0379  0.0367  0.03
Indjic 1988   76  0.0560  0.0080  0.0376  0.0381  0.0371  0.03
Kapell 1951   83  0.0240  0.0084  0.0379  0.0380  0.0364  0.03
Kissin 1993   84  0.0141  0.0087  0.0286  0.0284  0.0384  0.02
Kushner 1989   32  0.1776  0.0035  0.0638  0.2575  0.0440  0.10
Luisada 1991   49  0.1234  0.0055  0.0458  0.0479  0.0451  0.04
Lushtak 2004   25  0.2077  0.0037  0.0739  0.2455  0.0538  0.11
Malcuzynski 1961   33  0.1761  0.0039  0.0740  0.2172  0.0441  0.09
Magaloff 1978   53  0.1178  0.0062  0.0453  0.0485  0.0361  0.03
Magin 1975   89  -0.0779  0.0088  0.0189  0.0180  0.0289  0.01
Michalowski 1933   78  0.0562  0.0073  0.0377  0.0373  0.0470  0.03
Milkina 1970   31  0.1715  0.0027  0.0827  0.4143  0.1621  0.26
Mohovich 1999   27  0.2080  0.0029  0.0830  0.3860  0.0531  0.14
Moravec 1969   12  0.2881  0.0020  0.1219  0.4658  0.0430  0.14
Morozova 2008   22  0.2182  0.0023  0.0825  0.4149  0.0627  0.16
Neighaus 1950   24  0.2151  0.0038  0.0837  0.2677  0.0342  0.09
Niedzielski 1931   62  0.0942  0.0050  0.0551  0.0565  0.0550  0.05
Ohlsson 1999   63  0.0926  0.0061  0.0454  0.0476  0.0456  0.04
Osinska 1989   48  0.1227  0.0063  0.0550  0.0574  0.0353  0.04
Pachmann 1927   82  0.0283  0.0083  0.0380  0.0381  0.0369  0.03
Paderewski 1930   60  0.1084  0.0059  0.0374  0.0371  0.0468  0.03
Perlemuter 1992   54  0.1143  0.0046  0.0747  0.0780  0.0349  0.05
Pierdomenico 2008   64  0.0944  0.0077  0.0382  0.0380  0.0362  0.03
Poblocka 1999   80  0.0385  0.0076  0.0383  0.0386  0.0360  0.03
Rabcewiczowa 1932   7  0.3111  0.007  0.196  0.7214  0.705  0.71
Rachmaninoff 1923   17  0.2522  0.0012  0.1111  0.5630  0.3017  0.41
Rangell 2001   15  0.2717  0.0013  0.1515  0.5336  0.1918  0.32
Richter 1976   86  0.0052  0.0086  0.0287  0.0283  0.0383  0.02
Rosen 1989   16  0.2653  0.0017  0.1216  0.5270  0.0334  0.12
Rosenthal 1930   4  0.494  0.004  0.624  0.855  0.784  0.81
Rosenthal 1931   2  0.772  0.022  0.892  0.972  0.972  0.97
Rosenthal 1931b   1  0.871  0.941  0.931  0.992  0.991  0.99
Rosenthal 1931c   3  0.687  0.003  0.823  0.953  0.933  0.94
Rosenthal 1931d   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rossi 2007   87  0.0030  0.0074  0.0370  0.0351  0.0554  0.04
Rubinstein 1939   21  0.2216  0.0024  0.1022  0.4448  0.0825  0.19
Rubinstein 1952   56  0.1054  0.0056  0.0367  0.0377  0.0381  0.03
Rubinstein 1966   20  0.2445  0.0026  0.1021  0.4566  0.0529  0.15
Schilhawsky 1960   58  0.1028  0.0047  0.0745  0.0754  0.0548  0.06
Shebanova 2002   79  0.0346  0.0082  0.0284  0.0282  0.0386  0.02
Smith 1975   34  0.1712  0.0011  0.1418  0.4929  0.3816  0.43
Sokolov 2002   57  0.1031  0.0042  0.0643  0.1474  0.0347  0.06
Sztompka 1959   38  0.1586  0.0043  0.0942  0.1774  0.0345  0.07
Tomsic 1995   28  0.1923  0.0031  0.0833  0.3657  0.0532  0.13
Uninsky 1932   50  0.1187  0.0068  0.0459  0.0486  0.0275  0.03
Uninsky 1971   8  0.3019  0.008  0.238  0.6425  0.3314  0.46
Wasowski 1980   85  0.0088  0.0085  0.0285  0.0282  0.0382  0.02
Zak 1937   52  0.1189  0.0071  0.0364  0.0374  0.0365  0.03
Zak 1951   46  0.1290  0.0053  0.0365  0.0370  0.0466  0.03
Random 1   69  0.0763  0.0067  0.0366  0.036  0.5235  0.12
Random 2   67  0.0824  0.0070  0.0457  0.0419  0.3933  0.12
Random 3   90  -0.1364  0.0090  0.0190  0.0175  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).