Rosenthal 1931b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.3846  0.007  0.367  0.806  0.658  0.72
Anderszewski 2003   16  0.3147  0.0014  0.1313  0.6712  0.5811  0.62
Ashkenazy 1981   38  0.1848  0.0039  0.1338  0.3447  0.0830  0.16
Bacha 2000   15  0.3120  0.0021  0.1215  0.6622  0.4516  0.54
Badura 1965   24  0.2632  0.0016  0.1420  0.6014  0.5315  0.56
Barbosa 1983   47  0.1533  0.0062  0.0463  0.0479  0.0368  0.03
Biret 1990   87  -0.0234  0.0088  0.0288  0.0288  0.0289  0.02
Blet 2003   80  0.0449  0.0078  0.0279  0.0289  0.0191  0.01
Block 1995   54  0.1116  0.0053  0.0468  0.0483  0.0372  0.03
Blumental 1952   26  0.2550  0.0023  0.1224  0.5236  0.2524  0.36
Boshniakovich 1969   53  0.1235  0.0048  0.1046  0.1076  0.0353  0.05
Brailowsky 1960   12  0.3415  0.0013  0.1412  0.7112  0.609  0.65
Bunin 1987   65  0.0851  0.0079  0.0281  0.0279  0.0387  0.02
Bunin 1987b   61  0.0952  0.0074  0.0376  0.0382  0.0363  0.03
Chiu 1999   43  0.1653  0.0052  0.0553  0.0582  0.0355  0.04
Cohen 1997   14  0.315  0.008  0.1511  0.7113  0.5810  0.64
Cortot 1951   13  0.3354  0.0024  0.1221  0.5925  0.4817  0.53
Csalog 1996   88  -0.0355  0.0087  0.0287  0.0283  0.0285  0.02
Czerny 1949   31  0.2236  0.0025  0.1227  0.5026  0.6214  0.56
Czerny 1990   84  0.0221  0.0084  0.0285  0.0275  0.0388  0.02
Duchoud 2007   78  0.0456  0.0069  0.0469  0.0485  0.0271  0.03
Ezaki 2006   6  0.427  0.006  0.396  0.819  0.677  0.74
Falvay 1989   32  0.2212  0.0036  0.1135  0.4168  0.0339  0.11
Farrell 1958   46  0.1557  0.0050  0.0651  0.0674  0.0356  0.04
Ferenczy 1958   7  0.404  0.009  0.188  0.804  0.855  0.82
Fliere 1977   63  0.0922  0.0056  0.0557  0.0587  0.0354  0.04
Fou 1978   28  0.2413  0.0030  0.1126  0.5059  0.0433  0.14
Francois 1956   34  0.208  0.0018  0.1325  0.5029  0.4218  0.46
Friedman 1923   50  0.1358  0.0057  0.0459  0.0467  0.0560  0.04
Friedman 1923b   58  0.1159  0.0064  0.0466  0.0476  0.0373  0.03
Friedman 1930   67  0.0860  0.0051  0.0652  0.0670  0.0452  0.05
Garcia 2007   41  0.1761  0.0047  0.0848  0.0864  0.0548  0.06
Garcia 2007b   83  0.0362  0.0067  0.0464  0.0469  0.0459  0.04
Gierzod 1998   5  0.4563  0.005  0.305  0.843  0.806  0.82
Gornostaeva 1994   40  0.1764  0.0045  0.0841  0.1553  0.0643  0.09
Groot 1988   62  0.0965  0.0043  0.0645  0.1283  0.0349  0.06
Harasiewicz 1955   48  0.1466  0.0054  0.0462  0.0486  0.0375  0.03
Hatto 1993   56  0.1167  0.0065  0.0460  0.0482  0.0374  0.03
Hatto 1997   39  0.1768  0.0042  0.0643  0.1578  0.0347  0.07
Horowitz 1949   82  0.0369  0.0081  0.0377  0.0381  0.0364  0.03
Indjic 1988   71  0.0770  0.0080  0.0282  0.0281  0.0384  0.02
Kapell 1951   85  0.0017  0.0086  0.0286  0.0286  0.0281  0.02
Kissin 1993   70  0.0737  0.0077  0.0375  0.0381  0.0467  0.03
Kushner 1989   29  0.2323  0.0033  0.1034  0.4259  0.0534  0.14
Luisada 1991   69  0.0738  0.0082  0.0371  0.0385  0.0277  0.02
Lushtak 2004   17  0.3171  0.0022  0.1417  0.6323  0.3119  0.44
Malcuzynski 1961   27  0.2539  0.0032  0.1529  0.4847  0.0727  0.18
Magaloff 1978   49  0.1472  0.0046  0.0749  0.0774  0.0451  0.05
Magin 1975   90  -0.0573  0.0089  0.0190  0.0185  0.0290  0.01
Michalowski 1933   81  0.0374  0.0076  0.0378  0.0380  0.0466  0.03
Milkina 1970   33  0.2075  0.0037  0.1136  0.3947  0.0826  0.18
Mohovich 1999   20  0.2976  0.0017  0.1316  0.6640  0.2223  0.38
Moravec 1969   22  0.2824  0.0029  0.1231  0.4571  0.0435  0.13
Morozova 2008   19  0.2910  0.0026  0.1222  0.5365  0.0528  0.16
Neighaus 1950   30  0.2277  0.0035  0.0937  0.3684  0.0245  0.08
Niedzielski 1931   45  0.1678  0.0038  0.1139  0.3474  0.0437  0.12
Ohlsson 1999   59  0.1079  0.0063  0.0465  0.0488  0.0265  0.03
Osinska 1989   57  0.1180  0.0055  0.0461  0.0482  0.0361  0.03
Pachmann 1927   76  0.0581  0.0075  0.0283  0.0283  0.0383  0.02
Paderewski 1930   60  0.1025  0.0059  0.0554  0.0576  0.0457  0.04
Perlemuter 1992   55  0.116  0.0049  0.1047  0.1055  0.0546  0.07
Pierdomenico 2008   77  0.0540  0.0083  0.0284  0.0286  0.0280  0.02
Poblocka 1999   75  0.0582  0.0066  0.0467  0.0486  0.0362  0.03
Rabcewiczowa 1932   25  0.2626  0.0020  0.1318  0.6225  0.5412  0.58
Rachmaninoff 1923   36  0.2027  0.0034  0.1232  0.4477  0.0338  0.11
Rangell 2001   18  0.3028  0.0015  0.1519  0.6230  0.2921  0.42
Richter 1976   73  0.0618  0.0085  0.0280  0.0286  0.0282  0.02
Rosen 1989   21  0.2941  0.0027  0.1023  0.5250  0.0529  0.16
Rosenthal 1930   4  0.509  0.004  0.424  0.873  0.804  0.83
Rosenthal 1931   1  0.911  0.911  0.901  1.001  1.001  1.00
Rosenthal 1931b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosenthal 1931c   3  0.753  0.003  0.883  0.961  0.953  0.95
Rosenthal 1931d   2  0.872  0.082  0.892  0.991  0.992  0.99
Rossi 2007   86  0.0042  0.0061  0.0650  0.0670  0.0450  0.05
Rubinstein 1939   23  0.2783  0.0031  0.1230  0.4737  0.1425  0.26
Rubinstein 1952   74  0.0684  0.0068  0.0555  0.0583  0.0276  0.03
Rubinstein 1966   11  0.3511  0.0012  0.1414  0.6626  0.2720  0.42
Schilhawsky 1960   64  0.0885  0.0071  0.0470  0.0475  0.0458  0.04
Shebanova 2002   68  0.0729  0.0073  0.0374  0.0381  0.0370  0.03
Smith 1975   37  0.1843  0.0019  0.1128  0.4933  0.3522  0.41
Sokolov 2002   72  0.0619  0.0070  0.0373  0.0387  0.0179  0.02
Sztompka 1959   44  0.1686  0.0044  0.0642  0.1566  0.0542  0.09
Tomsic 1995   35  0.2030  0.0028  0.1133  0.4273  0.0436  0.13
Uninsky 1932   52  0.1387  0.0058  0.0458  0.0483  0.0369  0.03
Uninsky 1971   10  0.3544  0.0011  0.2510  0.7315  0.4313  0.56
Wasowski 1980   89  -0.0488  0.0090  0.0289  0.0287  0.0278  0.02
Zak 1937   51  0.1314  0.0041  0.0644  0.1368  0.0544  0.08
Zak 1951   42  0.1689  0.0040  0.1140  0.2368  0.0440  0.10
Average   9  0.3645  0.0010  0.209  0.7786  0.0331  0.15
Random 1   79  0.0490  0.0072  0.0372  0.0316  0.3641  0.10
Random 2   66  0.0831  0.0060  0.0556  0.0515  0.4432  0.15
Random 3   91  -0.1291  0.0091  0.0191  0.0167  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).