Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.5782  0.0034  0.0727  0.2842  0.1439  0.20
Anderszewski 2003   58  0.4883  0.0067  0.0379  0.0363  0.0486  0.03
Ashkenazy 1981   54  0.4933  0.0051  0.0464  0.0453  0.0665  0.05
Bacha 2000   59  0.4857  0.0063  0.0557  0.0533  0.2147  0.10
Badura 1965   80  0.4221  0.0174  0.0388  0.0377  0.0488  0.03
Barbosa 1983   77  0.4263  0.0028  0.0533  0.2129  0.4128  0.29
Biret 1990   5  0.6520  0.015  0.145  0.5612  0.495  0.52
Blet 2003   74  0.4449  0.0064  0.0460  0.0435  0.1952  0.09
Block 1995   75  0.4324  0.0062  0.0459  0.0467  0.0476  0.04
Blumental 1952   2  0.672  0.122  0.266  0.536  0.524  0.52
Boshniakovich 1969   67  0.4687  0.0075  0.0384  0.0384  0.0389  0.03
Brailowsky 1960   62  0.4850  0.0069  0.0468  0.0439  0.2348  0.10
Bunin 1987   86  0.3737  0.0085  0.0473  0.0465  0.0477  0.04
Bunin 1987b   87  0.3659  0.0086  0.0471  0.0473  0.0470  0.04
Chiu 1999   42  0.5264  0.0039  0.0641  0.1519  0.3433  0.23
Cohen 1997   79  0.4289  0.0068  0.0476  0.0418  0.3844  0.12
Cortot 1951   78  0.4288  0.0081  0.0380  0.0349  0.0581  0.04
Csalog 1996   57  0.4839  0.0052  0.0463  0.0424  0.3643  0.12
Czerny 1949   51  0.5044  0.0061  0.0846  0.0867  0.0460  0.06
Czerny 1990   9  0.6051  0.009  0.1310  0.4930  0.3712  0.43
Duchoud 2007   85  0.3769  0.0084  0.0475  0.0459  0.0575  0.04
Ezaki 2006   45  0.5235  0.0048  0.0462  0.0461  0.0467  0.04
Falvay 1989   28  0.5527  0.0018  0.0820  0.3225  0.4519  0.38
Farrell 1958   19  0.5679  0.0017  0.1214  0.4219  0.4511  0.43
Ferenczy 1958   73  0.4441  0.0076  0.0385  0.0361  0.0487  0.03
Fliere 1977   13  0.5838  0.0014  0.109  0.5140  0.1826  0.30
Fou 1978   8  0.6142  0.0010  0.137  0.5312  0.523  0.52
Francois 1956   43  0.5245  0.0031  0.0635  0.2013  0.5425  0.33
Friedman 1923   81  0.4080  0.0083  0.0383  0.0357  0.0583  0.04
Friedman 1923b   82  0.4084  0.0082  0.0387  0.0351  0.0678  0.04
Friedman 1930   66  0.4747  0.0077  0.0386  0.0356  0.0573  0.04
Garcia 2007   26  0.5662  0.0046  0.0553  0.0514  0.5140  0.16
Garcia 2007b   20  0.5630  0.0032  0.0719  0.3324  0.4120  0.37
Gierzod 1998   25  0.5646  0.0027  0.0618  0.3553  0.0641  0.14
Gornostaeva 1994   35  0.5436  0.0042  0.0740  0.1620  0.4132  0.26
Groot 1988   68  0.4653  0.0026  0.0642  0.1263  0.0556  0.08
Harasiewicz 1955   48  0.5117  0.0149  0.0555  0.0569  0.0482  0.04
Hatto 1993   63  0.4740  0.0056  0.0550  0.0577  0.0380  0.04
Hatto 1997   61  0.4865  0.0059  0.0747  0.0780  0.0363  0.05
Horowitz 1949   83  0.3919  0.0187  0.0378  0.0378  0.0485  0.03
Indjic 1988   60  0.4860  0.0058  0.0649  0.0673  0.0462  0.05
Kapell 1951   4  0.657  0.044  0.123  0.6216  0.417  0.50
Kissin 1993   30  0.5534  0.0038  0.0637  0.1846  0.0746  0.11
Kushner 1989   3  0.656  0.043  0.172  0.709  0.631  0.66
Luisada 1991   53  0.4973  0.0054  0.0467  0.0458  0.0568  0.04
Lushtak 2004   24  0.5654  0.0016  0.1116  0.4021  0.4413  0.42
Malcuzynski 1961   71  0.4413  0.0170  0.0472  0.0474  0.0384  0.03
Magaloff 1978   14  0.5874  0.0030  0.0631  0.2417  0.3727  0.30
Magin 1975   36  0.5414  0.0119  0.0815  0.4130  0.3121  0.36
Michalowski 1933   49  0.514  0.0444  0.0543  0.1123  0.3637  0.20
Milkina 1970   10  0.5970  0.0025  0.0626  0.2845  0.1535  0.20
Mohovich 1999   47  0.5181  0.0053  0.0552  0.0552  0.0664  0.05
Moravec 1969   7  0.6129  0.0013  0.0712  0.4414  0.576  0.50
Morozova 2008   27  0.5631  0.0033  0.0630  0.2634  0.2829  0.27
Neighaus 1950   56  0.4855  0.0072  0.0470  0.0446  0.0766  0.05
Niedzielski 1931   55  0.4971  0.0057  0.0554  0.0534  0.2150  0.10
Ohlsson 1999   65  0.4758  0.0066  0.0474  0.0474  0.0472  0.04
Osinska 1989   29  0.5575  0.0040  0.0739  0.1749  0.0745  0.11
Pachmann 1927   50  0.5012  0.0171  0.0381  0.034  0.5942  0.13
Paderewski 1930   40  0.539  0.0245  0.0445  0.0811  0.5236  0.20
Perlemuter 1992   23  0.5610  0.0220  0.0822  0.3011  0.5217  0.39
Pierdomenico 2008   84  0.3868  0.0080  0.0458  0.0443  0.1853  0.08
Poblocka 1999   39  0.5356  0.0041  0.0738  0.1753  0.0551  0.09
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   15  0.573  0.047  0.1413  0.4416  0.3915  0.41
Rangell 2001   72  0.4425  0.0073  0.0469  0.0454  0.0579  0.04
Richter 1976   88  0.3476  0.0088  0.0466  0.0477  0.0471  0.04
Rosen 1989   37  0.5490  0.0036  0.0628  0.2738  0.1934  0.23
Rosenthal 1930   31  0.5528  0.0024  0.0932  0.2110  0.5724  0.35
Rosenthal 1931   21  0.5623  0.0123  0.0824  0.2911  0.5716  0.41
Rosenthal 1931b   32  0.5522  0.0122  0.0823  0.3012  0.5914  0.42
Rosenthal 1931c   18  0.575  0.0415  0.1117  0.3911  0.599  0.48
Rosenthal 1931d   38  0.5315  0.0121  0.0629  0.2612  0.6018  0.39
Rossi 2007   69  0.4667  0.0079  0.0477  0.0444  0.1357  0.07
Rubinstein 1939   33  0.5526  0.0029  0.0621  0.3118  0.3922  0.35
Rubinstein 1952   12  0.5943  0.006  0.1811  0.4820  0.4610  0.47
Rubinstein 1966   34  0.5477  0.0035  0.0636  0.1940  0.2238  0.20
Schilhawsky 1960   41  0.5348  0.0043  0.0544  0.1049  0.0755  0.08
Shebanova 2002   11  0.5918  0.0111  0.138  0.5237  0.2423  0.35
Smith 1975   64  0.4785  0.0060  0.0648  0.0643  0.1649  0.10
Sokolov 2002   70  0.4672  0.0065  0.0461  0.0454  0.0569  0.04
Sztompka 1959   6  0.638  0.028  0.144  0.6126  0.502  0.55
Tomsic 1995   76  0.4261  0.0078  0.0382  0.0337  0.2154  0.08
Uninsky 1932   16  0.5716  0.0137  0.0634  0.2132  0.3630  0.27
Uninsky 1971   52  0.5032  0.0055  0.0551  0.0562  0.0561  0.05
Wasowski 1980   22  0.5611  0.0112  0.0925  0.2937  0.2331  0.26
Zak 1937   44  0.5291  0.0050  0.0465  0.0447  0.0858  0.06
Zak 1951   46  0.5266  0.0047  0.0556  0.0547  0.0759  0.06
Average   1  0.721  0.421  0.421  0.7831  0.328  0.50
Random 1   91  -0.1186  0.0090  0.0190  0.0146  0.0590  0.02
Random 2   89  0.0052  0.0089  0.0289  0.0239  0.1074  0.04
Random 3   90  -0.1078  0.0091  0.0191  0.0178  0.0391  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).