Rabcewiczowa 1932

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.5780  0.0033  0.0726  0.2841  0.1438  0.20
Anderszewski 2003   57  0.4873  0.0066  0.0378  0.0362  0.0485  0.03
Ashkenazy 1981   53  0.4938  0.0050  0.0463  0.0452  0.0664  0.05
Bacha 2000   58  0.4859  0.0062  0.0556  0.0532  0.2146  0.10
Badura 1965   79  0.4224  0.0173  0.0387  0.0376  0.0487  0.03
Barbosa 1983   76  0.4262  0.0027  0.0532  0.2128  0.4127  0.29
Biret 1990   4  0.655  0.054  0.154  0.5611  0.495  0.52
Blet 2003   73  0.4450  0.0063  0.0559  0.0534  0.1950  0.10
Block 1995   74  0.4322  0.0161  0.0558  0.0566  0.0475  0.04
Blumental 1952   1  0.671  0.271  0.265  0.535  0.524  0.52
Boshniakovich 1969   66  0.4686  0.0074  0.0383  0.0383  0.0389  0.03
Brailowsky 1960   61  0.4851  0.0068  0.0467  0.0438  0.2347  0.10
Bunin 1987   85  0.3741  0.0084  0.0472  0.0464  0.0476  0.04
Bunin 1987b   86  0.3654  0.0085  0.0470  0.0472  0.0469  0.04
Chiu 1999   41  0.5263  0.0038  0.0740  0.1518  0.3432  0.23
Cohen 1997   78  0.4288  0.0067  0.0475  0.0417  0.3844  0.12
Cortot 1951   77  0.4287  0.0080  0.0379  0.0348  0.0580  0.04
Csalog 1996   56  0.4842  0.0051  0.0462  0.0423  0.3643  0.12
Czerny 1949   50  0.5045  0.0060  0.0845  0.0866  0.0459  0.06
Czerny 1990   8  0.6018  0.018  0.139  0.4929  0.3711  0.43
Duchoud 2007   84  0.3769  0.0083  0.0474  0.0458  0.0574  0.04
Ezaki 2006   44  0.5239  0.0047  0.0461  0.0460  0.0566  0.04
Falvay 1989   27  0.5530  0.0017  0.0819  0.3224  0.4518  0.38
Farrell 1958   18  0.5681  0.0016  0.1213  0.4218  0.4510  0.43
Ferenczy 1958   72  0.4443  0.0075  0.0384  0.0360  0.0486  0.03
Fliere 1977   12  0.5837  0.0013  0.108  0.5139  0.1825  0.30
Fou 1978   7  0.6134  0.009  0.136  0.5311  0.523  0.52
Francois 1956   42  0.5244  0.0030  0.0634  0.2012  0.5424  0.33
Friedman 1923   80  0.4082  0.0082  0.0382  0.0356  0.0582  0.04
Friedman 1923b   81  0.4064  0.0081  0.0386  0.0350  0.0677  0.04
Friedman 1930   65  0.4747  0.0076  0.0385  0.0355  0.0572  0.04
Garcia 2007   25  0.5657  0.0045  0.0552  0.0513  0.5139  0.16
Garcia 2007b   19  0.5628  0.0031  0.0718  0.3323  0.4119  0.37
Gierzod 1998   24  0.5646  0.0026  0.0617  0.3552  0.0640  0.14
Gornostaeva 1994   34  0.5440  0.0041  0.0739  0.1619  0.4131  0.26
Groot 1988   67  0.4652  0.0025  0.0641  0.1262  0.0555  0.08
Harasiewicz 1955   47  0.5120  0.0148  0.0554  0.0568  0.0481  0.04
Hatto 1993   62  0.4729  0.0055  0.0549  0.0576  0.0379  0.04
Hatto 1997   60  0.4865  0.0058  0.0746  0.0779  0.0362  0.05
Horowitz 1949   82  0.3921  0.0186  0.0377  0.0377  0.0484  0.03
Indjic 1988   59  0.4860  0.0057  0.0648  0.0672  0.0461  0.05
Kapell 1951   3  0.658  0.043  0.122  0.6215  0.417  0.50
Kissin 1993   29  0.5533  0.0037  0.0636  0.1845  0.0745  0.11
Kushner 1989   2  0.653  0.112  0.171  0.708  0.631  0.66
Luisada 1991   52  0.4974  0.0053  0.0466  0.0457  0.0567  0.04
Lushtak 2004   23  0.5655  0.0015  0.1115  0.4020  0.4412  0.42
Malcuzynski 1961   70  0.4415  0.0169  0.0471  0.0473  0.0383  0.03
Magaloff 1978   13  0.5875  0.0029  0.0630  0.2416  0.3726  0.30
Magin 1975   35  0.5416  0.0118  0.0814  0.4129  0.3120  0.36
Michalowski 1933   48  0.517  0.0443  0.0542  0.1122  0.3636  0.20
Milkina 1970   9  0.5970  0.0024  0.0625  0.2844  0.1534  0.20
Mohovich 1999   46  0.5183  0.0052  0.0551  0.0551  0.0663  0.05
Moravec 1969   6  0.6132  0.0012  0.0811  0.4413  0.576  0.50
Morozova 2008   26  0.5635  0.0032  0.0629  0.2633  0.2828  0.27
Neighaus 1950   55  0.4858  0.0071  0.0469  0.0445  0.0765  0.05
Niedzielski 1931   54  0.4971  0.0056  0.0553  0.0533  0.2149  0.10
Ohlsson 1999   64  0.4748  0.0065  0.0473  0.0473  0.0471  0.04
Osinska 1989   28  0.5576  0.0039  0.0738  0.1748  0.0842  0.12
Pachmann 1927   49  0.5014  0.0170  0.0380  0.033  0.5941  0.13
Paderewski 1930   39  0.5310  0.0244  0.0444  0.0810  0.5235  0.20
Perlemuter 1992   22  0.5612  0.0219  0.0821  0.3010  0.5216  0.39
Pierdomenico 2008   83  0.3868  0.0079  0.0557  0.0542  0.1852  0.09
Poblocka 1999   38  0.5356  0.0040  0.0737  0.1752  0.0551  0.09
Rabcewiczowa 1932   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rachmaninoff 1923   14  0.572  0.116  0.1412  0.4415  0.3914  0.41
Rangell 2001   71  0.4425  0.0172  0.0468  0.0453  0.0578  0.04
Richter 1976   87  0.3477  0.0087  0.0465  0.0476  0.0470  0.04
Rosen 1989   36  0.5489  0.0035  0.0727  0.2737  0.1933  0.23
Rosenthal 1930   30  0.5531  0.0023  0.0931  0.219  0.5723  0.35
Rosenthal 1931   20  0.5626  0.0122  0.0823  0.2910  0.5715  0.41
Rosenthal 1931b   31  0.5523  0.0121  0.0822  0.3011  0.5913  0.42
Rosenthal 1931c   17  0.574  0.0514  0.1116  0.3910  0.598  0.48
Rosenthal 1931d   37  0.5311  0.0220  0.0628  0.2611  0.6017  0.39
Rossi 2007   68  0.4667  0.0078  0.0476  0.0443  0.1356  0.07
Rubinstein 1939   32  0.5527  0.0128  0.0620  0.3117  0.3921  0.35
Rubinstein 1952   11  0.5913  0.015  0.1810  0.4819  0.469  0.47
Rubinstein 1966   33  0.5478  0.0034  0.0635  0.1939  0.2237  0.20
Schilhawsky 1960   40  0.5349  0.0042  0.0543  0.1048  0.0754  0.08
Shebanova 2002   10  0.5919  0.0110  0.137  0.5236  0.2422  0.35
Smith 1975   63  0.4784  0.0059  0.0647  0.0642  0.1648  0.10
Sokolov 2002   69  0.4672  0.0064  0.0460  0.0453  0.0568  0.04
Sztompka 1959   5  0.636  0.057  0.143  0.6125  0.502  0.55
Tomsic 1995   75  0.4261  0.0077  0.0381  0.0336  0.2153  0.08
Uninsky 1932   15  0.5717  0.0136  0.0633  0.2131  0.3629  0.27
Uninsky 1971   51  0.5036  0.0054  0.0550  0.0561  0.0560  0.05
Wasowski 1980   21  0.569  0.0311  0.0924  0.2936  0.2330  0.26
Zak 1937   43  0.5290  0.0049  0.0464  0.0446  0.0857  0.06
Zak 1951   45  0.5266  0.0046  0.0555  0.0546  0.0758  0.06
Random 1   90  -0.1185  0.0089  0.0289  0.0245  0.0588  0.03
Random 2   88  0.0053  0.0088  0.0288  0.0240  0.1073  0.04
Random 3   89  -0.1079  0.0090  0.0190  0.0174  0.0490  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).