Lympany 1968

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.6438  0.0050  0.0839  0.0842  0.0748  0.07
Ashkenazy 1981   25  0.6839  0.0015  0.1123  0.3538  0.0823  0.17
Beliavsky 2004   50  0.6219  0.0031  0.0731  0.1427  0.1531  0.14
BenOr 1989   5  0.7413  0.015  0.314  0.6533  0.1013  0.25
Biret 1990   32  0.6723  0.0027  0.0727  0.2421  0.339  0.28
Blet 2003   20  0.6936  0.0034  0.0937  0.0945  0.0546  0.07
Block 1995   14  0.7016  0.0118  0.0817  0.4120  0.444  0.42
Brailowsky 1960   54  0.6125  0.0055  0.0458  0.0445  0.0758  0.05
Chiu 1999   47  0.6353  0.0048  0.0742  0.0734  0.0942  0.08
Clidat 1994   11  0.714  0.027  0.188  0.5326  0.205  0.33
Cohen 1997   62  0.5032  0.0057  0.0362  0.0317  0.4735  0.12
Coop 1987   3  0.762  0.052  0.402  0.7928  0.252  0.44
Cortot 1951   59  0.5734  0.0062  0.0457  0.0429  0.2439  0.10
Czerny 1949   38  0.6621  0.0033  0.0649  0.0636  0.0754  0.06
Czerny 1949b   34  0.6735  0.0035  0.0936  0.0944  0.0645  0.07
Ezaki 2006   10  0.7129  0.0020  0.1012  0.4841  0.0720  0.18
Falvay 1989   9  0.7220  0.008  0.175  0.6434  0.1012  0.25
Ferenczy 1958   48  0.6324  0.0053  0.0556  0.0533  0.1147  0.07
Fiorentino 1962   29  0.6854  0.0037  0.0935  0.0949  0.0650  0.07
Fliere 1977   8  0.7217  0.019  0.139  0.5243  0.0718  0.19
Fou 1978   35  0.6760  0.0038  0.1134  0.1150  0.0741  0.09
Francois 1956   55  0.619  0.0154  0.0555  0.0550  0.0560  0.05
Hatto 1997   41  0.6447  0.0043  0.0748  0.0746  0.0653  0.06
Horowitz 1971   26  0.688  0.0117  0.0822  0.369  0.513  0.43
Horowitz 1985   61  0.5730  0.0056  0.0459  0.0421  0.3633  0.12
Indjic 2001   43  0.6445  0.0045  0.0746  0.0751  0.0656  0.06
Kapell 1951   15  0.6965  0.0021  0.0918  0.3947  0.0627  0.15
Kiepura 1999   33  0.6715  0.0140  0.0838  0.0842  0.0644  0.07
Kilenyi 1937   28  0.6810  0.0122  0.1120  0.3848  0.0628  0.15
Kissin 1993   6  0.7322  0.006  0.227  0.5939  0.0717  0.20
Kitain 1937   63  0.4148  0.0063  0.0651  0.0625  0.2436  0.12
Kushner 1990   13  0.7027  0.0014  0.1111  0.4927  0.168  0.28
Levy 1951   49  0.6228  0.0041  0.0840  0.0819  0.4021  0.18
Luisada 1990   44  0.6346  0.0049  0.0744  0.0752  0.0655  0.06
Lushtak 2004   4  0.765  0.023  0.366  0.6210  0.581  0.60
Lympany 1968   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977   51  0.6156  0.0058  0.0360  0.0356  0.0562  0.04
Magaloff 1977b   52  0.6142  0.0059  0.0364  0.0354  0.0564  0.04
Magin 1975   23  0.6837  0.0032  0.0732  0.1347  0.0640  0.09
Milkina 1970   17  0.6941  0.0030  0.0829  0.2131  0.1226  0.16
Mohovich 1999   31  0.6758  0.0028  0.1025  0.3128  0.2310  0.27
Nadelmann 1956   36  0.6614  0.0124  0.0928  0.2437  0.0732  0.13
Ohlsson 1999   37  0.6643  0.0029  0.0730  0.1938  0.0734  0.12
Olejniczac 1990   27  0.6864  0.0036  0.1233  0.1248  0.0643  0.08
Olejniczak 1991   16  0.6966  0.0016  0.1315  0.4536  0.0915  0.20
Osinska 1989   2  0.767  0.024  0.273  0.7141  0.0814  0.24
Paderewski 1912   39  0.6662  0.0039  0.0743  0.0729  0.1438  0.10
Perahia 1994   53  0.6112  0.0142  0.0841  0.0822  0.3622  0.17
Perlemuter 1986   21  0.6931  0.0010  0.1313  0.4834  0.0816  0.20
Poblocka 1999   12  0.7049  0.0019  0.0916  0.4251  0.0529  0.14
Rangell 2001   24  0.6844  0.0023  0.0921  0.3636  0.0824  0.17
Risler 1920   58  0.5863  0.0060  0.0361  0.0351  0.0661  0.04
Rosen 1989   46  0.6311  0.0151  0.0650  0.0636  0.0849  0.07
Rubinstein 1939   57  0.596  0.0244  0.0652  0.0622  0.3530  0.14
Rubinstein 1952   30  0.673  0.0213  0.1119  0.3929  0.266  0.32
Rubinstein 1966   45  0.6350  0.0047  0.0745  0.0736  0.0652  0.06
Rummel 1943   60  0.5761  0.0052  0.0554  0.0535  0.0659  0.05
Shebanova 2002   7  0.7240  0.0012  0.1110  0.5037  0.0719  0.19
Smith 1975   19  0.6918  0.0026  0.0826  0.2648  0.0537  0.11
Szpilman 1948   40  0.6526  0.0046  0.0747  0.0753  0.0551  0.06
Uninsky 1971   18  0.6933  0.0011  0.1014  0.4827  0.197  0.30
Wasowski 1980   56  0.6055  0.0061  0.0553  0.0551  0.0557  0.05
Weissenberg 1971   22  0.6957  0.0025  0.1024  0.3136  0.0825  0.16
Average   1  0.821  0.701  0.691  0.8236  0.0811  0.26
Random 1    65  -0.0552  0.0065  0.0265  0.0256  0.0365  0.02
Random 2   64  0.0351  0.0064  0.0363  0.0342  0.0563  0.04
Random 3   66  -0.0859  0.0066  0.0166  0.0143  0.0566  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).