Wasowski 1980

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   20  0.9336  0.0028  0.0546  0.0527  0.1142  0.07
Bacha 1997   18  0.9424  0.0020  0.1320  0.3626  0.1912  0.26
Barbosa 1983   25  0.9347  0.0027  0.0547  0.0534  0.0747  0.06
Biret 1990   16  0.9435  0.0015  0.0813  0.4120  0.487  0.44
Block 1995   38  0.9030  0.0038  0.0639  0.068  0.4027  0.15
Brailowsky 1960   5  0.9648  0.003  0.179  0.4919  0.406  0.44
Chiu 1999   21  0.935  0.0533  0.0640  0.0624  0.1834  0.10
Clidat 1994   12  0.9533  0.0016  0.1017  0.3730  0.0725  0.16
Cohen 1997   30  0.9221  0.0131  0.0638  0.0619  0.2329  0.12
Cortot 1951   23  0.9325  0.0021  0.1421  0.2820  0.4710  0.36
Csalog 1996   13  0.9431  0.0017  0.1212  0.4435  0.0919  0.20
Czerny 1990   28  0.9329  0.0013  0.1015  0.3921  0.2511  0.31
Ezaki 2006   31  0.9226  0.0029  0.0548  0.0522  0.2133  0.10
Ferenczy 1958   40  0.898  0.0342  0.1126  0.1137  0.0638  0.08
Fliere 1977   7  0.9510  0.035  0.1110  0.497  0.513  0.50
Fou 1978   36  0.9118  0.0139  0.0928  0.0913  0.3722  0.18
Francois 1956   26  0.9343  0.0030  0.0733  0.0738  0.0745  0.07
Grinberg 1951   35  0.9122  0.0136  0.0732  0.0731  0.1135  0.09
Hatto 1993   8  0.9517  0.0111  0.147  0.5228  0.1117  0.24
Hatto 1997   9  0.9519  0.0110  0.146  0.5228  0.1213  0.25
Indjic 2001   10  0.9513  0.029  0.154  0.5228  0.1214  0.25
Jonas 1947   6  0.959  0.0312  0.1611  0.4739  0.0820  0.19
Kapell 1951   19  0.9315  0.0225  0.0625  0.1243  0.0736  0.09
Kiepura 1999   39  0.9046  0.0040  0.0929  0.0917  0.2824  0.16
Kushner 1989   11  0.952  0.108  0.128  0.5016  0.532  0.51
Luisada 1991   33  0.9238  0.0024  0.0624  0.1327  0.1032  0.11
Lushtak 2004   24  0.9316  0.0132  0.0641  0.0636  0.0548  0.05
Magaloff 1978   44  0.8344  0.0043  0.0734  0.0738  0.0546  0.06
Meguri 1997   15  0.9442  0.0018  0.1119  0.3632  0.1021  0.19
Milkina 1970   41  0.894  0.0626  0.0545  0.0520  0.2830  0.12
Mohovich 1999   37  0.9120  0.0137  0.0736  0.0726  0.1040  0.08
Niedzielski 1931   17  0.9450  0.007  0.1214  0.4023  0.329  0.36
Ohlsson 1999   34  0.927  0.0423  0.0823  0.1419  0.2323  0.18
Olejniczak 1990   2  0.973  0.072  0.335  0.525  0.521  0.52
Osinska 1989   32  0.9211  0.0314  0.1316  0.395  0.654  0.50
Rangell 2001   46  0.8127  0.0044  0.0549  0.0529  0.0943  0.07
Richter 1976   42  0.886  0.0541  0.1027  0.1031  0.0837  0.09
Rubinstein 1938   45  0.8249  0.0046  0.0637  0.0642  0.0549  0.05
Rubinstein 1952   43  0.8439  0.0045  0.0544  0.0517  0.3031  0.12
Rubinstein 1961   47  0.8041  0.0047  0.0643  0.0621  0.4126  0.16
Rubinstein 1966   48  0.7932  0.0048  0.0642  0.0623  0.4028  0.15
Shebanova 2002   29  0.9228  0.0022  0.0822  0.1719  0.2818  0.22
Smidowicz 1948   3  0.9634  0.004  0.162  0.5329  0.1216  0.25
Smidowicz 1948b   4  0.9637  0.006  0.153  0.5229  0.1215  0.25
Smith 1975   49  0.7714  0.0249  0.0735  0.0728  0.1039  0.08
Sofronitsky 1949   27  0.9340  0.0035  0.0830  0.0836  0.0741  0.07
Sztompka 1959   14  0.9412  0.0319  0.1318  0.377  0.468  0.41
Tomsic 1995   1  0.971  0.301  0.291  0.5615  0.415  0.48
Uninsky 1971   22  0.9323  0.0134  0.0831  0.0835  0.0744  0.07
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   50  0.0551  0.0050  0.0350  0.0331  0.0550  0.04
Random 2   52  -0.0545  0.0052  0.0252  0.0241  0.0552  0.03
Random 3   51  0.0452  0.0051  0.0351  0.0342  0.0551  0.04

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).