Farrell 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.6314  0.0145  0.0472  0.0480  0.0385  0.03
Anderszewski 2003   34  0.6032  0.0042  0.0540  0.1141  0.0944  0.10
Ashkenazy 1981   27  0.6261  0.0053  0.0555  0.0566  0.0378  0.04
Bacha 2000   11  0.6779  0.0031  0.0630  0.2217  0.3418  0.27
Badura 1965   85  0.3957  0.0083  0.0387  0.0381  0.0386  0.03
Barbosa 1983   59  0.5437  0.0047  0.0559  0.0548  0.0660  0.05
Biret 1990   1  0.762  0.192  0.361  0.592  0.541  0.56
Blet 2003   50  0.5673  0.0058  0.0647  0.0671  0.0373  0.04
Block 1995   57  0.5511  0.0215  0.0824  0.2616  0.3516  0.30
Blumental 1952   48  0.5718  0.0124  0.0533  0.2013  0.3220  0.25
Boshniakovich 1969   44  0.5987  0.0043  0.0443  0.0945  0.0750  0.08
Brailowsky 1960   15  0.6670  0.0033  0.0832  0.2021  0.3519  0.26
Bunin 1987   79  0.4378  0.0084  0.0386  0.0363  0.0487  0.03
Bunin 1987b   81  0.4356  0.0085  0.0378  0.0363  0.0481  0.03
Chiu 1999   43  0.5950  0.0040  0.0537  0.1233  0.2027  0.15
Cohen 1997   70  0.4836  0.0062  0.0477  0.0415  0.3140  0.11
Cortot 1951   26  0.6249  0.0041  0.0538  0.1223  0.3025  0.19
Csalog 1996   84  0.3967  0.0086  0.0381  0.0356  0.0572  0.04
Czerny 1949   62  0.5427  0.0061  0.0648  0.0662  0.0564  0.05
Czerny 1990   16  0.6533  0.0020  0.0519  0.2766  0.0447  0.10
Duchoud 2007   51  0.5616  0.0164  0.0473  0.0459  0.0476  0.04
Ezaki 2006   17  0.656  0.0519  0.0535  0.1856  0.0448  0.08
Falvay 1989   21  0.647  0.0317  0.0616  0.3120  0.4010  0.35
Farrell 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ferenczy 1958   64  0.5284  0.0075  0.0385  0.0365  0.0484  0.03
Fliere 1977   8  0.6789  0.0028  0.0721  0.2660  0.0443  0.10
Fou 1978   25  0.6262  0.0023  0.0620  0.2653  0.0536  0.11
Francois 1956   29  0.6126  0.0018  0.0618  0.2836  0.2123  0.24
Friedman 1923   82  0.4390  0.0073  0.0382  0.0347  0.0767  0.05
Friedman 1923b   78  0.4468  0.0072  0.0383  0.0342  0.1354  0.06
Friedman 1930   75  0.4581  0.0071  0.0557  0.0559  0.0562  0.05
Garcia 2007   33  0.6117  0.0114  0.0715  0.344  0.546  0.43
Garcia 2007b   65  0.5139  0.009  0.1113  0.364  0.517  0.43
Gierzod 1998   13  0.6635  0.0027  0.0528  0.2455  0.0446  0.10
Gornostaeva 1994   31  0.6145  0.0054  0.0646  0.0654  0.0565  0.05
Groot 1988   2  0.714  0.083  0.164  0.5215  0.493  0.50
Harasiewicz 1955   66  0.5043  0.0055  0.0744  0.0783  0.0366  0.05
Hatto 1993   63  0.5347  0.0077  0.0653  0.0647  0.0655  0.06
Hatto 1997   47  0.5830  0.0070  0.0556  0.0579  0.0374  0.04
Horowitz 1949   55  0.5572  0.0069  0.0468  0.0446  0.0657  0.05
Indjic 1988   60  0.5485  0.0076  0.0380  0.0347  0.0671  0.04
Kapell 1951   49  0.5766  0.0044  0.0445  0.0775  0.0456  0.05
Kissin 1993   53  0.5642  0.0056  0.0652  0.0682  0.0370  0.04
Kushner 1989   18  0.6575  0.0029  0.0622  0.2658  0.0537  0.11
Luisada 1991   12  0.6620  0.0130  0.0627  0.2444  0.0829  0.14
Lushtak 2004   9  0.6740  0.008  0.119  0.4231  0.2017  0.29
Malcuzynski 1961   45  0.5864  0.0066  0.0474  0.0470  0.0469  0.04
Magaloff 1978   4  0.705  0.054  0.136  0.499  0.474  0.48
Magin 1975   69  0.4955  0.0078  0.0467  0.0475  0.0380  0.03
Michalowski 1933   87  0.3688  0.0080  0.0476  0.0460  0.0659  0.05
Milkina 1970   6  0.6846  0.0011  0.0712  0.3736  0.1621  0.24
Mohovich 1999   10  0.6782  0.0013  0.077  0.4540  0.1322  0.24
Moravec 1969   54  0.5659  0.0052  0.0560  0.0532  0.2634  0.11
Morozova 2008   37  0.6041  0.0022  0.0625  0.2562  0.0445  0.10
Neighaus 1950   3  0.7115  0.017  0.203  0.5234  0.2013  0.32
Niedzielski 1931   40  0.6022  0.0139  0.0539  0.1218  0.3524  0.20
Ohlsson 1999   20  0.659  0.0238  0.0541  0.1154  0.0551  0.07
Osinska 1989   5  0.691  0.251  0.252  0.5811  0.482  0.53
Pachmann 1927   68  0.4974  0.0074  0.0379  0.0341  0.1058  0.05
Paderewski 1930   28  0.6113  0.0110  0.098  0.435  0.445  0.43
Perlemuter 1992   42  0.593  0.085  0.1410  0.4126  0.2611  0.33
Pierdomenico 2008   56  0.5538  0.0035  0.0529  0.2312  0.4412  0.32
Poblocka 1999   61  0.5480  0.0067  0.0464  0.0483  0.0379  0.03
Rabcewiczowa 1932   36  0.6028  0.0016  0.0814  0.3519  0.389  0.36
Rachmaninoff 1923   30  0.6110  0.0212  0.0711  0.3826  0.2314  0.30
Rangell 2001   71  0.4844  0.0036  0.0636  0.1344  0.0941  0.11
Richter 1976   86  0.3863  0.0087  0.0470  0.0484  0.0282  0.03
Rosen 1989   24  0.6331  0.0037  0.0634  0.2045  0.0832  0.13
Rosenthal 1930   73  0.4765  0.0079  0.0561  0.0570  0.0377  0.04
Rosenthal 1931   77  0.4477  0.0063  0.0475  0.0433  0.1849  0.08
Rosenthal 1931b   74  0.4752  0.0059  0.0649  0.0625  0.3130  0.14
Rosenthal 1931c   72  0.4729  0.0065  0.0471  0.0441  0.1152  0.07
Rosenthal 1931d   67  0.4953  0.0060  0.0554  0.0526  0.2542  0.11
Rossi 2007   83  0.4154  0.0068  0.0463  0.0420  0.3135  0.11
Rubinstein 1939   32  0.6134  0.0046  0.0466  0.0411  0.3933  0.12
Rubinstein 1952   52  0.5676  0.0034  0.0642  0.1128  0.3126  0.18
Rubinstein 1966   7  0.6823  0.0132  0.0731  0.2219  0.4215  0.30
Schilhawsky 1960   58  0.558  0.0257  0.0651  0.0664  0.0461  0.05
Shebanova 2002   35  0.6019  0.0149  0.0558  0.0572  0.0475  0.04
Smith 1975   14  0.6625  0.006  0.135  0.5118  0.358  0.42
Sokolov 2002   46  0.5812  0.0150  0.0465  0.0444  0.0853  0.06
Sztompka 1959   19  0.6560  0.0021  0.0517  0.3150  0.0728  0.15
Tomsic 1995   39  0.6058  0.0048  0.0650  0.0632  0.2731  0.13
Uninsky 1932   76  0.4551  0.0082  0.0462  0.0448  0.0663  0.05
Uninsky 1971   80  0.4369  0.0081  0.0384  0.0373  0.0483  0.03
Wasowski 1980   38  0.6024  0.0051  0.0469  0.0462  0.0568  0.04
Zak 1937   23  0.6348  0.0025  0.0423  0.2663  0.0538  0.11
Zak 1951   41  0.5921  0.0126  0.0626  0.2564  0.0539  0.11
Random 1   90  -0.1486  0.0090  0.0190  0.0166  0.0389  0.02
Random 2   89  -0.0971  0.0088  0.0288  0.0267  0.0388  0.02
Random 3   88  -0.0283  0.0089  0.0189  0.0171  0.0390  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).