Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.3889  0.0068  0.0469  0.0486  0.0282  0.03
Anderszewski 2003   20  0.483  0.063  0.139  0.5439  0.254  0.37
Ashkenazy 1981   53  0.3977  0.0055  0.0463  0.0485  0.0383  0.03
Bacha 2000   56  0.3938  0.0051  0.0561  0.0550  0.0550  0.05
Badura 1965   75  0.3176  0.0067  0.0560  0.0580  0.0369  0.04
Barbosa 1983   61  0.3627  0.0025  0.0532  0.3166  0.0440  0.11
Biret 1990   13  0.5023  0.0120  0.1015  0.4667  0.0431  0.14
Blet 2003   71  0.3340  0.0071  0.0472  0.0482  0.0279  0.03
Block 1995   34  0.4446  0.0013  0.0818  0.4326  0.286  0.35
Blumental 1952   66  0.3422  0.0159  0.0557  0.0556  0.0554  0.05
Boshniakovich 1969   9  0.5119  0.019  0.137  0.5457  0.0525  0.16
Brailowsky 1960   84  0.2879  0.0087  0.0386  0.0387  0.0289  0.02
Bunin 1987   65  0.3528  0.0062  0.0380  0.0357  0.0570  0.04
Bunin 1987b   72  0.3390  0.0070  0.0471  0.0464  0.0461  0.04
Chiu 1999   74  0.3262  0.0057  0.0647  0.0667  0.0451  0.05
Cohen 1997   85  0.2750  0.0072  0.0462  0.0442  0.1148  0.07
Cortot 1951   40  0.4445  0.0034  0.0737  0.2730  0.339  0.30
Csalog 1996   63  0.3686  0.0052  0.0470  0.0470  0.0464  0.04
Czerny 1949   23  0.489  0.0319  0.1219  0.4254  0.0624  0.16
Czerny 1990   17  0.4912  0.0317  0.0910  0.5364  0.0526  0.16
Duchoud 2007   38  0.4425  0.0143  0.0744  0.1840  0.1621  0.17
Ezaki 2006   32  0.4511  0.0318  0.1116  0.4647  0.0718  0.18
Falvay 1989   19  0.4873  0.0037  0.0638  0.2739  0.2213  0.24
Farrell 1958   30  0.468  0.038  0.126  0.5739  0.243  0.37
Ferenczy 1958   78  0.2974  0.0082  0.0551  0.0572  0.0366  0.04
Fliere 1977   55  0.3987  0.0050  0.0552  0.0585  0.0357  0.04
Fou 1978   28  0.4654  0.0023  0.0526  0.3866  0.0435  0.12
Francois 1956   35  0.4420  0.0135  0.0635  0.2749  0.0633  0.13
Friedman 1923   86  0.2739  0.0076  0.0377  0.0383  0.0388  0.03
Friedman 1923b   87  0.2768  0.0075  0.0468  0.0481  0.0384  0.03
Friedman 1930   83  0.2834  0.0079  0.0473  0.0480  0.0465  0.04
Garcia 2007   46  0.4180  0.0054  0.0746  0.0764  0.0453  0.05
Garcia 2007b   39  0.4464  0.0047  0.0555  0.0584  0.0372  0.04
Gierzod 1998   11  0.5163  0.0031  0.0824  0.3978  0.0341  0.11
Gornostaeva 1994   8  0.5267  0.0015  0.1420  0.3935  0.1711  0.26
Groot 1988   57  0.3878  0.0041  0.0743  0.1871  0.0445  0.08
Harasiewicz 1955   16  0.495  0.054  0.154  0.5957  0.0522  0.17
Hatto 1993   82  0.2833  0.0066  0.0559  0.0584  0.0371  0.04
Hatto 1997   79  0.2983  0.0065  0.0465  0.0484  0.0381  0.03
Horowitz 1949   70  0.3365  0.0080  0.0382  0.0375  0.0477  0.03
Indjic 1988   77  0.3044  0.0064  0.0384  0.0384  0.0378  0.03
Kapell 1951   5  0.544  0.0511  0.1012  0.5056  0.0523  0.16
Kissin 1993   18  0.4936  0.0033  0.0817  0.4358  0.0527  0.15
Kushner 1989   1  0.581  0.261  0.262  0.7131  0.321  0.48
Luisada 1991   62  0.3675  0.0069  0.0475  0.0477  0.0373  0.03
Lushtak 2004   45  0.4110  0.0316  0.1021  0.3935  0.2210  0.29
Malcuzynski 1961   6  0.5314  0.027  0.1413  0.4823  0.332  0.40
Magaloff 1978   51  0.4018  0.0160  0.0378  0.0377  0.0474  0.03
Magin 1975   24  0.4741  0.0026  0.0527  0.3764  0.0434  0.12
Michalowski 1933   64  0.3558  0.0073  0.0464  0.0464  0.0463  0.04
Milkina 1970   3  0.577  0.045  0.223  0.6049  0.0617  0.19
Mohovich 1999   26  0.4713  0.0236  0.0628  0.3569  0.0438  0.12
Moravec 1969   50  0.4037  0.0074  0.0649  0.0672  0.0356  0.04
Morozova 2008   42  0.4321  0.0128  0.0536  0.2771  0.0443  0.10
Neighaus 1950   21  0.4817  0.0121  0.0529  0.3576  0.0439  0.12
Niedzielski 1931   88  0.2791  0.0081  0.0467  0.0471  0.0376  0.03
Ohlsson 1999   22  0.4856  0.0030  0.0725  0.3873  0.0437  0.12
Osinska 1989   10  0.5143  0.0010  0.158  0.5451  0.0716  0.19
Pachmann 1927   60  0.3761  0.0063  0.0381  0.0340  0.1846  0.07
Paderewski 1930   41  0.4330  0.0022  0.0639  0.2727  0.338  0.30
Perlemuter 1992   54  0.3969  0.0053  0.0550  0.0580  0.0358  0.04
Pierdomenico 2008   15  0.4970  0.0024  0.0531  0.3322  0.405  0.36
Poblocka 1999   29  0.4652  0.0045  0.1041  0.2060  0.0542  0.10
Rabcewiczowa 1932   36  0.4451  0.0046  0.0554  0.0569  0.0460  0.04
Rachmaninoff 1923   80  0.2981  0.0077  0.0476  0.0486  0.0375  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   59  0.3759  0.0061  0.0474  0.0460  0.0562  0.04
Rosen 1989   27  0.4748  0.0044  0.0845  0.1671  0.0544  0.09
Rosenthal 1930   69  0.3331  0.0086  0.0288  0.0288  0.0291  0.02
Rosenthal 1931   67  0.3457  0.0084  0.0287  0.0277  0.0390  0.02
Rosenthal 1931b   73  0.3284  0.0085  0.0385  0.0381  0.0386  0.03
Rosenthal 1931c   68  0.3485  0.0083  0.0379  0.0379  0.0387  0.03
Rosenthal 1931d   76  0.3088  0.0088  0.0383  0.0383  0.0385  0.03
Rossi 2007   52  0.4016  0.0138  0.0642  0.1932  0.2914  0.23
Rubinstein 1939   44  0.4242  0.0042  0.0940  0.2145  0.0929  0.14
Rubinstein 1952   43  0.4229  0.0049  0.0553  0.0560  0.0555  0.05
Rubinstein 1966   37  0.4460  0.0040  0.0634  0.2845  0.1019  0.17
Schilhawsky 1960   81  0.2953  0.0078  0.0466  0.0481  0.0380  0.03
Shebanova 2002   7  0.5215  0.0112  0.0914  0.4660  0.0528  0.15
Smith 1975   47  0.4171  0.0048  0.0556  0.0571  0.0459  0.04
Sokolov 2002   14  0.5049  0.0029  0.0630  0.3448  0.0532  0.13
Sztompka 1959   4  0.566  0.046  0.105  0.5951  0.0715  0.20
Tomsic 1995   33  0.4535  0.0039  0.0533  0.2932  0.347  0.31
Uninsky 1932   49  0.4032  0.0056  0.0558  0.0579  0.0367  0.04
Uninsky 1971   48  0.4126  0.0058  0.0648  0.0665  0.0552  0.05
Wasowski 1980   12  0.5024  0.0114  0.1011  0.5044  0.1312  0.25
Zak 1937   25  0.4747  0.0032  0.0823  0.3972  0.0436  0.12
Zak 1951   31  0.4666  0.0027  0.0622  0.3972  0.0530  0.14
Average   2  0.572  0.152  0.251  0.7573  0.0420  0.17
Random 1   91  -0.0782  0.0090  0.0189  0.0116  0.3949  0.06
Random 2   90  -0.0155  0.0091  0.0191  0.0134  0.1668  0.04
Random 3   89  -0.0172  0.0089  0.0190  0.016  0.4647  0.07

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).