Harasiewicz 1955

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.4782  0.0048  0.0545  0.0544  0.0865  0.06
Anderszewski 2003   36  0.544  0.044  0.0713  0.3814  0.4612  0.42
Ashkenazy 1981   32  0.5516  0.0223  0.0720  0.3321  0.3421  0.33
Bacha 2000   83  0.2174  0.0076  0.0386  0.0341  0.1164  0.06
Badura 1965   23  0.5743  0.0041  0.0539  0.1426  0.3138  0.21
Barbosa 1983   49  0.4778  0.0060  0.0546  0.0561  0.0472  0.04
Biret 1990   67  0.3776  0.0063  0.0369  0.0356  0.0487  0.03
Blet 2003   46  0.4867  0.0052  0.0453  0.0448  0.0573  0.04
Block 1995   37  0.5331  0.0132  0.0532  0.198  0.3829  0.27
Blumental 1952   77  0.2514  0.0282  0.0378  0.0349  0.0485  0.03
Boshniakovich 1969   39  0.5342  0.0033  0.0536  0.1612  0.3735  0.24
Brailowsky 1960   33  0.5570  0.0049  0.0551  0.0525  0.2844  0.12
Bunin 1987   4  0.6410  0.0311  0.074  0.457  0.495  0.47
Bunin 1987b   5  0.6412  0.0212  0.113  0.467  0.494  0.47
Chiu 1999   42  0.5065  0.0070  0.0382  0.0345  0.0671  0.04
Cohen 1997   80  0.2447  0.0083  0.0363  0.0351  0.0486  0.03
Cortot 1951   66  0.3757  0.0073  0.0461  0.0460  0.0576  0.04
Csalog 1996   86  0.0984  0.0086  0.0384  0.0372  0.0383  0.03
Czerny 1949   35  0.5540  0.0043  0.0542  0.1035  0.2043  0.14
Czerny 1990   22  0.5766  0.0028  0.0521  0.3221  0.2826  0.30
Duchoud 2007   59  0.4285  0.0054  0.0549  0.0545  0.0669  0.05
Ezaki 2006   3  0.6624  0.0114  0.0711  0.4020  0.3019  0.35
Falvay 1989   14  0.6059  0.0025  0.0526  0.2826  0.2530  0.26
Farrell 1958   71  0.3681  0.0069  0.0367  0.0323  0.2356  0.08
Ferenczy 1958   73  0.3571  0.0077  0.0377  0.0342  0.1068  0.05
Fliere 1977   16  0.5961  0.0022  0.0617  0.3424  0.2427  0.29
Fou 1978   27  0.5617  0.0226  0.0528  0.2523  0.3624  0.30
Francois 1956   38  0.5352  0.0030  0.0633  0.1727  0.2040  0.18
Friedman 1923   85  0.1258  0.0085  0.0370  0.0348  0.0770  0.05
Friedman 1923b   84  0.1263  0.0084  0.0379  0.0363  0.0575  0.04
Friedman 1930   61  0.4138  0.0068  0.0385  0.0333  0.1860  0.07
Garcia 2007   68  0.3732  0.0165  0.0374  0.037  0.4746  0.12
Garcia 2007b   75  0.3262  0.0081  0.0383  0.0327  0.1663  0.07
Gierzod 1998   45  0.4889  0.0047  0.0548  0.0526  0.2150  0.10
Gornostaeva 1994   28  0.5641  0.0029  0.0629  0.2423  0.2832  0.26
Groot 1988   20  0.5713  0.0213  0.1116  0.3415  0.4017  0.37
Harasiewicz 1955   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   79  0.2426  0.0157  0.0371  0.0331  0.1762  0.07
Hatto 1997   76  0.2648  0.0056  0.0452  0.0431  0.1658  0.08
Horowitz 1949   40  0.5246  0.0037  0.0537  0.1513  0.3536  0.23
Indjic 1988   81  0.2336  0.0158  0.0547  0.0534  0.1551  0.09
Kapell 1951   50  0.4725  0.0146  0.0457  0.0427  0.3545  0.12
Kissin 1993   24  0.5728  0.0131  0.0530  0.2226  0.2537  0.23
Kushner 1989   34  0.5520  0.0217  0.0818  0.3327  0.2825  0.30
Luisada 1991   43  0.5037  0.0153  0.0456  0.0437  0.1553  0.08
Lushtak 2004   6  0.6433  0.0115  0.082  0.4612  0.467  0.46
Malcuzynski 1961   9  0.631  0.221  0.221  0.564  0.571  0.56
Magaloff 1978   18  0.5877  0.005  0.0714  0.3820  0.3716  0.37
Magin 1975   26  0.5644  0.0020  0.0625  0.288  0.3722  0.32
Michalowski 1933   58  0.4375  0.0055  0.0462  0.0443  0.1159  0.07
Milkina 1970   57  0.4435  0.0145  0.0454  0.0429  0.2548  0.10
Mohovich 1999   12  0.613  0.052  0.085  0.459  0.4610  0.45
Moravec 1969   65  0.3750  0.0074  0.0373  0.0368  0.0378  0.03
Morozova 2008   21  0.5764  0.0042  0.0543  0.1043  0.1049  0.10
Neighaus 1950   13  0.6018  0.029  0.139  0.4412  0.498  0.46
Niedzielski 1931   82  0.2155  0.0075  0.0381  0.0329  0.1954  0.08
Ohlsson 1999   63  0.409  0.0364  0.0372  0.0346  0.0767  0.05
Osinska 1989   53  0.4656  0.0071  0.0365  0.0369  0.0480  0.03
Pachmann 1927   64  0.3968  0.0059  0.0460  0.0424  0.3247  0.11
Paderewski 1930   60  0.4251  0.0072  0.0364  0.0345  0.0766  0.05
Perlemuter 1992   2  0.735  0.047  0.0910  0.424  0.543  0.48
Pierdomenico 2008   7  0.6329  0.0124  0.0527  0.2712  0.3623  0.31
Poblocka 1999   72  0.3630  0.0166  0.0375  0.0374  0.0381  0.03
Rabcewiczowa 1932   54  0.4654  0.0061  0.0459  0.0432  0.1755  0.08
Rachmaninoff 1923   17  0.5872  0.0019  0.0824  0.289  0.3920  0.33
Rangell 2001   62  0.4145  0.0051  0.0550  0.0544  0.1061  0.07
Richter 1976   11  0.626  0.0310  0.0912  0.402  0.509  0.45
Rosen 1989   48  0.4773  0.0050  0.0455  0.0439  0.1952  0.09
Rosenthal 1930   55  0.4611  0.0339  0.0634  0.1618  0.4231  0.26
Rosenthal 1931   31  0.5534  0.0127  0.0523  0.297  0.5015  0.38
Rosenthal 1931b   44  0.4949  0.0034  0.0431  0.198  0.4428  0.29
Rosenthal 1931c   56  0.458  0.0340  0.0735  0.1616  0.3833  0.25
Rosenthal 1931d   52  0.4687  0.0044  0.0444  0.0714  0.3642  0.16
Rossi 2007   29  0.5515  0.0235  0.0440  0.126  0.3239  0.20
Rubinstein 1939   87  0.0353  0.0087  0.0287  0.0265  0.0482  0.03
Rubinstein 1952   74  0.3322  0.0180  0.0366  0.0356  0.0577  0.04
Rubinstein 1966   78  0.2569  0.0078  0.0376  0.0353  0.0574  0.04
Schilhawsky 1960   10  0.6260  0.0021  0.0715  0.3710  0.4114  0.39
Shebanova 2002   70  0.3686  0.0079  0.0380  0.0362  0.0484  0.03
Smith 1975   1  0.747  0.036  0.096  0.446  0.3713  0.40
Sokolov 2002   19  0.5823  0.0116  0.088  0.445  0.496  0.46
Sztompka 1959   51  0.4779  0.0062  0.0458  0.0436  0.1757  0.08
Tomsic 1995   8  0.6319  0.028  0.117  0.446  0.542  0.49
Uninsky 1932   25  0.5627  0.0136  0.0438  0.1418  0.4234  0.24
Uninsky 1971   30  0.552  0.073  0.0719  0.334  0.5311  0.42
Wasowski 1980   69  0.3621  0.0167  0.0368  0.0356  0.0479  0.03
Zak 1937   41  0.5088  0.0038  0.0541  0.1027  0.2641  0.16
Zak 1951   15  0.6039  0.0018  0.0722  0.3216  0.4018  0.36
Random 1   88  -0.1183  0.0090  0.0190  0.0159  0.0488  0.02
Random 2   90  -0.1890  0.0089  0.0189  0.0182  0.0290  0.01
Random 3   89  -0.1280  0.0088  0.0188  0.0168  0.0389  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).