fixed script, added graphs
This commit is contained in:
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8f72e70527
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554489e2db
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057D94F356F41E25
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*******************************************************************************
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Wed Aug 30 21:11:12 2017
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FIT: data read from "20170830-evolution1D_5x5_100Times.csv" every ::1 using 2:5
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: f(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 4.26014e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707238
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initial set of free parameter values
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a = 1
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b = 1
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After 5 iterations the fit converged.
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final sum of squares of residuals : 226345
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rel. change during last iteration : -1.70837e-09
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 48.0587
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variance of residuals (reduced chisquare) = WSSR/ndf : 2309.64
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -6597.96 +/- 2528 (38.31%)
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b = 328.15 +/- 48.77 (14.86%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.995 1.000
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*******************************************************************************
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Wed Aug 30 21:11:12 2017
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FIT: data read from "20170830-evolution1D_5x5_100Times.csv" every ::1 using 4:5
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: g(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 4.22366e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.965827
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initial set of free parameter values
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aa = 1
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bb = 1
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After 5 iterations the fit converged.
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final sum of squares of residuals : 200034
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rel. change during last iteration : -5.28884e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 45.1792
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variance of residuals (reduced chisquare) = WSSR/ndf : 2041.16
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 3323.53 +/- 732.3 (22.03%)
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bb = -2890.68 +/- 681.3 (23.57%)
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correlation matrix of the fit parameters:
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aa bb
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aa 1.000
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bb -1.000 1.000
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*******************************************************************************
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Wed Aug 30 21:11:12 2017
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FIT: data read from "20170830-evolution1D_5x5_100Times.csv" every ::1 using 4:6
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format = x:z
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#datapoints = 100
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residuals are weighted equally (unit weight)
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function used for fitting: h(x)
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fitted parameters initialized with current variable values
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Iteration 0
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WSSR : 4.73621e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.965827
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initial set of free parameter values
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aaa = 1
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bbb = 1
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After 5 iterations the fit converged.
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final sum of squares of residuals : 6.41022
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rel. change during last iteration : -1.67651e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.255755
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0654104
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -3139.34 +/- 4.145 (0.132%)
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bbb = 3139.48 +/- 3.857 (0.1228%)
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correlation matrix of the fit parameters:
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aaa bbb
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aaa 1.000
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bbb -1.000 1.000
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@ -0,0 +1,261 @@
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Iteration 0
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WSSR : 4.26014e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.707238
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initial set of free parameter values
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a = 1
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b = 1
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/
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Iteration 1
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WSSR : 242181 delta(WSSR)/WSSR : -16.5907
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delta(WSSR) : -4.01796e+06 limit for stopping : 1e-05
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lambda : 0.0707238
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resultant parameter values
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a = 0.0614959
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b = 200.471
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/
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Iteration 2
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WSSR : 240032 delta(WSSR)/WSSR : -0.00895106
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delta(WSSR) : -2148.54 limit for stopping : 1e-05
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lambda : 0.00707238
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resultant parameter values
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a = -444.463
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b = 210.003
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/
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Iteration 3
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WSSR : 226547 delta(WSSR)/WSSR : -0.0595252
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delta(WSSR) : -13485.3 limit for stopping : 1e-05
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lambda : 0.000707238
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resultant parameter values
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a = -5849.75
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b = 313.784
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/
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Iteration 4
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WSSR : 226345 delta(WSSR)/WSSR : -0.000894059
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delta(WSSR) : -202.365 limit for stopping : 1e-05
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lambda : 7.07238e-05
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resultant parameter values
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a = -6596.93
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b = 328.13
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/
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Iteration 5
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WSSR : 226345 delta(WSSR)/WSSR : -1.70837e-09
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delta(WSSR) : -0.00038668 limit for stopping : 1e-05
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lambda : 7.07238e-06
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resultant parameter values
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a = -6597.96
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b = 328.15
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After 5 iterations the fit converged.
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final sum of squares of residuals : 226345
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rel. change during last iteration : -1.70837e-09
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 48.0587
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variance of residuals (reduced chisquare) = WSSR/ndf : 2309.64
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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a = -6597.96 +/- 2528 (38.31%)
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b = 328.15 +/- 48.77 (14.86%)
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correlation matrix of the fit parameters:
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a b
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a 1.000
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b -0.995 1.000
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Iteration 0
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WSSR : 4.22366e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.965827
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initial set of free parameter values
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aa = 1
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bb = 1
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/
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Iteration 1
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WSSR : 239502 delta(WSSR)/WSSR : -16.6352
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delta(WSSR) : -3.98416e+06 limit for stopping : 1e-05
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lambda : 0.0965827
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resultant parameter values
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aa = 107.081
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bb = 100.912
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/
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Iteration 2
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WSSR : 226540 delta(WSSR)/WSSR : -0.0572189
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delta(WSSR) : -12962.4 limit for stopping : 1e-05
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lambda : 0.00965827
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resultant parameter values
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aa = 684.765
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bb = -435.571
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/
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Iteration 3
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WSSR : 200084 delta(WSSR)/WSSR : -0.132222
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delta(WSSR) : -26455.4 limit for stopping : 1e-05
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lambda : 0.000965827
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resultant parameter values
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aa = 3208.17
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bb = -2783.34
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/
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Iteration 4
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WSSR : 200034 delta(WSSR)/WSSR : -0.000253269
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delta(WSSR) : -50.6622 limit for stopping : 1e-05
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lambda : 9.65827e-05
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resultant parameter values
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aa = 3323.48
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bb = -2890.63
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/
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Iteration 5
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WSSR : 200034 delta(WSSR)/WSSR : -5.28884e-11
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delta(WSSR) : -1.05794e-05 limit for stopping : 1e-05
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lambda : 9.65827e-06
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resultant parameter values
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aa = 3323.53
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bb = -2890.68
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After 5 iterations the fit converged.
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final sum of squares of residuals : 200034
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rel. change during last iteration : -5.28884e-11
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 45.1792
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variance of residuals (reduced chisquare) = WSSR/ndf : 2041.16
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aa = 3323.53 +/- 732.3 (22.03%)
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bb = -2890.68 +/- 681.3 (23.57%)
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correlation matrix of the fit parameters:
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aa bb
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aa 1.000
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bb -1.000 1.000
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Iteration 0
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WSSR : 4.73621e+06 delta(WSSR)/WSSR : 0
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delta(WSSR) : 0 limit for stopping : 1e-05
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lambda : 0.965827
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initial set of free parameter values
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aaa = 1
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bbb = 1
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/
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Iteration 1
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WSSR : 40116.1 delta(WSSR)/WSSR : -117.063
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delta(WSSR) : -4.69609e+06 limit for stopping : 1e-05
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lambda : 0.0965827
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resultant parameter values
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aaa = 101.443
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bbb = 123.174
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/
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Iteration 2
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WSSR : 26932.3 delta(WSSR)/WSSR : -0.489513
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delta(WSSR) : -13183.7 limit for stopping : 1e-05
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lambda : 0.00965827
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resultant parameter values
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aaa = -479.76
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bbb = 665.003
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/
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Iteration 3
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WSSR : 57.8749 delta(WSSR)/WSSR : -464.354
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delta(WSSR) : -26874.5 limit for stopping : 1e-05
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lambda : 0.000965827
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resultant parameter values
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aaa = -3023.07
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bbb = 3031.3
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/
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Iteration 4
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WSSR : 6.41023 delta(WSSR)/WSSR : -8.02852
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delta(WSSR) : -51.4647 limit for stopping : 1e-05
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lambda : 9.65827e-05
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resultant parameter values
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aaa = -3139.29
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bbb = 3139.43
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/
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Iteration 5
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WSSR : 6.41022 delta(WSSR)/WSSR : -1.67651e-06
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delta(WSSR) : -1.07468e-05 limit for stopping : 1e-05
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lambda : 9.65827e-06
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resultant parameter values
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aaa = -3139.34
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bbb = 3139.48
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After 5 iterations the fit converged.
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final sum of squares of residuals : 6.41022
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rel. change during last iteration : -1.67651e-06
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degrees of freedom (FIT_NDF) : 98
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rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.255755
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variance of residuals (reduced chisquare) = WSSR/ndf : 0.0654104
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Final set of parameters Asymptotic Standard Error
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======================= ==========================
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aaa = -3139.34 +/- 4.145 (0.132%)
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bbb = 3139.48 +/- 3.857 (0.1228%)
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correlation matrix of the fit parameters:
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aaa bbb
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aaa 1.000
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bbb -1.000 1.000
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@ -0,0 +1,14 @@
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set datafile separator ","
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f(x)=a*x+b
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fit f(x) "20170830-evolution1D_5x5_100Times.csv" every ::1 using 2:5 via a,b
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set terminal png
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set output "20170830-evolution1D_5x5_100Times_regularity-vs-steps.png"
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plot "20170830-evolution1D_5x5_100Times.csv" every ::1 using 2:5 title "regularity vs. steps", f(x) lc rgb "black"
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g(x)=aa*x+bb
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fit g(x) "20170830-evolution1D_5x5_100Times.csv" every ::1 using 4:5 via aa,bb
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set output "20170830-evolution1D_5x5_100Times_improvement-vs-steps.png"
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plot "20170830-evolution1D_5x5_100Times.csv" every ::1 using 4:5 title "improvement potential vs. steps", g(x) lc rgb "black"
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h(x)=aaa*x+bbb
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fit h(x) "20170830-evolution1D_5x5_100Times.csv" every ::1 using 4:6 via aaa,bbb
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set output "20170830-evolution1D_5x5_100Times_improvement-vs-evo-error.png"
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plot "20170830-evolution1D_5x5_100Times.csv" every ::1 using 4:6 title "improvement potential vs. evolution error", h(x) lc rgb "black"
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@ -1,17 +1,27 @@
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#!/bin/bash
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if [[ $? -ne 1 ]]; then
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if [[ $# -ne 1 ]]; then
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echo "usage: $0 <DATA.csv>"
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else
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$data=$1;
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$png=`echo $1 | sed -s "s/\.csv$//"` # strip ending
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(gnuplot <<EOD
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data="$1";
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png="`echo $1 | sed -s "s/\.csv$//"`" # strip ending
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(cat <<EOD
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set datafile separator ","
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f(x)=a*x+b
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fit f(x) "$data" every ::1 using 2:5 via a,b
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set terminal png
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set output "${png}_regularity-vs-steps.png"
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plot "$data" every ::1 using 2:5 title "regularity vs. steps", f(x) lc rgb "black"
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g(x)=aa*x+bb
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fit g(x) "$data" every ::1 using 4:5 via aa,bb
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set output "${png}_improvement-vs-steps.png"
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plot "$data" every ::1 using 4:5 title "improvement potential vs. steps", g(x) lc rgb "black"
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h(x)=aaa*x+bbb
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fit h(x) "$data" every ::1 using 4:6 via aaa,bbb
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set output "${png}_improvement-vs-evo-error.png"
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plot "$data" every ::1 using 4:6 title "improvement potential vs. evolution error", h(x) lc rgb "black"
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EOD
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) 2> "${png}.gnuplot.log"
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) > "${png}.gnuplot.script"
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gnuplot "${png}.gnuplot.script" 2> "${png}.gnuplot.log"
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mv fit.log "${png}.gnuplot.fit.log"
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fi
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