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authorFlorian Jung <flo@windfisch.org>2015-08-27 21:05:22 +0200
committerFlorian Jung <flo@windfisch.org>2015-08-27 21:05:22 +0200
commitea4515d0516dc3f0bd20428f6d032714ca5ffdea (patch)
tree6119669b4827d078f9c1b8bf9d9a717a67178146 /reversing_game_mechanics/zoomlevel/fit.log
parenta973a8986191a7a492a18a8f52d33bce9b821292 (diff)
reverse engineered zoom level
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+
+
+*******************************************************************************
+Thu Aug 27 21:04:27 2015
+
+
+FIT: data read from "win.size.all.filtered" using 1:2
+ format = x:z
+ #datapoints = 227
+ residuals are weighted equally (unit weight)
+
+function used for fitting: f(x)
+fitted parameters initialized with current variable values
+
+
+
+ Iteration 0
+ WSSR : 1.99006e+09 delta(WSSR)/WSSR : 0
+ delta(WSSR) : 0 limit for stopping : 1e-05
+ lambda : 543.709
+
+initial set of free parameter values
+
+a = 1
+b = 1
+
+After 187 iterations the fit converged.
+final sum of squares of residuals : 316175
+rel. change during last iteration : -9.20903e-11
+
+degrees of freedom (FIT_NDF) : 225
+rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 37.4863
+variance of residuals (reduced chisquare) = WSSR/ndf : 1405.22
+
+Final set of parameters Asymptotic Standard Error
+======================= ==========================
+
+a = 369.399 +/- 4.401 (1.191%)
+b = 0.431776 +/- 0.002383 (0.5519%)
+
+
+correlation matrix of the fit parameters:
+
+ a b
+a 1.000
+b -0.998 1.000