QtiPlot 0.9.8 project file
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2	-2.166666666667	0.2430913874935	0.1245976505561	0.04629880506765	0.4736409063805
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9	-1	0.1927050983125	1.3988333193	0.2393295906823	1.433896720651
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29	2.333333333333	0.0134528075516	-0.3697008454126	0.06270263173672	-1.53442401455
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Integration1	5	2	3.3.2012 21:19:41
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tabulka_kostky	30	4	3.3.2012 21:31:10
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3	5	5	58	5
4	6	1	77	6
5	7	5	84	7
6	8	3	71	6
7	9	0	53	5
8	10	2	44	4
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CubicInt1	1000	2	7.3.2012 6:45:24
geometry	0	0	445	220	hidden
header	1[X]	2[Y]
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WindowLabel	Cubic Interpolation of tabulka_kostky_20_limita	2
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[3.3.2012 21:19:41	Plot: ''Graph1'']

Numerical integration of: Table1_3 using the Trapezoidal Rule
Points: 5 from x = 0,2 to x = 1
Peak at x = 0,6	y = 4
Area = 1,5
-------------------------------------------------------------
[3.3.2012 21:19:57	Plot: ''Graph1'']

Numerical integration of: Table1_3 using the Trapezoidal Rule
Points: 5 from x = 0,2 to x = 1
Peak at x = 0,6	y = 4
Area = 1,5
-------------------------------------------------------------
[3.3.2012 21:19:58	Plot: ''Graph1'']

Numerical integration of: Table1_3 using the Trapezoidal Rule
Points: 5 from x = 0,2 to x = 1
Peak at x = 0,6	y = 4
Area = 1,5
-------------------------------------------------------------
[3.3.2012 21:20:40	Plot: ''Graph1'']
Gauss Fit of dataset: Table1_3, using function: y0+A*sqrt(2/PI)/w*exp(-2*((x-xc)/w)^2)
Weighting Method: No weighting
Scaled Levenberg-Marquardt algorithm with tolerance = 0,0001
From x = 2,000000000000000e-01 to x = 1,000000000000000e+00
A (area) = 1,589965940664928e-01 +/- 1,455346893139437e+13
xc (center) = 6,000000215535862e-01 +/- 1,255273978263730e+13
w (width) = 4,613124640952702e-02 +/- 4,222541151801375e+12
y0 (offset) = 1,249999999999999e+00 +/- 6,321144198992132e-01
--------------------------------------------------------------------------------------
Chi^2/doF = 7,500000000000001e-01
R^2 = 0,889705882352941
RMSE (Root Mean Squared Error) = 0,866025403784439
RSS (Residual Sum of Squares) = 0,75
---------------------------------------------------------------------------------------
Iterations = 27
Status = cannot reach the specified tolerance in F
---------------------------------------------------------------------------------------
[3.3.2012 21:21:20	Plot: ''Graph1'']
Lorentz Fit of dataset: Table1_3, using function: y0+2*A/PI*w/(4*(x-xc)^2+w^2)
Weighting Method: No weighting
Scaled Levenberg-Marquardt algorithm with tolerance = 0,0001
From x = 0,000000000000000e+00 to x = 1,800000000000000e+00
A (area) = 1,350144468781968e+00 +/- 6,939103091994243e-01
xc (center) = 6,054340834479656e-01 +/- 7,166434390759313e-02
w (width) = 2,366306268827839e-01 +/- 1,112626112953694e-01
y0 (offset) = 3,468490052774147e-01 +/- 3,478251904345158e-01
--------------------------------------------------------------------------------------
Chi^2/doF = 5,215505980839313e-01
R^2 = 0,776478315106887
Adjusted R^2 = 0,597660967192396
RMSE (Root Mean Squared Error) = 0,722184601112438
RSS (Residual Sum of Squares) = 3,12930358850359
---------------------------------------------------------------------------------------
Iterations = 9
Status = success
---------------------------------------------------------------------------------------
[3.3.2012 21:32:37	Plot: ''Graph1'']
Gauss Fit of dataset: Table1_1, using function: y0+A*sqrt(2/PI)/w*exp(-2*((x-xc)/w)^2)
Weighting Method: No weighting
Scaled Levenberg-Marquardt algorithm with tolerance = 0,0001
From x = 1,000000000000000e+00 to x = 7,300000000000000e+00
A (area) = 3,759413599121736e+01 +/- 9,171979851458281e+10
xc (center) = 4,111322505744913e+00 +/- 3,339851622353423e+07
w (width) = 2,697711300780945e-01 +/- 1,164754289117285e+08
y0 (offset) = 1,250000000021993e+00 +/- 5,678815209714440e-01
--------------------------------------------------------------------------------------
Chi^2/doF = 2,250000000029162e+00
R^2 = 0,800295857985577
Adjusted R^2 = 0,640532544374039
RMSE (Root Mean Squared Error) = 1,50000000000972
RSS (Residual Sum of Squares) = 13,500000000175
---------------------------------------------------------------------------------------
Iterations = 1000
Status = the iteration has not converged yet
---------------------------------------------------------------------------------------

3.3.2012 22:03:30	Histogram and Probabilities for Table1_1
Mean = 3.99091	Standard Deviation = 1.3829
Minimum = 0	Maximum = 9	Bins = 10
-------------------------------------------------------------


[6.3.2012 15:32:12 "Table1"]
Statistics on Table1_1:
Mean = 3,9545454545455
Standard Deviation = 1,3965015038361
Median = 4,0000000000000
Size = 22
--------------------------------------------------------------------------------------
6.3.2012 15:36:53	Histogram and Probabilities for Table1_1
Mean = 3.99091	Standard Deviation = 1.3829
Minimum = 0	Maximum = 9	Bins = 10
-------------------------------------------------------------
6.3.2012 15:42:39	Histogram and Probabilities for Table1_2
Mean = 0.045	Standard Deviation = 0.014771
Minimum = 0	Maximum = 9	Bins = 100
-------------------------------------------------------------
6.3.2012 15:50:58	Histogram and Probabilities for Table1_2
Mean = 0.0456818	Standard Deviation = 0.0159933
Minimum = 0	Maximum = 9	Bins = 200
-------------------------------------------------------------
6.3.2012 15:58:10	Histogram and Probabilities for Table1_1
Mean = 170	Standard Deviation = 8.52803
Minimum = 3	Maximum = 4	Bins = 3
-------------------------------------------------------------
[6.3.2012 16:05:38 "Table1"]
Statistics on Table1_1:
Mean = 1,8181818181818
Standard Deviation = 1,8340219092575
Median = 1,0000000000000
Size = 11
--------------------------------------------------------------------------------------
[6.3.2012 16:06:29 "Table1"]
Statistics on Table1_1:
Mean = 1,8181818181818
Standard Deviation = 1,8340219092575
Median = 1,0000000000000
Size = 11
--------------------------------------------------------------------------------------
6.3.2012 16:11:31	Histogram and Probabilities for Table1_1
Mean = 46.5955	Standard Deviation = 22.7471
Minimum = 0	Maximum = 2	Bins = 10
-------------------------------------------------------------
6.3.2012 16:27:09	Histogram and Probabilities for Table2_3
Mean = 0.00169737	Standard Deviation = 0.000559087
Minimum = 0	Maximum = 163	Bins = 10000
-------------------------------------------------------------
6.3.2012 16:36:52	Histogram and Probabilities for tabulka_vysky_1
Mean = 174.333	Standard Deviation = 9.97775
Minimum = 7	Maximum = 8	Bins = 2
-------------------------------------------------------------

6.3.2012 21:11:57	Histogram and Probabilities for tabulka_kostky_20_1
Mean = 7.52584	Standard Deviation = 2.37309
Minimum = 0	Maximum = 84	Bins = 12
-------------------------------------------------------------

7.3.2012 6:06:31	Histogram and Probabilities for tabulka_kostky_20_2
Mean = 6.25	Standard Deviation = 2.48747
Minimum = 0	Maximum = 11	Bins = 3
-------------------------------------------------------------
7.3.2012 6:18:07	Histogram and Probabilities for tabulka_kostky_20_limita
Mean = 7.5	Standard Deviation = 2.41523
Minimum = 1	Maximum = 6	Bins = 11
-------------------------------------------------------------
[7.3.2012 6:28:16	Plot: ''histogram-limita'']
Gauss Fit of dataset: tabulka_kostky_20_limita, using function: y0+A*sqrt(2/PI)/w*exp(-2*((x-xc)/w)^2)
Weighting Method: No weighting
Scaled Levenberg-Marquardt algorithm with tolerance = 0,0001
From x = 2,000000000000000e+00 to x = 1,200000000000000e+01
A (area) = 3,288865633223426e+01 +/- 5,427759993208856e+00
xc (center) = 7,000000000000000e+00 +/- 7,624937213829901e-02
w (width) = 5,049094475537165e+00 +/- 4,831782784160076e-01
y0 (offset) = 3,674942158238023e-01 +/- 4,410889380214267e-01
--------------------------------------------------------------------------------------
Chi^2/doF = 5,395115085588831e-02
R^2 = 0,986599230271279
Adjusted R^2 = 0,977665383785466
RMSE (Root Mean Squared Error) = 0,23227387036834
RSS (Residual Sum of Squares) = 0,377658055991218
---------------------------------------------------------------------------------------
Iterations = 7
Status = success
---------------------------------------------------------------------------------------
[7.3.2012 6:29:45	Plot: ''histogram--500hodůdvěmikostkami'']
Gauss Fit of dataset: tabulka_kostky_20_500 hodů, using function: y0+A*sqrt(2/PI)/w*exp(-2*((x-xc)/w)^2)
Weighting Method: No weighting
Scaled Levenberg-Marquardt algorithm with tolerance = 0,0001
From x = 2,000000000000000e+00 to x = 1,190000000000000e+01
A (area) = 3,945957144786438e+02 +/- 8,840732743654060e+01
xc (center) = 6,249628761855514e+00 +/- 1,380515691870270e-01
w (width) = 4,772624783548452e+00 +/- 6,628795726871598e-01
y0 (offset) = 1,534564724739979e+01 +/- 7,378198087067900e+00
--------------------------------------------------------------------------------------
Chi^2/doF = 2,703219976798666e+01
R^2 = 0,965075429338748
Adjusted R^2 = 0,937135772809747
RMSE (Root Mean Squared Error) = 5,19924992359347
RSS (Residual Sum of Squares) = 162,19319860792
---------------------------------------------------------------------------------------
Iterations = 6
Status = success
---------------------------------------------------------------------------------------
[7.3.2012 6:41:38	Plot: ''histogram-limita'']
Linear Regression of dataset: tabulka_kostky_20_limita, using function: A*x
Weighting Method: No weighting
From x = 2,000000000000000e+00 to x = 1,200000000000000e+01
A (slope) = 3,882896764252696e-01 +/- 8,613513010399806e-02
--------------------------------------------------------------------------------------
Chi^2/doF = 4,815100154083205e+00
R^2 = -0,708583925642427
Adjusted R^2 = -0,898426584047142
RMSE (Root Mean Squared Error) = 2,19433364693777
RSS (Residual Sum of Squares) = 48,151001540832
---------------------------------------------------------------------------------------

</log>