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</o:shapelayout></xml><![endif]--></head><body lang=PL link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span lang=EN-US>There is a strange behavior of \psGaussI function (part of pst-func package). I understood this function was the integral of Gaussian density. Running a simple test below I began to doubt:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>\psset{xunit=2,yunit=20mm}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>\begin{pspicture}(-2,-.5)(2,2)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>\psaxes[Dy=0.25]{->}(0,0)(-2,0)(2,1.25)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> \uput[-90](6,0){x} \uput[0](0,1){y}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> \psGaussI[mue=-1.5,sigma=0.2]{-1.7}{1.7}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> \psGaussI[mue=-1.0,sigma=0.2]{-1.7}{1.7}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> \psGaussI[mue=-0.5,sigma=0.2]{-1.7}{1.7}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> \psGaussI[mue=-0.0,sigma=0.2]{-1.7}{1.7}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> \psGaussI[mue= 0.5,sigma=0.2]{-1.7}{1.7}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> \psGaussI[mue= 1.0,sigma=0.2]{-1.7}{1.7}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> \psGaussI[mue= 1.5,sigma=0.2]{-1.7}{1.7}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>\end{pspicture}<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Only the plots for mue=-1 and mue=-0.5 look according to my expectation (which might be erroneous). Now, <o:p></o:p></span></p><p class=MsoListParagraph style='text-indent:-18.0pt;mso-list:l0 level1 lfo1'><![if !supportLists]><span lang=EN-US><span style='mso-list:Ignore'>1)<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN-US>For mue =-1.5, the plot has a horizontal asymptote at about 0.8. This may show that psGaussI is not the Gaussian distribution function, but rather a running integral of Gausian density, with the left integral bound=-1.7 in my example. Am I right? If so, is it a way to plot a real Gaussian distribution? <o:p></o:p></span></p><p class=MsoListParagraph style='text-indent:-18.0pt;mso-list:l0 level1 lfo1'><![if !supportLists]><span lang=EN-US><span style='mso-list:Ignore'>2)<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span lang=EN-US>All plots for mue greater than -0.5 fluctuate, showing a behavior far from the one I would expect from a distribution function, or even from the integral of a density function. Changing Simpson parameter does not change the story. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>I will be grateful for any help <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Andrzej Pacut<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Faculty of Electronics and Information Technology<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Warsaw University of Technology<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Warsaw, Poland<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p></div></body></html>