Asymmetric distribution, Gauss curve











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enter image description hereI want to create a positive and negative asymmetric distribution, as shown in the image, it will be possible to include the data (values) one by one to give the desired curve.



The WME is



documentclass[border=5mm]{standalone}
usepackage{pgfplots}

begin{document}

newcommandgauss[2]{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}
begin{tikzpicture}[
every pin edge/.style={latex-,line width=1.5pt},
every pin/.style={fill=yellow!50,rectangle,rounded corners=3pt,font=small}]
begin{axis}[every axis plot post/.append style={
mark=none,domain=-3.:3.,samples=100},
clip=false,
axis y line=none,
axis x line*=bottom,
ymin=0,
xtick=empty,]
addplot[line width=1.5pt,blue] {gauss{0.}{1.}};
node[pin=270:{$X=M_e=M_o$}] at (axis cs:0,0) {};
draw[line width=1.5pt,dashed, red] (axis description cs:0.5,0) -- (axis description cs:0.5,0.92);
end{axis}
end{tikzpicture}

end{document}









share|improve this question


























    up vote
    2
    down vote

    favorite












    enter image description hereI want to create a positive and negative asymmetric distribution, as shown in the image, it will be possible to include the data (values) one by one to give the desired curve.



    The WME is



    documentclass[border=5mm]{standalone}
    usepackage{pgfplots}

    begin{document}

    newcommandgauss[2]{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}
    begin{tikzpicture}[
    every pin edge/.style={latex-,line width=1.5pt},
    every pin/.style={fill=yellow!50,rectangle,rounded corners=3pt,font=small}]
    begin{axis}[every axis plot post/.append style={
    mark=none,domain=-3.:3.,samples=100},
    clip=false,
    axis y line=none,
    axis x line*=bottom,
    ymin=0,
    xtick=empty,]
    addplot[line width=1.5pt,blue] {gauss{0.}{1.}};
    node[pin=270:{$X=M_e=M_o$}] at (axis cs:0,0) {};
    draw[line width=1.5pt,dashed, red] (axis description cs:0.5,0) -- (axis description cs:0.5,0.92);
    end{axis}
    end{tikzpicture}

    end{document}









    share|improve this question
























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      enter image description hereI want to create a positive and negative asymmetric distribution, as shown in the image, it will be possible to include the data (values) one by one to give the desired curve.



      The WME is



      documentclass[border=5mm]{standalone}
      usepackage{pgfplots}

      begin{document}

      newcommandgauss[2]{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}
      begin{tikzpicture}[
      every pin edge/.style={latex-,line width=1.5pt},
      every pin/.style={fill=yellow!50,rectangle,rounded corners=3pt,font=small}]
      begin{axis}[every axis plot post/.append style={
      mark=none,domain=-3.:3.,samples=100},
      clip=false,
      axis y line=none,
      axis x line*=bottom,
      ymin=0,
      xtick=empty,]
      addplot[line width=1.5pt,blue] {gauss{0.}{1.}};
      node[pin=270:{$X=M_e=M_o$}] at (axis cs:0,0) {};
      draw[line width=1.5pt,dashed, red] (axis description cs:0.5,0) -- (axis description cs:0.5,0.92);
      end{axis}
      end{tikzpicture}

      end{document}









      share|improve this question













      enter image description hereI want to create a positive and negative asymmetric distribution, as shown in the image, it will be possible to include the data (values) one by one to give the desired curve.



      The WME is



      documentclass[border=5mm]{standalone}
      usepackage{pgfplots}

      begin{document}

      newcommandgauss[2]{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}
      begin{tikzpicture}[
      every pin edge/.style={latex-,line width=1.5pt},
      every pin/.style={fill=yellow!50,rectangle,rounded corners=3pt,font=small}]
      begin{axis}[every axis plot post/.append style={
      mark=none,domain=-3.:3.,samples=100},
      clip=false,
      axis y line=none,
      axis x line*=bottom,
      ymin=0,
      xtick=empty,]
      addplot[line width=1.5pt,blue] {gauss{0.}{1.}};
      node[pin=270:{$X=M_e=M_o$}] at (axis cs:0,0) {};
      draw[line width=1.5pt,dashed, red] (axis description cs:0.5,0) -- (axis description cs:0.5,0.92);
      end{axis}
      end{tikzpicture}

      end{document}






      tikz-pgf gauss






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 2 hours ago









      Samuel Diaz

      2208




      2208






















          1 Answer
          1






          active

          oldest

          votes

















          up vote
          3
          down vote













          This is only a partial answer since it is not clear to me what an asymmetric Gauss curve precisely is. This is more to discuss how to set this up in principle. So I am only going to discuss how to plot a deformed Gauss curve.



          To this end, I'd like to convince you to use declare function rather than the definition you use. In the example below, I am going to use



          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));


          Here Gauss reduces to an ordinary Gaussian for u=0, where x is just the variable, y defines the location of the maximum and z the width. If you turn on a nontrivial u, the Gaussian will get deformed.



          documentclass[border=5mm]{standalone}
          usepackage{pgfplots}
          pgfplotsset{height=4cm,width=8cm,compat=1.16}
          begin{document}

          begin{tikzpicture}[font=sffamily,
          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));},
          every pin edge/.style={latex-,line width=1.5pt},
          every pin/.style={fill=yellow!50,rectangle,rounded corners=3pt,font=small}]
          begin{axis}[
          every axis plot post/.append style={
          mark=none,samples=101},
          clip=false,
          axis y line=none,
          axis x line*=bottom,
          ymin=0,
          xtick=empty,]
          addplot[line width=1.5pt,blue,domain=-1:3] {Gauss(x,0,0.6,-0.4)};
          draw[line width=1.5pt,dashed, black] (0,0) -- (0,{Gauss(0,0,0.6,-0.4)});
          %node[pin=270:{$X=M_e=M_o$}] at (axis cs:0,0) {};
          draw[line width=1.5pt,dashed, red] (0.6,0) -- (0.6,{Gauss(0.6,0,0.6,-0.4)});
          draw[line width=1.5pt,dashed, red] (-0.6,0) -- (-0.6,{Gauss(-0.6,0,0.6,-0.4)});
          path (-0.6,0) coordinate (ML) (0.6,0) coordinate (MR) (0,0) coordinate (MM);
          end{axis}
          draw[latex-] (ML) to[out=-90,in=45] ++ (-0.6,-0.6) node[below left,inner
          sep=1pt]{$langle Xrangle-Delta$};
          draw[latex-] (MR) to[out=-90,in=135] ++ (0.6,-0.6) node[below right,inner
          sep=1pt]{$langle Xrangle+Delta$};
          draw[latex-] (MM) --++ (0,-0.6) node[below,inner
          sep=1pt]{$langle Xrangle$};
          end{tikzpicture}
          end{document}


          enter image description here






          share|improve this answer























          • @ marmot They are two separate graphs, one that leans to the right and the other to the left, known as negative skew and positive skew. en.wikipedia.org/wiki/Skewness
            – Samuel Diaz
            1 hour ago












          • @SamuelDiaz Thanks for the link! But as far as I can see it does not really give you a unique parametrization of these deformed Gaussians, does it?
            – marmot
            1 hour ago










          • Correct, you have to keep in mind that you meet that average < average < mode or average > median > fashion.
            – Samuel Diaz
            56 mins ago












          • @SamuelDiaz I added a possible way how you could use this.
            – marmot
            32 mins ago











          Your Answer








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          1 Answer
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          active

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          3
          down vote













          This is only a partial answer since it is not clear to me what an asymmetric Gauss curve precisely is. This is more to discuss how to set this up in principle. So I am only going to discuss how to plot a deformed Gauss curve.



          To this end, I'd like to convince you to use declare function rather than the definition you use. In the example below, I am going to use



          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));


          Here Gauss reduces to an ordinary Gaussian for u=0, where x is just the variable, y defines the location of the maximum and z the width. If you turn on a nontrivial u, the Gaussian will get deformed.



          documentclass[border=5mm]{standalone}
          usepackage{pgfplots}
          pgfplotsset{height=4cm,width=8cm,compat=1.16}
          begin{document}

          begin{tikzpicture}[font=sffamily,
          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));},
          every pin edge/.style={latex-,line width=1.5pt},
          every pin/.style={fill=yellow!50,rectangle,rounded corners=3pt,font=small}]
          begin{axis}[
          every axis plot post/.append style={
          mark=none,samples=101},
          clip=false,
          axis y line=none,
          axis x line*=bottom,
          ymin=0,
          xtick=empty,]
          addplot[line width=1.5pt,blue,domain=-1:3] {Gauss(x,0,0.6,-0.4)};
          draw[line width=1.5pt,dashed, black] (0,0) -- (0,{Gauss(0,0,0.6,-0.4)});
          %node[pin=270:{$X=M_e=M_o$}] at (axis cs:0,0) {};
          draw[line width=1.5pt,dashed, red] (0.6,0) -- (0.6,{Gauss(0.6,0,0.6,-0.4)});
          draw[line width=1.5pt,dashed, red] (-0.6,0) -- (-0.6,{Gauss(-0.6,0,0.6,-0.4)});
          path (-0.6,0) coordinate (ML) (0.6,0) coordinate (MR) (0,0) coordinate (MM);
          end{axis}
          draw[latex-] (ML) to[out=-90,in=45] ++ (-0.6,-0.6) node[below left,inner
          sep=1pt]{$langle Xrangle-Delta$};
          draw[latex-] (MR) to[out=-90,in=135] ++ (0.6,-0.6) node[below right,inner
          sep=1pt]{$langle Xrangle+Delta$};
          draw[latex-] (MM) --++ (0,-0.6) node[below,inner
          sep=1pt]{$langle Xrangle$};
          end{tikzpicture}
          end{document}


          enter image description here






          share|improve this answer























          • @ marmot They are two separate graphs, one that leans to the right and the other to the left, known as negative skew and positive skew. en.wikipedia.org/wiki/Skewness
            – Samuel Diaz
            1 hour ago












          • @SamuelDiaz Thanks for the link! But as far as I can see it does not really give you a unique parametrization of these deformed Gaussians, does it?
            – marmot
            1 hour ago










          • Correct, you have to keep in mind that you meet that average < average < mode or average > median > fashion.
            – Samuel Diaz
            56 mins ago












          • @SamuelDiaz I added a possible way how you could use this.
            – marmot
            32 mins ago















          up vote
          3
          down vote













          This is only a partial answer since it is not clear to me what an asymmetric Gauss curve precisely is. This is more to discuss how to set this up in principle. So I am only going to discuss how to plot a deformed Gauss curve.



          To this end, I'd like to convince you to use declare function rather than the definition you use. In the example below, I am going to use



          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));


          Here Gauss reduces to an ordinary Gaussian for u=0, where x is just the variable, y defines the location of the maximum and z the width. If you turn on a nontrivial u, the Gaussian will get deformed.



          documentclass[border=5mm]{standalone}
          usepackage{pgfplots}
          pgfplotsset{height=4cm,width=8cm,compat=1.16}
          begin{document}

          begin{tikzpicture}[font=sffamily,
          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));},
          every pin edge/.style={latex-,line width=1.5pt},
          every pin/.style={fill=yellow!50,rectangle,rounded corners=3pt,font=small}]
          begin{axis}[
          every axis plot post/.append style={
          mark=none,samples=101},
          clip=false,
          axis y line=none,
          axis x line*=bottom,
          ymin=0,
          xtick=empty,]
          addplot[line width=1.5pt,blue,domain=-1:3] {Gauss(x,0,0.6,-0.4)};
          draw[line width=1.5pt,dashed, black] (0,0) -- (0,{Gauss(0,0,0.6,-0.4)});
          %node[pin=270:{$X=M_e=M_o$}] at (axis cs:0,0) {};
          draw[line width=1.5pt,dashed, red] (0.6,0) -- (0.6,{Gauss(0.6,0,0.6,-0.4)});
          draw[line width=1.5pt,dashed, red] (-0.6,0) -- (-0.6,{Gauss(-0.6,0,0.6,-0.4)});
          path (-0.6,0) coordinate (ML) (0.6,0) coordinate (MR) (0,0) coordinate (MM);
          end{axis}
          draw[latex-] (ML) to[out=-90,in=45] ++ (-0.6,-0.6) node[below left,inner
          sep=1pt]{$langle Xrangle-Delta$};
          draw[latex-] (MR) to[out=-90,in=135] ++ (0.6,-0.6) node[below right,inner
          sep=1pt]{$langle Xrangle+Delta$};
          draw[latex-] (MM) --++ (0,-0.6) node[below,inner
          sep=1pt]{$langle Xrangle$};
          end{tikzpicture}
          end{document}


          enter image description here






          share|improve this answer























          • @ marmot They are two separate graphs, one that leans to the right and the other to the left, known as negative skew and positive skew. en.wikipedia.org/wiki/Skewness
            – Samuel Diaz
            1 hour ago












          • @SamuelDiaz Thanks for the link! But as far as I can see it does not really give you a unique parametrization of these deformed Gaussians, does it?
            – marmot
            1 hour ago










          • Correct, you have to keep in mind that you meet that average < average < mode or average > median > fashion.
            – Samuel Diaz
            56 mins ago












          • @SamuelDiaz I added a possible way how you could use this.
            – marmot
            32 mins ago













          up vote
          3
          down vote










          up vote
          3
          down vote









          This is only a partial answer since it is not clear to me what an asymmetric Gauss curve precisely is. This is more to discuss how to set this up in principle. So I am only going to discuss how to plot a deformed Gauss curve.



          To this end, I'd like to convince you to use declare function rather than the definition you use. In the example below, I am going to use



          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));


          Here Gauss reduces to an ordinary Gaussian for u=0, where x is just the variable, y defines the location of the maximum and z the width. If you turn on a nontrivial u, the Gaussian will get deformed.



          documentclass[border=5mm]{standalone}
          usepackage{pgfplots}
          pgfplotsset{height=4cm,width=8cm,compat=1.16}
          begin{document}

          begin{tikzpicture}[font=sffamily,
          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));},
          every pin edge/.style={latex-,line width=1.5pt},
          every pin/.style={fill=yellow!50,rectangle,rounded corners=3pt,font=small}]
          begin{axis}[
          every axis plot post/.append style={
          mark=none,samples=101},
          clip=false,
          axis y line=none,
          axis x line*=bottom,
          ymin=0,
          xtick=empty,]
          addplot[line width=1.5pt,blue,domain=-1:3] {Gauss(x,0,0.6,-0.4)};
          draw[line width=1.5pt,dashed, black] (0,0) -- (0,{Gauss(0,0,0.6,-0.4)});
          %node[pin=270:{$X=M_e=M_o$}] at (axis cs:0,0) {};
          draw[line width=1.5pt,dashed, red] (0.6,0) -- (0.6,{Gauss(0.6,0,0.6,-0.4)});
          draw[line width=1.5pt,dashed, red] (-0.6,0) -- (-0.6,{Gauss(-0.6,0,0.6,-0.4)});
          path (-0.6,0) coordinate (ML) (0.6,0) coordinate (MR) (0,0) coordinate (MM);
          end{axis}
          draw[latex-] (ML) to[out=-90,in=45] ++ (-0.6,-0.6) node[below left,inner
          sep=1pt]{$langle Xrangle-Delta$};
          draw[latex-] (MR) to[out=-90,in=135] ++ (0.6,-0.6) node[below right,inner
          sep=1pt]{$langle Xrangle+Delta$};
          draw[latex-] (MM) --++ (0,-0.6) node[below,inner
          sep=1pt]{$langle Xrangle$};
          end{tikzpicture}
          end{document}


          enter image description here






          share|improve this answer














          This is only a partial answer since it is not clear to me what an asymmetric Gauss curve precisely is. This is more to discuss how to set this up in principle. So I am only going to discuss how to plot a deformed Gauss curve.



          To this end, I'd like to convince you to use declare function rather than the definition you use. In the example below, I am going to use



          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));


          Here Gauss reduces to an ordinary Gaussian for u=0, where x is just the variable, y defines the location of the maximum and z the width. If you turn on a nontrivial u, the Gaussian will get deformed.



          documentclass[border=5mm]{standalone}
          usepackage{pgfplots}
          pgfplotsset{height=4cm,width=8cm,compat=1.16}
          begin{document}

          begin{tikzpicture}[font=sffamily,
          declare function={Gauss(x,y,z,u)=1/(z*sqrt(2*pi))*exp(-((x-y+u*(x-y)*sign(x-y))^2)/(2*z^2));},
          every pin edge/.style={latex-,line width=1.5pt},
          every pin/.style={fill=yellow!50,rectangle,rounded corners=3pt,font=small}]
          begin{axis}[
          every axis plot post/.append style={
          mark=none,samples=101},
          clip=false,
          axis y line=none,
          axis x line*=bottom,
          ymin=0,
          xtick=empty,]
          addplot[line width=1.5pt,blue,domain=-1:3] {Gauss(x,0,0.6,-0.4)};
          draw[line width=1.5pt,dashed, black] (0,0) -- (0,{Gauss(0,0,0.6,-0.4)});
          %node[pin=270:{$X=M_e=M_o$}] at (axis cs:0,0) {};
          draw[line width=1.5pt,dashed, red] (0.6,0) -- (0.6,{Gauss(0.6,0,0.6,-0.4)});
          draw[line width=1.5pt,dashed, red] (-0.6,0) -- (-0.6,{Gauss(-0.6,0,0.6,-0.4)});
          path (-0.6,0) coordinate (ML) (0.6,0) coordinate (MR) (0,0) coordinate (MM);
          end{axis}
          draw[latex-] (ML) to[out=-90,in=45] ++ (-0.6,-0.6) node[below left,inner
          sep=1pt]{$langle Xrangle-Delta$};
          draw[latex-] (MR) to[out=-90,in=135] ++ (0.6,-0.6) node[below right,inner
          sep=1pt]{$langle Xrangle+Delta$};
          draw[latex-] (MM) --++ (0,-0.6) node[below,inner
          sep=1pt]{$langle Xrangle$};
          end{tikzpicture}
          end{document}


          enter image description here







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited 14 mins ago

























          answered 1 hour ago









          marmot

          78k487166




          78k487166












          • @ marmot They are two separate graphs, one that leans to the right and the other to the left, known as negative skew and positive skew. en.wikipedia.org/wiki/Skewness
            – Samuel Diaz
            1 hour ago












          • @SamuelDiaz Thanks for the link! But as far as I can see it does not really give you a unique parametrization of these deformed Gaussians, does it?
            – marmot
            1 hour ago










          • Correct, you have to keep in mind that you meet that average < average < mode or average > median > fashion.
            – Samuel Diaz
            56 mins ago












          • @SamuelDiaz I added a possible way how you could use this.
            – marmot
            32 mins ago


















          • @ marmot They are two separate graphs, one that leans to the right and the other to the left, known as negative skew and positive skew. en.wikipedia.org/wiki/Skewness
            – Samuel Diaz
            1 hour ago












          • @SamuelDiaz Thanks for the link! But as far as I can see it does not really give you a unique parametrization of these deformed Gaussians, does it?
            – marmot
            1 hour ago










          • Correct, you have to keep in mind that you meet that average < average < mode or average > median > fashion.
            – Samuel Diaz
            56 mins ago












          • @SamuelDiaz I added a possible way how you could use this.
            – marmot
            32 mins ago
















          @ marmot They are two separate graphs, one that leans to the right and the other to the left, known as negative skew and positive skew. en.wikipedia.org/wiki/Skewness
          – Samuel Diaz
          1 hour ago






          @ marmot They are two separate graphs, one that leans to the right and the other to the left, known as negative skew and positive skew. en.wikipedia.org/wiki/Skewness
          – Samuel Diaz
          1 hour ago














          @SamuelDiaz Thanks for the link! But as far as I can see it does not really give you a unique parametrization of these deformed Gaussians, does it?
          – marmot
          1 hour ago




          @SamuelDiaz Thanks for the link! But as far as I can see it does not really give you a unique parametrization of these deformed Gaussians, does it?
          – marmot
          1 hour ago












          Correct, you have to keep in mind that you meet that average < average < mode or average > median > fashion.
          – Samuel Diaz
          56 mins ago






          Correct, you have to keep in mind that you meet that average < average < mode or average > median > fashion.
          – Samuel Diaz
          56 mins ago














          @SamuelDiaz I added a possible way how you could use this.
          – marmot
          32 mins ago




          @SamuelDiaz I added a possible way how you could use this.
          – marmot
          32 mins ago


















           

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