Linear classification LDA - project line boundary

How can I project the line obtained from linear discriminant analysis. I couldn't find how to make it despite it is easy task. I follow the materials provided online, but no one explain how to project the line and plot the data classes.

% Number of observations of each class
n1=size(c1,1)
n2=size(c2,1)

%Mean of each class
mu1=mean(c1)
 mu2=mean(c2)

   % Average of the mean of all classes
   mu=(mu1+mu2)/2

   % Center the data (data-mean)
   d1=c1-repmat(mu1,5,1)
   d2=c2-repmat(mu2,6,1)

   % Calculate the within class variance (SW)
   s1=d1'*d1
   s2=d2'*d2
   sw=s1+s2
   invsw=inv(sw)

   % in case of two classes only use v-direction of projection
    v=invsw*(mu1-mu2)'

    %   % if more than 2 classes calculate between class variance (SB)
     sb1=n1*(mu1-mu)'*(mu1-mu)
     sb2=n2*(mu2-mu)'*(mu2-mu)
     SB=sb1+sb2
     v=invsw*SB
   % 
   % % find eigne values and eigen vectors of the (v)
   [evec,eval]=eig(v)

   % Sort eigen vectors according to eigen values (descending order) and
   % neglect eigen vectors according to small eigen values
   % v=evec(greater eigen value)
   % or use all the eigen vectors

   % project the data of the first and second class respectively
  y2=c2*v
  y1=c1*v
   unique(c1)

[Swarnima Khadanga]

Have you got the idea how to plt it?