plot with 4 loops.

Hello Matlabers,

I have 4 variables. I want to make a plot of meanERROR vs rank

SNR=[15,30,50];
MV=[0.1:0.1:0.9,0.95,0.99];
rank=2:2:20;
TestNum= 5;
meanERROR;

My code is as follows. Initially I was making a surf over 3 dimensions SNR, MV and TestNum. So for every iteration of rank, i make surf plots over the aforementioned dimension.

for kk=1:length(rank)
    for l=1:length(SNR)
        for k=1:length(MV)
            for i=1:5
              load( ['theoRRE/theo_NMF_','.mat']); % Load my ERROR data, and pick the last values and store in rRE_NMF
              rRE_NMF(l,k,i)= theo_NMF1(end);
              end
        end
    end
    Mean_RRE_NMF = mean(rRE_NMF,3);
    surf(MV_raw,SNRR,Median_RRE_NMF,'FaceColor',[1 0 0],'FaceAlpha',0.5)
end
 

Now i want to I want to see the evolution of my ERROR for Every SNR and every MV in a normal plot (not a surf) of ERROR vs rank. How do i deal with these loops.

so for example

SNR=15, MV=0.1 pot(error vs rank)
SNR=15, MV=0.1 plot(error vs rank)
.
.
SNR=15, MV=0.99 plot(error vs rank)
...
%SNR iter increases

 SNR=30 MV=0.1 pot(error vs rank)
 SNR=30, MV=0.1 plot(error vs rank)
 SNR=30, MV=0.99 plot(error vs rank)
...
%SNR iter increases
 SNR=50 MV=0.1 pot(error vs rank)
 SNR=50, MV=0.1 plot(error vs rank)
 .
 .
 SNR=50, MV=0.99 plot(error vs rank)

so for 1 ieration of SNR i have 11 plots since MV is size 1x11. in the end i have a 3x11=33 plots