elseif that goes through previous statements but with different parameters

I have a model that is extremely repetitive that I want to make more effecient, easier to change, and reduce likelihood of mistakes. It's a bunch of if else statements that are set up similarly but have varying parameters that represent different probabilities. Here's a snippet to try and paint the picture:

elseif  e(t) == 1 %patch 1 is high and patch 2 is low
                        %obs going to patch 1
                        if rand() < p5(siminfo1state(t,j),siminfo2state(t,j))
                            if rand() < nn11 %nn11: prob of obs finding food in patch 1
                                simphystate(t+1,j) = simphystate(t,j)-1+3; %obs didn't watch and found food
                                siminfo1state(t+1,j) = siminfo1state(t,j)+1; %obs found food in patch 1
                                siminfo2state(t+1,j) = siminfo2state(t,j);
                                patchused(t,j) = 1;
                                patchfood(t,j) = 11;
                                info1gained(t+1,j) = info1gained(t,j)+1;
                            else %prob of obs not finding food in patch 1
                                simphystate(t+1,j) = simphystate(t,j)-1; %obs didn't watch and didn't find food
                                siminfo1state(t+1,j) = siminfo1state(t,j)-1; %obs didn't find food in patch 1
                                siminfo2state(t+1,j) = siminfo2state(t,j);
                                patchused(t,j) = 1;
                                patchfood(t,j) = 12;
                                info1gained(t+1,j) = info1gained(t,j)+1;
                            end
                            %obs going to patch 2
                        else
                             if rand() < nn21 %nn21: prob of obs finding food in patch 2
                                simphystate(t+1,j) = simphystate(t,j)-1+3; %obs didn't watch and found food
                                ...

there are 4 different environments represented by e(t) and they all run through the same code except nn11 and nn21 change to different parameters for each of the 4 e(t). Is there a way I can do some sort of

                                if e(t) == 1
                                    %go through all the code that has
                                    %specified parameters
                                elseif e(t) == 2
                                 % go through as if e(t) == 1 
                                 % but nn11 == nn12, nn21 == nn22 etc.
                                end

Answer 1

[Torsten]

if e(t)==1
    nn1 = nn11; nn2 = nn21;
elseif e(t)==2
    nn1 = nn12; nn2 = nn22;
elseif e(t)==3
    nn1 = nn13; nn2 = nn23;
elseif e(t)==4
    nn1 = nn14; nn2 = nn24;
end

if rand() < p5(siminfo1state(t,j),siminfo2state(t,j))
    compare = nn1;
else
    compare = nn2;
end

if rand() < compare 
    simphystate(t+1,j) = simphystate(t,j)-1+3; %obs didn't watch and found food
    siminfo1state(t+1,j) = siminfo1state(t,j)+1; %obs found food in patch 1
    siminfo2state(t+1,j) = siminfo2state(t,j);
    patchused(t,j) = 1;
    patchfood(t,j) = 11;
    info1gained(t+1,j) = info1gained(t,j)+1;
else 
    simphystate(t+1,j) = simphystate(t,j)-1; %obs didn't watch and didn't find food
    siminfo1state(t+1,j) = siminfo1state(t,j)-1; %obs didn't find food in patch 1
    siminfo2state(t+1,j) = siminfo2state(t,j);
    patchused(t,j) = 1;
    patchfood(t,j) = 12;
    info1gained(t+1,j) = info1gained(t,j)+1;
end

Answer 2

[Walter Roberson]

Maybe

[~, bin] = ismember(e(t), [1 2]);
if bin > 0
    if rand() < p5(siminfo1state(t,j),siminfo2state(t,j))
        if rand() < nn1(bin) %nn11: prob of obs finding food in patch 1
            simphystate(t+1,j) = simphystate(t,j)-1+3; %obs didn't watch and found food
            siminfo1state(t+1,j) = siminfo1state(t,j)+1; %obs found food in patch 1
            siminfo2state(t+1,j) = siminfo2state(t,j);
            patchused(t,j) = 1;
            patchfood(t,j) = 11;
            info1gained(t+1,j) = info1gained(t,j)+1;
        else %prob of obs not finding food in patch 1
            simphystate(t+1,j) = simphystate(t,j)-1; %obs didn't watch and didn't find food
            siminfo1state(t+1,j) = siminfo1state(t,j)-1; %obs didn't find food in patch 1
            siminfo2state(t+1,j) = siminfo2state(t,j);
            patchused(t,j) = 1;
            patchfood(t,j) = 12;
            info1gained(t+1,j) = info1gained(t,j)+1;
        end
        %obs going to patch 2
    else
        if rand() < nn2(bin) %nn21: prob of obs finding food in patch 2
            simphystate(t+1,j) = simphystate(t,j)-1+3; %obs didn't watch and found food
        end
    end
end

That is, bundle the parameters nn1* and nn2* into vectors, and index the vectors according to the position matched?