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Exercise2: Write the following matlab code in R yDataMatrix = zeros(n,m); sStar_Hat = zeros(m,1); for e = 1:m uVec = rand(n,1); yData = arrayfun(@(x)QuantileYLN(x,c,t,T,theta,sigma),uVec); sStar_Hat(e)
Exercise2: Write the following matlab code in R
yDataMatrix = zeros(n,m);
sStar_Hat = zeros(m,1);
for e = 1:m
uVec = rand(n,1);
yData = arrayfun(@(x)QuantileYLN(x,c,t,T,theta,sigma),uVec);
sStar_Hat(e) = sum(yData < c.*(T-t))/n;
yDataMatrix(:,e) = yData;
%waitbar(e/(3*m));
end
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