for i=1:100
x(i)=normrnd(0,1);
end;
A=x(:);
for i=1:100
if (A(i)<0.9557 & A(i) > 0)
Aq(i)=0.497;
elseif (A(i)>0.9957)
Aq(i)=1.493;
elseif (A(i)<-0.9957)
Aq(i)=-1.493;
else
(A(i)>-0.9957 & A(i) <0)
Aq(i)=-0.497;
end;
end;
sum=0;
for i=1:100
sum = (A(i)-Aq(i))^2+sum;
end;
Avg = sum/100

2 commentaires

Mohamed - look closely at your else
else
(A(i)>-0.9957 & A(i) <0)
Aq(i)=-0.497;
end;
Should this be an elseif instead where (A(i)>-0.9957 & A(i) <0) is the condition?
Mohamed Mahir
Mohamed Mahir le 3 Avr 2020
Thank you very much it fixed it

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 Réponse acceptée

Steven Lord
Steven Lord le 3 Avr 2020

1 vote

Another approach uses discretize.
>> A = randn(10, 1);
>> edges = [-Inf -0.9957 0 0.9957 Inf];
>> values = [-1.493, -0.497, 0.497, 1.493];
>> Aq = discretize(A, edges, values);
>> results = table(A, Aq)
If an element of A falls between (for example) edges(2) and edges(3) the corresponding element in Aq will be values(2).
I put the results in a table array so you can easily check that each element of Aq matches what it should be for the corresponding element of A.

Plus de réponses (1)

David Hill
David Hill le 3 Avr 2020
Modifié(e) : David Hill le 3 Avr 2020

0 votes

Much easier way:
A=normrnd(0,1,[100,1]);
[~,~,a]=histcounts(A,[-10,-.9957,0,.9957,10]);
b=[-1.493;-0.497;0.497;1.493];
Aq=b(a);
s=sum((A-Aq).^2);
Avg = s/100;

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