Why am I getting two different plots for the exact same matrix?

Hello, I am trying to plot these two matrices. One of them (BFF) I made myself while the other one (SF) is one i found, but I have compared the two and they should be the same (which is what I want, to replicate the Matrix SF). I made the matrix BFF from the vector fM1S1, but when I try to plot the two exact matrix, I get completely different results. Why?

[madhan ravi]

upload your code and file

[OCDER]

What does this return?

isequal(BFF, SF)  %if 0, they're not the same

or

SF(BFF ~= SF)   %if not empty, these are the values that are different

[John Vargas]

I am sorry, I am not sure how to upload the full file since it exceeds the 5 MB, but I will upload them separately. I basically used the 'reshape' command to make the matrix BFF.

[John Vargas]

Here is the single vector I am using to make BFF. Also, @OCDER, I used the 'isequal' command and got a value of 0, meaning they are not equal but they should be. Earlier I used the ' == ' command to check if the matrix were equal and they seemed to match.

[Walter Roberson]

>> max(BFF(:)-SF(:))
ans =
                0.00204231

Perhaps you are encountering noticeable round-off error. If you entered data from a printed table, the table might not have shown all of the decimal places the data really had, and that can result in calculations not coming out as you expect them to.

Answer 1

[Thorsten]

Maybe it helps if you transpose the matrix to get it right.

[John Vargas]

I just tried this, still did not work.

[Thorsten]

If they are not equal, how large is the difference? Maybe it is just a few eps.

[John Vargas]

I plotted the two matrices to show how far off the results were and as you can see from the picture, I believe the different is very large.

[Walter Roberson]

As outsiders, we have no reason to expect that the two matrices should be the same.

>> max(BFF(:))
ans =
                0.00204256
>> max(SF(:))
ans =
                   2.5e-07
>> min(BFF(:))
ans =
     0
>> min(SF(:))
ans =
     0

You can see from these values that it is pretty certain that there will be some point where the difference between the two exceeds 0.002, or roughly a factor of 8000 compared to the smaller matrix.