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Topic: Removing a location from a vector.
Replies: 4   Last Post: Mar 25, 2013 3:54 PM

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Posts: 9,850
Registered: 6/7/07
Re: Removing a location from a vector.
Posted: Mar 24, 2013 9:50 PM
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On 3/24/2013 3:50 PM, Skylar wrote:
> I am making comparisons between three different vectors, testing to see
> if the data at these given locations is the same.
> Here is the program so far:
> Tot_Press = find(suture2(:,3)<60|suture2(:,3)>70); %This finds which


> Tot_Temp = find(suture2(:,2)<150|suture2(:,2)>170); %This finds which


> Tot_DT = find(suture2(:,4)<2.0|suture2(:,4)>2.5); %This finds which of


> for i=0:26
> if (Tot_Press(i) == Tot_Temp(i)) | (Tot_Press(i) == Tot_DT(i))
> else
> if (Tot_Temp(i) == Tot_DT(i))
> end

Not sure what you want as end result but several problems here--first,
Matlab arrays are _always_1-based so the above loop will fail on the
first iteration w/ index out of bounds.

Next, the result of each separate find() may well be a different
length--it would seem only by rare happenstance that wouldn't be so.
So, you would need to account for that.
> As you see I have made the comparisons, but I am curious as to if there
> is a function to delete certain locations from the vectors without
> having to create another vector and store all data that is not equal
> into it.

How about using the helper function I posted recently...

function flg=iswithin(x,lo,hi)
% Logical T if x between lo and hi, inclusive
flg = (x>=lo) & (x<=hi);

ixPr = ~iswithin(suture2(:,3),60,70);
ixT = ~iswithin(suture2(:,2),150,170);
ixDT = ~iswithin(suture2(:,4),2.0,2.5);

Now you have three logical vectors of the same length as the original
array but with T (ones) where the condition in each is so. NB the ~ to
negate the inclusive within test to get the opposite of your test.

With that you can then find which are true collectively by simply
writing the expression

ixAll = all([ixPr ixT ixDT],2);

which will be a logical (column) vector of the same length but T only
where each of the three conditions you've tested for is simultaneously T.

Again, not sure where you're headed, but hopefully that gives some
ideas. Note that to get the values you then simply can write
expressions like


to get the full dataset (all columns) for the rows found.


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