Finding a series of numbers in a vector which correspond with a series of numbers in a different vector.

Question

Daniel 2016-2-8

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/267119-finding-a-series-of-numbers-in-a-vector-which-correspond-with-a-series-of-numbers-in-a-different-vec

编辑： Stephen23 2016-2-8

I Have two vectors for example,

 Yaw = [9 9 8 9 10 10 10 10 14 15 15 15 15];%Degrees, 
 Speed = [212 212 213 180 200 190 200 200 200 210 210 210 150];%KNOTS

I need to count the number of times Yaw is at 9 and Speed above 210. In other words

for i = 1:length(Yaw)
if Yaw(i) == 9 && Speed(i) >= 210;
count9 = count9 + 1;
elseif Yaw(i) == 10 && Speed(i) >= 200;
count10 = count10 + 1;
elseif Yaw(i) == 15 && Speed(i) >= 150;
count15 = count15 + 1;
end
end

Is there a more efficient way. The vectors I am working with are very large. I also need to know the indices. i.e. the exact speed at the 9 10 or 15 degrees yaw in order to perform further calculations.

I'd appreciate any advice. Thanks

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Answer 1

Stephen23 2016-2-8

1
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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/267119-finding-a-series-of-numbers-in-a-vector-which-correspond-with-a-series-of-numbers-in-a-different-vec#answer_208968

编辑：Stephen23 2016-2-8

在 MATLAB Online 中打开

The most efficient way is to write vectorized code:

Yaw   = [  9,  9,  8,  9, 10, 10, 10, 10, 14, 15, 15, 15, 15]; % Degrees
Speed = [212,212,213,180,200,190,200,200,200,210,210,210,150]; % KNOTS
Ychk = [  9; 10; 15];
Schk = [210;200;150];
Yidx = bsxfun(@eq,Yaw,  Ychk);
Sidx = bsxfun(@ge,Speed,Schk);
idx = Yidx & Sidx; % these are the indices
sum(idx,2)

this shows the answer in the command window:

(two values with Yaw==9 and speed>=210, three values with yaw==10 and speed>=200, four values with yaw==15 and speed>=150). Note that the orientation of the inputs to bsxfun is critical, and that each row of the output variable idx corresponds to one pair of the "check" values.

PS: Don't create separate variables with meta-data in their names (e.g. yaw). Although beginners love doing this it always leads to bad programming decisions later. Keep your data in as few variables as possible. Because I keep the outputs in single variables it means the code will adapt automatically when you change the input values or number of input checks. Code like this is simpler and more adaptable: don't put meta data into your variable names! Here is why:

http://www.mathworks.com/matlabcentral/answers/225435-save-variable-as-string-from-user-input

http://www.mathworks.com/matlabcentral/answers/196952-how-to-create-new-variables-in-batches-with-strcat