Sorting elements according to an array
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I will try my best to phrase this question, hope it makes sense
I have 2 arrays, DATA which has useful data and SCALE which has the scale where I am fitting the data to.
DATA has numbers from 1-100 in random order, and SCALE has distinct intervals of tens from 1-100, i.e. 1,10,20,30...90,100
My goal is the write a code which clumps the elements from DATA to SCALE to do calulations such as SCALE-DATA (for example, 36 is the DATA element, the SCALE element should be 40 and it would be 40-36)
example - 7 will be rounded up to 10, and 23 will be rounded down to 20.
I understand the commands ciel and floor, however I am not sure what is the most efficient way to match the rounded data to the scale?
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Star Strider
2020-5-28
I am not certain what you want.
Try this:
DATA = randi([1 100], 25, 1); % Create DATA
SCALE = 10*round(DATA/10).*(DATA>=10) + 10*round(DATA/10).*(DATA<10);
Out = [DATA, SCALE];
.
10 个评论
Star Strider
2020-5-29
My pleasure!
I am still not certain that I understand what you want, so I will give it another shot:
Out = sortrows([SCALE DATA],1)
the rest of the code is unchanged.
I do not understand this: 24~20 or what you want to do with it. It is not likely that it will work as a single column in MATLAB.
Hans123
2020-5-29
Star Strider
2020-5-29
I am completely lost.
I will delete my Answer in a few minutes.
Hans123
2020-5-29
Again, since I lost my command of the English language.
I have points scattered on the x axis, and I want the points to rounded up to the nearest division.
Star Strider
2020-5-29
Try this:
DATA = randi([1 100], 1, 25); % Create ‘DATA’
SCALEfcn = @(x) 10*round(x/10).*(x>=10) + 10*round(x/10).*(x<10);
SCALE = linspace(0,100,11);
for k = 1:numel(SCALE)-1
Out{k,:} = [SCALE(k) DATA((SCALEfcn(DATA) >= SCALE(k)) & (SCALEfcn(DATA) < SCALE(k+1)))];
end
I still do not understand what you want. This sort of histogram approach is as close as I can get.
Experiment with it to get different results.
Hans123
2020-5-29
Star Strider
2020-5-29
As always, my pleasure!
Thank you very much for your compliments and sentiments!
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