How to use splitapply function to find a mean value for part of plot ?

Hello Everyone,
I am in trouble with splitapply function. It is a bit difficult to describe here but I will try.
I have upload picture and as it is specified in the picture with the horizontal red lines, i have separated my whole circle into the section with 4 cm distance.
Now, what I want to do, in each section I have load value and I need a mean value for each section.
I think by using the splitapply we can split the whole data into the section with 4 cm each but do not how to do.
If you have any suggestion to do this beside splitapply please let me know.
I have a different colours for load and after finding the mean load value for each section based on my color scale, I will have a kind of bar graph with different colors in each section - This parts is just to explain that what is my main target.
If someone can help I really appreciate. I hope my question is clear.
Thanks

2 Comments

Use histcounts w/ optional third output bin as the grouping variable.
Could you please specify, how can I apply this function. I am not very close with this code.

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Answers (1)

try round
y1 = round(y-min(y))+1; % make all yy values 1 2 3 4 ...
n = max(y1); % highest number
a = zeros(n,1); % preallocate mean value
m = zeros(n,1); % preallocate number of values in section
for i = 1:numel(y1)
i1 = y1(i);
m(i1) = m(i1) + 1; % increase number of values
a(i1) = a(i1) + val(i1); % sum values
end
a = a./m;

3 Comments

I am not sure that I understood this code clearly.
So let me to explain what is my data. I use scatter3 funtion to plot 3D.
The picture which I uploaded is the front view of my plot.
Now I want to split this plot into the section as I did in the picture with red line.
What I was asked to do is to split the plot into the section with the same width 4 cm .
However, this also could be possible to split the plot into the section based on the z axis values. I mean in my z axis values are -20,0,20,40,60,80. The by using this range for example extracting the data which sit between 40-60 then plot only this data. Thus we will be able to split the plot into the section based on different ranges of z.
Do you think this could work or based on my explanation could you please clarify your code that how I need to implement it for my data.
I see that your data is splitted in [-4 -3 ... 3 4] sections. So i just rounded all your data such that all values of green points [1 2 ... 7 8]
Example. I want to split data (circle radius 3) in section of 0.5 size. So i replaced data to 'zero' point and multiplied by 2 , rounded and divided by 2. Finally moved to origin
[x,y] = pol2cart(0:.1:2*pi,3);
y1 = round( (y-min(y))*2 )/2 + min(y);
plot(x,y,'.-r')
hold on
plot(x,y1,'ob')
hold off
axis equal

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Asked:

on 15 May 2020

Commented:

on 19 May 2020

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