MATLAB: How to normalize y axis

normalize mean of y axis

hi, i want to plot the mean percentage of y of each bin of x, (percentage of mean dose) at binned distances. this code is working and i got result of mean dose at each bin, but i need to normalize the y axis (mean of each binned x axis), so i can have % of y, any idea please?

load Bladder_dist_dose.txt; x=Bladder_dist_dose(:,1); y=Bladder_dist_dose(:,3); counter = 1

   for m= (min(x)):0.5 : (max(x))
     interval = x > m & x < m+0.5;% after running the loop it keeps the run results
     distance(counter,1) = mean(x(interval));
     Mean_dose_interval(counter,1) = mean(y(interval));
     err (counter,1) = std(y(interval)); mean(y(interval))
     counter=counter+1;
   end

errorbar(distance, Mean_dose_interval,err,'r'); xlabel('Distance to PTV [cm]'); ylabel('Mean dose at distance [Gy]')

Best Answer

Why not simply use histogram()???

Related Solutions

MATLAB: Mean percentage corresponding to x binned

It looks like Mean_dose_interval is 2-dimensional and you're assigning a 2D array to a single indexed location (ie 1D) in this line from your code:

Mean_perc (counter,1) = (Mean_dose_interval/size(interval,1))*100;

In other words, --"(Mean_dose_interval/size(interval,1))*100"-- is 2D and you're trying to put that in -- "Mean_perc (counter,1)" -- which is 1D

Here's a simpler example of the ERROR (ie, this will break)

g = [0 0]; 
g(1,1) = [1 2];

MATLAB: Normalized distribution for histogram

If you have the Statistics Toolbox, you might find the dfittool distribution fitting tool quite useful.

doc dfittool

If not, you can normalize a histogram by scaling the counts in each bin. With the normalized counts, you can plot both the normalized histogram and your curve. The trick is to identify the appropriate scaling factor.

Here is some example code where I plot the normal probability with the normalized histogram data:

% Arbitrary data generation and statistics
dataVec = randn(1000,1);
muData = mean(dataVec);
stdData = std(dataVec);
% Defining the bin centers
binStep    = 0.1;
binCenters = -5:binStep:5;
% Compute the histogram scaling factor. (If all histogram counts are in a
% single bin, the probability = 1)
binCount   = histc(dataVec,binCenters);
probScale  = sum(binCount)*binStep;
% Plot the normalized histogram and change the bar color for line
% visibility
histHandle = bar(binCenters,binCount/probScale,'hist');
set(histHandle,'FaceColor',[1,1,1]); 
hold on;
% Overlay the distribution fit on the histogram
x = binCenters;
y = normpdf(x,muData,stdData);
plot(x,y);
xlabel('Data');
ylabel('Probability');

Hope this helps to get you started!

Best Answer

Related Solutions

MATLAB: Mean percentage corresponding to x binned

MATLAB: Normalized distribution for histogram

Related Question