Histogram
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Hi everybody. I have an array.
1) I do a histfit(data) to get a histogram representation of my data with a normal distribution curve on top. I want a 3rd thing on this graph and that is a smooth line representing the data (so I want the curve representing the distribution of my data on top of this to compare with the normal distribution)
Thanks.
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Tom Lane
2012-2-19
There is a ksdensity function that can produce a kernel-smooth density estimate. The issue is that it produces a density (integrates to 1) and the histogram is not a density (bar heights sum to 1). You could figure out the area of the histogram and re-scale the ksdensity values. Alternatively, here's a way to create the histgram, normal curve, and kernel density separately:
x = [randn(100,1); 4+randn(50,1)];
[hts,ctrs] = hist(x)
bar(ctrs,hts,'hist')
area = sum(hts) * (ctrs(2)-ctrs(1))
xx = linspace(-3,7);
hold on; plot(xx,area*normpdf(xx,mean(x),std(x)),'r-')
f = ksdensity(x,xx);
plot(xx,area*f,'g-')
hold off
2 个评论
tiago
2013-9-11
Hi, thanks a lot for the help with the code There is any way to know the r^2 of the normal curve?
Thanks in advance
Tom Lane
2013-9-11
The normal curve is computed from the raw data, which is one-dimensional rather than the two-dimensional x/y data normally associated with R^2. So while maybe you could make something up related to the bar heights and the density values, I don't think there is a good way to apply R^2 here.
更多回答（2 个）
Jyoti Verma
2019-11-13
0 个投票
a=[4,5,1,2,2,3,4,2,2,1]
b=[4;5;1;2;2;3;4;2;2;1]
n=length(a);
RangeMax=max(a);
RangeMin=min(a);
sizehist=RangeMax-RangeMin+1;
histogram=zeros(sizehist,1);
for i=1:n
histogram(a(i))=histogram(a(i))+1;
end
bar(histogram);
pavan kumar
2021-8-6
0 个投票
What is the procedure to find the Histogram coefficients?
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