I created a histogram plot using data from a file and no problem. Now I wanted to superpose data from another file in the same histogram, so I do something like this
is there a known algorithm + data-structure to maintain a dynamical histogram? Imagine I have a stream of data (x_1, w_1) , (x_2, w_2), ... where the x_t are doubles, that represent some measured var
I am getting an ambiguity error in OpenCV when I am trying to calculate a histogram and was wondering if I was missing something. I took a look at the function parameters and saw that it took one of t
I\'m currently using the ggplot package to plot a histogram of normal variates with a N(0, 1) density overlay. I\'m very new to this package and the code I\'m using is
I have an image and my aim is to binarize the image. I have filtered the image with a low pass Gaussian filter and have computed the intensity histogram of the image.
I want to draw several histograms. But I want the Y a开发者_运维知识库xis to be fixed, like from 1000 to 1 by 100. How can I specify them。
I am trying to track objects inside an image using histogram data from the object. I pass in a reference image to get the histogram data and store it in a Mat. From there I load in an image and try an
I am a bit new to R and I was experimenting with ggplot. I have a table like this: table http://dl.dropbox.com/u/43697/temporary/data_frame.jpg
I would like to plot a histogram with mean (average) value on it (e.g. we could mark it with a blue and bold line).
The probability distribution of the sum of two random variables, x and y, is given by the convolution of the individual distributions. I\'m having some trouble doing this numerically. In the following
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