Hello! I am trying to produce a histogram of measurement data (orientation of archaeological structures) that are a subject to measurement error. The normal histogram just computes frequencies, but does not take into account that a particular value is spread over a range of values (in my case the spread is different for reach measurement and is larger than the bin size).
The closest approach is kernel density estimation (in the image is a comparison of histogram and KDE): http://en.wikipedia.org/wiki/Kernel_density_estimation http://en.wikipedia.org/wiki/File:Comparison_of_1D_histogram_and_KDE.png However in my case the kernel size is different for each value. I wrote a program in IDL that performs the plotting, but am just wondering if such a function is available in R. Basically it is a problem of summing (and later plotting) several data distributions. I would appreciate also any hint to a book that might be dealing with the problem. I am not an expert in statistics and I might not be using use the correct terminology in web searches. Regards, Kristof ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
