HISTOGRAMIZE, a MATLAB program which takes a vector of data and organizes it into a histogram of a given number of bins with given width and range, which can be displayed as a bar chart.
The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.
HISTOGRAMIZE is available in a MATLAB version
HISTOGRAM_DATA_2D_SAMPLE, a MATLAB program which demonstrates how to construct a Probability Density Function (PDF) from a frequency table over a 2D domain, and then to use that PDF to create new samples.
HISTOGRAM_DISCRETE, a MATLAB library which tries to make a histogram of data without using bins.
HISTOGRAM_DISPLAY, a MATLAB program which makes a bar plot of a set of data stored as columns in a file; the first column is the X values, and all the other columns are Y values to be shown as a stack of bars;
HISTOGRAM_PDF_SAMPLE, a MATLAB library which demonstrates how sampling can be done by starting with the formula for a PDF, creating a histogram, constructing a histogram for the CDF, and then sampling.
HISTOGRAM_PDF_2D_SAMPLE, a MATLAB library which demonstrates how uniform sampling of a 2D region with respect to some known Probability Density Function (PDF) can be approximated by decomposing the region into rectangles, approximating the PDF by a piecewise constant function, constructing a histogram for the CDF, and then sampling.
SNAKES_HISTOGRAM, a MATLAB library which produces histograms of the count, PDF and CDF estimates for the length of a one-player game of Snakes and Ladders, produced by simulating N games.
TRIANGLE_HISTOGRAM, a MATLAB program which computes histograms of data on the unit triangle in 2D.
TRIANGULATION_HISTOGRAM, a MATLAB program which computes histograms of data over a triangulation.