Provided by: gbutils_5.7.0-1_amd64
gbker - Produce kernel density estimation
Compute the kernel density estimation on an equispaced grid. Data are read from standard input. The kernel bandwidth, if not provided with the option -H, is set automatically using simple heuristics. Normally the whole support is displayed. The option -w can be used to restrict the computation to specific range of values. The method used to compute the density is set by the option -M. The boundaries of the grid are slightly different in the different cases.
-n number of equispaced points/bins where the density is computed (default 64) -w set the grid boundaries with min,max (default whole support) -H set the kernel bandwidth -S scale the automatic kernel bandwidth -K choose the kernel to use (default 0) 0 Epanenchnikov 1 Rectangular 2 Gaussian 3 Laplacian -M choose the method for density computation (default 0) 0 use FFT (# grid points rounded to nearest power of 2) 1 use discrete convolution (compact kernels only; bins>2) 2 explicit summation (boundaries excluded) -F specify the input fields separators (default " \t")
gbker -n 128 -K 2 < file use a Gaussian kernel to compute the density on 128 equispaced points with the FFT approach. All the data in 'file' are used, multiple columns are pooled. gbker -K 3 -M 2 < file use a Laplacian kernel to compute the density on 64 points. The method used is the explicit summation.
Written by Giulio Bottazzi
Report bugs to <firstname.lastname@example.org> Package home page <http://cafim.sssup.it/~giulio/software/gbutils/index.html>
Copyright © 2001-2015 Giulio Bottazzi This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License (version 2) as published by the Free Software Foundation; This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.