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view scripts/plot/pareto.m @ 14001:5f0bb45e615c
doc: Update documentation for functions returning a graphics handle h (Bug #34761)
* voronoi.m, image.m, imagesc.m, imshow.m, area.m, bar.m, barh.m, clabel.m,
clf.m, compass.m, ezcontour.m, ezcontourf.m, ezmesh.m, ezmeshc.m, ezplot.m,
ezplot3.m, ezpolar.m, ezsurf.m, ezsurfc.m, feather.m, fill.m, findall.m,
findobj.m, loglog.m, mesh.m, pareto.m, patch.m, pie.m, pie3.m, plot.m, polar.m,
quiver.m, quiver3.m, rectangle.m, ribbon.m, rose.m, scatter.m, scatter3.m,
semilogx.m, semilogy.m, slice.m, stem.m, surf.m, surface.m, text.m, title.m,
trimesh.m, triplot.m, trisurf.m, xlabel.m, ylabel.m, zlabel.m:
Update documentation for functions returning a graphics handle h.
author | Rik <octave@nomad.inbox5.com> |
---|---|
date | Tue, 06 Dec 2011 13:09:17 -0800 |
parents | cefd568ea073 |
children | 72c96de7a403 |
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## Copyright (C) 2007-2011 David Bateman ## Copyright (C) 2003 Alberto Terruzzi ## ## This file is part of Octave. ## ## Octave is free software; you can redistribute it and/or modify it ## under the terms of the GNU General Public License as published by ## the Free Software Foundation; either version 3 of the License, or (at ## your option) any later version. ## ## Octave 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. ## ## You should have received a copy of the GNU General Public License ## along with Octave; see the file COPYING. If not, see ## <http://www.gnu.org/licenses/>. ## -*- texinfo -*- ## @deftypefn {Function File} {} pareto (@var{x}) ## @deftypefnx {Function File} {} pareto (@var{x}, @var{y}) ## @deftypefnx {Function File} {} pareto (@var{h}, @dots{}) ## @deftypefnx {Function File} {@var{h} =} pareto (@dots{}) ## Draw a Pareto chart, also called ABC chart. A Pareto chart is a bar graph ## used to arrange information in such a way that priorities for process ## improvement can be established. It organizes and displays information ## to show the relative importance of data. The chart is similar to the ## histogram or bar chart, except that the bars are arranged in decreasing ## order from left to right along the abscissa. ## ## The fundamental idea (Pareto principle) behind the use of Pareto ## diagrams is that the majority of an effect is due to a small subset of the ## causes, so for quality improvement the first few (as presented on the ## diagram) contributing causes to a problem usually account for the majority ## of the result. Thus, targeting these "major causes" for elimination ## results in the most cost-effective improvement scheme. ## ## The data are passed as @var{x} and the abscissa as @var{y}. If @var{y} is ## absent, then the abscissa are assumed to be @code{1 : length (@var{x})}. ## @var{y} can be a string array, a cell array of strings or a numerical ## vector. ## ## The optional return value @var{h} is a 2-element vector with a graphics ## handle for the created bar plot and a second handle for the created line ## plot. ## ## An example of the use of @code{pareto} is ## ## @example ## @group ## Cheese = @{"Cheddar", "Swiss", "Camembert", ... ## "Munster", "Stilton", "Blue"@}; ## Sold = [105, 30, 70, 10, 15, 20]; ## pareto (Sold, Cheese); ## @end group ## @end example ## @end deftypefn function h = pareto (varargin) if (nargin != 1 && nargin != 2) print_usage (); endif x = varargin {1}(:).'; if (nargin == 2) y = varargin {2}(:).'; if (! iscell (y)) if (ischar (y)) y = cellstr (y); else y = cellfun ("num2str", num2cell (y), "uniformoutput", false); endif endif else y = cellfun ("int2str", num2cell (1 : numel(x)), "uniformoutput", false); endif [x, idx] = sort (x, "descend"); y = y (idx); cdf = cumsum (x); maxcdf = max(cdf); cdf = cdf ./ maxcdf; cdf95 = cdf - 0.95; idx95 = find(sign(cdf95(1:end-1)) != sign(cdf95(2:end)))(1); [ax, hbar, hline] = plotyy (1 : idx95, x (1 : idx95), 1 : length(cdf), 100 .* cdf, @bar, @plot); axis (ax(1), [1 - 0.6, idx95 + 0.6, 0, maxcdf]); axis (ax(2), [1 - 0.6, idx95 + 0.6, 0, 100]); set (ax(2), "ytick", [0, 20, 40, 60, 80, 100], "yticklabel", {"0%", "20%", "40%", "60%", "80%", "100%"}); set (ax(1), "xtick", 1 : idx95, "xticklabel", y (1: idx95)); set (ax(2), "xtick", 1 : idx95, "xticklabel", y (1: idx95)); if (nargout > 0) h = [hbar; hline]; endif endfunction %!demo %! clf %! colormap (jet (64)); %! Cheese = {"Cheddar", "Swiss", "Camembert", "Munster", "Stilton", "Blue"}; %! Sold = [105, 30, 70, 10, 15, 20]; %! pareto (Sold, Cheese); %!demo %! clf %! % Suppose that we want establish which products makes 80 % of turnover. %! Codes = {"AB4","BD7","CF8","CC5","AD11","BB5","BB3","AD8","DF3","DE7"}; %! Value = [2.35 7.9 2.45 1.1 0.15 13.45 5.4 2.05 0.85 1.65]'; %! SoldUnits = [54723 41114 16939 1576091 168000 687197 120222 168195, ... %! 1084118 55576]'; %! pareto (Value.*SoldUnits, Codes);