Mercurial > hg > octave-nkf
annotate scripts/plot/pareto.m @ 14868:5d3a684236b0
maint: Use Octave coding conventions for cuddling parentheses in scripts directory
* lin2mu.m, loadaudio.m, wavread.m, accumarray.m, bicubic.m, celldisp.m,
colon.m, cplxpair.m, dblquad.m, divergence.m, genvarname.m, gradient.m,
int2str.m, interp1.m, interp1q.m, interp2.m, interpn.m, loadobj.m, nthargout.m,
__isequal__.m, __splinen__.m, quadgk.m, quadl.m, quadv.m, rat.m, rot90.m,
rotdim.m, saveobj.m, subsindex.m, triplequad.m, delaunay3.m, griddata.m,
inpolygon.m, tsearchn.m, voronoi.m, get_first_help_sentence.m, which.m,
gray2ind.m, pink.m, dlmwrite.m, strread.m, textread.m, textscan.m, housh.m,
ishermitian.m, issymmetric.m, krylov.m, logm.m, null.m, rref.m,
compare_versions.m, copyfile.m, dump_prefs.m, edit.m, fileparts.m,
getappdata.m, isappdata.m, movefile.m, orderfields.m, parseparams.m,
__xzip__.m, rmappdata.m, setappdata.m, swapbytes.m, unpack.m, ver.m, fminbnd.m,
fminunc.m, fsolve.m, glpk.m, lsqnonneg.m, qp.m, sqp.m, configure_make.m,
copy_files.m, describe.m, get_description.m, get_forge_pkg.m, install.m,
installed_packages.m, is_architecture_dependent.m, load_package_dirs.m,
print_package_description.m, rebuild.m, repackage.m, save_order.m, shell.m,
allchild.m, ancestor.m, area.m, axes.m, axis.m, clabel.m, close.m, colorbar.m,
comet.m, comet3.m, contour.m, cylinder.m, ezmesh.m, ezsurf.m, findobj.m,
fplot.m, hist.m, isocolors.m, isonormals.m, isosurface.m, isprop.m, legend.m,
mesh.m, meshz.m, pareto.m, pcolor.m, peaks.m, plot3.m, plotmatrix.m, plotyy.m,
polar.m, print.m, __add_datasource__.m, __add_default_menu__.m,
__axes_limits__.m, __bar__.m, __clabel__.m, __contour__.m, __errcomm__.m,
__errplot__.m, __ezplot__.m, __file_filter__.m, __fltk_print__.m,
__ghostscript__.m, __gnuplot_print__.m, __go_draw_axes__.m,
__go_draw_figure__.m, __interp_cube__.m, __marching_cube__.m, __patch__.m,
__pie__.m, __plt__.m, __print_parse_opts__.m, __quiver__.m, __scatter__.m,
__stem__.m, __tight_eps_bbox__.m, __uigetdir_fltk__.m, __uigetfile_fltk__.m,
__uiputfile_fltk__.m, quiver.m, quiver3.m, rectangle.m, refreshdata.m,
ribbon.m, scatter.m, semilogy.m, shading.m, slice.m, subplot.m, surface.m,
surfl.m, surfnorm.m, text.m, uigetfile.m, uiputfile.m, whitebg.m, deconv.m,
mkpp.m, pchip.m, polyaffine.m, polyder.m, polygcd.m, polyout.m, polyval.m,
ppint.m, ppjumps.m, ppval.m, residue.m, roots.m, spline.m, splinefit.m,
addpref.m, getpref.m, setpref.m, ismember.m, setxor.m, arch_fit.m, arch_rnd.m,
arch_test.m, autoreg_matrix.m, diffpara.m, fftconv.m, filter2.m, hanning.m,
hurst.m, periodogram.m, triangle_sw.m, sinc.m, spectral_xdf.m, spencer.m,
stft.m, synthesis.m, unwrap.m, yulewalker.m, bicgstab.m, gmres.m, pcg.m, pcr.m,
__sprand_impl__.m, speye.m, spfun.m, sprandn.m, spstats.m, svds.m,
treelayout.m, treeplot.m, bessel.m, factor.m, legendre.m, perms.m, primes.m,
magic.m, toeplitz.m, corr.m, cov.m, mean.m, median.m, mode.m, qqplot.m,
quantile.m, ranks.m, zscore.m, logistic_regression_likelihood.m,
bartlett_test.m, chisquare_test_homogeneity.m, chisquare_test_independence.m,
kolmogorov_smirnov_test.m, run_test.m, u_test.m, wilcoxon_test.m, z_test.m,
z_test_2.m, bin2dec.m, dec2base.m, mat2str.m, strcat.m, strchr.m, strjust.m,
strtok.m, substr.m, untabify.m, assert.m, demo.m, example.m, fail.m, speed.m,
test.m, now.m: Use Octave coding conventions for cuddling parentheses in
scripts directory.
author | Rik <octave@nomad.inbox5.com> |
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date | Tue, 17 Jul 2012 07:08:39 -0700 |
parents | 4506eade9f04 |
children | 64e7bb01fce2 |
rev | line source |
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1 ## Copyright (C) 2007-2012 David Bateman |
7220 | 2 ## Copyright (C) 2003 Alberto Terruzzi |
3 ## | |
4 ## This file is part of Octave. | |
5 ## | |
6 ## Octave is free software; you can redistribute it and/or modify it | |
7 ## under the terms of the GNU General Public License as published by | |
8 ## the Free Software Foundation; either version 3 of the License, or (at | |
9 ## your option) any later version. | |
10 ## | |
11 ## Octave is distributed in the hope that it will be useful, but | |
12 ## WITHOUT ANY WARRANTY; without even the implied warranty of | |
13 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
14 ## General Public License for more details. | |
15 ## | |
16 ## You should have received a copy of the GNU General Public License | |
17 ## along with Octave; see the file COPYING. If not, see | |
18 ## <http://www.gnu.org/licenses/>. | |
19 | |
20 ## -*- texinfo -*- | |
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21 ## @deftypefn {Function File} {} pareto (@var{x}) |
7220 | 22 ## @deftypefnx {Function File} {} pareto (@var{x}, @var{y}) |
23 ## @deftypefnx {Function File} {} pareto (@var{h}, @dots{}) | |
24 ## @deftypefnx {Function File} {@var{h} =} pareto (@dots{}) | |
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25 ## Draw a Pareto chart, also called ABC chart. A Pareto chart is a bar graph |
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26 ## used to arrange information in such a way that priorities for process |
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27 ## improvement can be established. It organizes and displays information |
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28 ## to show the relative importance of data. The chart is similar to the |
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29 ## histogram or bar chart, except that the bars are arranged in decreasing |
7220 | 30 ## order from left to right along the abscissa. |
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31 ## |
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32 ## The fundamental idea (Pareto principle) behind the use of Pareto |
7220 | 33 ## diagrams is that the majority of an effect is due to a small subset of the |
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34 ## causes, so for quality improvement the first few (as presented on the |
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35 ## diagram) contributing causes to a problem usually account for the majority |
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36 ## of the result. Thus, targeting these "major causes" for elimination |
7220 | 37 ## results in the most cost-effective improvement scheme. |
38 ## | |
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39 ## The data are passed as @var{x} and the abscissa as @var{y}. If @var{y} is |
7220 | 40 ## absent, then the abscissa are assumed to be @code{1 : length (@var{x})}. |
41 ## @var{y} can be a string array, a cell array of strings or a numerical | |
42 ## vector. | |
43 ## | |
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44 ## The optional return value @var{h} is a 2-element vector with a graphics |
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45 ## handle for the created bar plot and a second handle for the created line |
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46 ## plot. |
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47 ## |
7220 | 48 ## An example of the use of @code{pareto} is |
49 ## | |
50 ## @example | |
51 ## @group | |
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52 ## Cheese = @{"Cheddar", "Swiss", "Camembert", ... |
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53 ## "Munster", "Stilton", "Blue"@}; |
7220 | 54 ## Sold = [105, 30, 70, 10, 15, 20]; |
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55 ## pareto (Sold, Cheese); |
7220 | 56 ## @end group |
57 ## @end example | |
58 ## @end deftypefn | |
59 | |
60 function h = pareto (varargin) | |
61 | |
62 if (nargin != 1 && nargin != 2) | |
63 print_usage (); | |
64 endif | |
65 | |
66 x = varargin {1}(:).'; | |
67 if (nargin == 2) | |
68 y = varargin {2}(:).'; | |
69 if (! iscell (y)) | |
70 if (ischar (y)) | |
10549 | 71 y = cellstr (y); |
7220 | 72 else |
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73 y = cellfun ("num2str", num2cell (y), "uniformoutput", false); |
7220 | 74 endif |
75 endif | |
76 else | |
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77 y = cellfun ("int2str", num2cell (1 : numel (x)), |
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78 "uniformoutput", false); |
7220 | 79 endif |
80 | |
81 [x, idx] = sort (x, "descend"); | |
82 y = y (idx); | |
83 cdf = cumsum (x); | |
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84 maxcdf = max (cdf); |
7221 | 85 cdf = cdf ./ maxcdf; |
7228 | 86 cdf95 = cdf - 0.95; |
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87 idx95 = find (sign (cdf95(1:end-1)) != sign (cdf95(2:end)))(1); |
7220 | 88 |
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89 [ax, hbar, hline] = plotyy (1 : idx95, x (1 : idx95), |
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90 1 : length (cdf), 100 .* cdf, |
10549 | 91 @bar, @plot); |
7220 | 92 |
93 axis (ax(1), [1 - 0.6, idx95 + 0.6, 0, maxcdf]); | |
94 axis (ax(2), [1 - 0.6, idx95 + 0.6, 0, 100]); | |
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95 set (ax(2), "ytick", [0, 20, 40, 60, 80, 100], |
7220 | 96 "yticklabel", {"0%", "20%", "40%", "60%", "80%", "100%"}); |
97 set (ax(1), "xtick", 1 : idx95, "xticklabel", y (1: idx95)); | |
98 set (ax(2), "xtick", 1 : idx95, "xticklabel", y (1: idx95)); | |
99 | |
100 if (nargout > 0) | |
101 h = [hbar; hline]; | |
102 endif | |
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103 |
7220 | 104 endfunction |
105 | |
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106 |
7220 | 107 %!demo |
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108 %! clf; |
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109 %! colormap (jet (64)); |
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110 %! Cheese = {'Cheddar', 'Swiss', 'Camembert', 'Munster', 'Stilton', 'Blue'}; |
7220 | 111 %! Sold = [105, 30, 70, 10, 15, 20]; |
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112 %! pareto (Sold, Cheese); |
7220 | 113 |
114 %!demo | |
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115 %! clf; |
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116 %! % Suppose that we want establish which products makes 80% of turnover. |
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117 %! Codes = {'AB4','BD7','CF8','CC5','AD11','BB5','BB3','AD8','DF3','DE7'}; |
7220 | 118 %! Value = [2.35 7.9 2.45 1.1 0.15 13.45 5.4 2.05 0.85 1.65]'; |
119 %! SoldUnits = [54723 41114 16939 1576091 168000 687197 120222 168195, ... | |
120 %! 1084118 55576]'; | |
121 %! pareto (Value.*SoldUnits, Codes); | |
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122 |