EDA365欢迎您登录!
您需要 登录 才可以下载或查看,没有帐号?注册
x
% beautiful matlab boxplots
. ~2 F3 v" I/ ?8 n& f! [' J% John Bogovic" H8 |2 G: `0 ^& Y
% November 2011 %% some parameters for the plots % the order that the tags should appear on the boxplots
; u1 H' o9 E w3 ygrpOrder = {'Group1A','Group1B', 'Group1C', ..., n' w- G/ m) f2 n. ]4 ^
'Group2A','Group2B', 'Group2C'}; % positions on the x-axis to drop boxplots0 E" w: M, j# U6 O& F/ g! J" }
pos = [1 2 3 7 8 9]; % this tag tells matlab which boxes should be the same color a0 F k5 D3 t. t7 q$ j6 t
% let's color the lettered groups the same way.
& b' t4 U9 H5 x- Ballcolorgroups = {'A','B','C','A','B','C'}; % a color map. a, v0 ^2 C0 Z' F7 b& Q2 N
cmap = hsv2rgb([0 0.6 0.6; 0.3 0.6 0.6; 0.6 0.6 0.6]); %% gen some fake data datmtx = randn(600,1); % randomly pick a group for each measurement! \2 c- |+ Z9 S0 ^9 t G
grpi = randi(6,600,1);
% u, l6 F& t! V7 z# tgrp={grpOrder{grpi}};: D9 G- c7 P: P) O' D5 {
% make an appropriate colorgrouping
% Q0 V- d* c3 ]; ]* D, Y5 dcgrp = {allcolorgroups{grpi}}; %% make boxplots
' f3 S, \0 E) v- i- P: wfigure; % make the boxplots1 g# k I! [8 B
% the 'compact' plotstyle goes a long way toward making things nice! P& i5 K7 @: S
% group colors, and spacings along the x-axis are great in guiding the eye
0 r: z; \2 U. f& _8 K" Nboxplot(datmtx,grp,'plotstyle','compact','grouporder',grpOrder,...
, [! N6 ]; B& [* v! A 'symbol','k.','positions',pos,'colorgroup',cgrp,'colors',cmap,...* S, p8 q6 K' i! ~
'medianstyle','line'); grid on; % make median lines black and big
# B* H D. u& I1 Y Fset(findobj(gcf,'Tag','Median'),'Color',[0 0 0],'LineWidth',2); % make outlier dots gray and big6 p7 t* e6 }4 C9 G2 f
set(findobj(gcf,'Tag','Outliers'),'MarkerEdgeColor',[0.4 0.4 0.4],'MarkerSize',5);
. q8 V3 x V3 s9 q
4 r( }+ D6 Y9 Z- K5 I
================================================================================================== 没太深究每句话的意思,只用了以下几个属性测试: clear; clc;close all; data=randn(100,6);4 t- G# V. s' |+ n" j6 b
grpOrder = {'Group1A','Group1B', 'Group1C', ...+ j/ j# H: J; X" n! Q0 Z ~
'Group2A','Group2B', 'Group2C'};
: p6 {- d: \& I4 I: kcmap = hsv2rgb([0 0.6 0.6; 0.3 0.6 0.6; 0.6 0.6 0.6]);
: _6 r3 r& r7 j4 s, k8 nhh=boxplot(data,'grpOrder','plotstyle','compact',...
; ]: r+ t. I+ Z 'symbol','k.','colors',cmap,...
/ E( h% `1 x- \0 h: p) T# j6 { | 'medianstyle','line');, j' M% m; \4 r7 b6 W
set(findobj(gcf,'Tag','Median'),'Color',[0 0 0],'LineWidth',2);# X6 u" I; q5 D
set(findobj(gcf,'Tag','Outliers'),'MarkerEdgeColor',[0.4 0.4 0.4],'MarkerSize',5);
2 H% b; ?1 c/ T* X
1 O0 _+ W% F# G$ Y0 W% m) I3 [% N
) U1 \ e! T' Q, N
Matlab 函数boxplot中“须”的定义: Maximum whisker length W. Default is W=1.5. Points are drawn as outliers if they are larger than Q3+W*(Q3-Q1) or smaller than Q1-W*(Q3-Q1), where Q1 and Q3 are the 25th and 75th percentiles, respectively. The default value 1.5 corresponds to approximately +/- 2.7 sigma and 99.3 coverage if the data are normally distributed. The plotted whisker extends to the adjacent value, which is the most extreme data value that is not an outlier. Set 'whisker' to 0 to give no whiskers and to make every point outside of Q1 and Q3 an outlier.
2 S' J9 T# I* u3 w0 e2 F
1 B' H: v1 O: T& i7 R$ b8 w7 m3 y |