how to create grouped Box plot
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hi, i want to create a box plot for my data. my data is in the excel file, with two sheet. each sheet have 10 column. i want to grouped first column in two sheet as box plot parameter 1. and second column in two sheet as parameter 2 and so on . i write this code but it dont work, please guide me . and is there any way that each group have different colors. thanks so much
% code
clear
clc
fontsize=14;
s1 =xlsread('data.xlsx','s1');
s2=xlsread('data.xlsx','s2');
h={s2,s1};
figure,
boxplot(h,'Labels',{'par1','par2','par3','par4','par5','par6','par7','par8','par9','par10'})
3 个评论
Geoff Hayes
2014-9-14
Baran - when you say that the code doesn't work, what exactly do you mean by that? Are you observing a particular error, and if so what is it?
baran
2014-9-14
dasilvarosa
2017-10-14
Did you solve this error? I'm encountering the same problem.
采纳的回答
Star Strider
2014-9-14
Assuming ‘s1’ and ‘s2’ are column vectors or column-wise data matrices, change ‘h’ to:
h=[s2,s1];
(using square brackets [] to indicate a matrix rather than curly brackets {} indicating a cell array) and see if that improves things. If you are intending a cell array because ‘s1’ and ‘s2’ do not have the same row length, you have to resolve that problem first.
3 个评论
baran
2014-9-14
baran
2014-9-14
Star Strider
2014-9-14
编辑：Star Strider
2014-9-14
As I mentioned in my Answer, ‘If you are intending a cell array because ‘s1’ and ‘s2’ do not have the same row length, you have to resolve that problem first.’
Fortunately, boxplot (and several Statistics Toolbox functions) ignore ‘NaN’ values, so create a ‘NaN’ matrix and then fill its columns with ‘s1’ and ‘s2’ respectively:
s1 = randi(10, 15, 1);
s2 = randi(12, 20, 1);
s3 = NaN(max([length(s1), length(s2)]), 2); % Create ‘NaN’ Array
s3(1:size(s1,1),1) = s1; % Copy ‘s1’ to first column
s3(:,2) = s2; % Copy ‘s2’ to second column
figure(1)
boxplot(s1)
figure(2)
boxplot(s2)
figure(3)
boxplot(s3)
Compare the three plots to demonstrate that ‘s1’ is the same even if it is padded with ‘NaN’ values. This should work as written with your data. It automatically adjusts to differences in the row length of ‘s1’ and ‘s2’.
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