how to create grouped Box plot
조회 수: 4 (최근 30일)
이전 댓글 표시
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'})
댓글 수: 3
채택된 답변
Star Strider
2014년 9월 14일
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.
댓글 수: 3
Star Strider
2014년 9월 14일
편집: Star Strider
2014년 9월 14일
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’.
추가 답변 (0개)
참고 항목
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!