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How I can fix "Matrix dimension must be agree"
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A = importdata('msm_19-1250.txt');
d1=A(:,2);
phi1=A(:,3);
theta1=A(:,4);
B = importdata('msm_19-251500.txt');
d2=B(:,2);
phi2=B(:,3);
theta2=B(:,4);
phi2to1 = phi2 - 200;
theta2to1 = (-1)*theta2 + 400;
C = [d1 phi1 theta1];
D = [d2 phi2to1 theta2to1];
E = [C ; D];
M = mean(E);
R = E - M;
SD = std(E);
F = E(:,1);
histogram(F);
hold on;
line([50.33 50.33], [0 120],'color','y');
line([50.3000 50.3000], [0 120],'color','r');
hold off;
figure;
hold on;
G = R(:,2);
histogram(G);
hold off;
% Part d
figure;
hold on;
H = R(:,3);
histogram(H);
line([0.0025 0.0025], [0 100],'color','g');
line([-0.0025 -0.0025], [0 100],'color','g');
line([0.0050 0.0050], [0 100],'color','y');
line([-0.0050 -0.0050], [0 100],'color','y');
line([0.0075 0.0075], [0 100],'color','r');
line([-0.0075 -0.0075], [0 100],'color','r');
hold off;
%Part f
K = (C + D)/2;
Average = K(:,2);
5 Kommentare
Rik
am 25 Mär. 2019
But it shows error to me. I have matlab 2014. Does it makes any difference?
Antworten (1)
Rik
am 25 Mär. 2019
Your error is due to the sizes not matching. This can be solved using implicit expansions, which is automatically enabled since R2016b. Consider the sizes of the variables in each step below:
var1 = [494,395,516,434,476,557,413,442,650,433,417,656,267,478,178,423,427];
var2 = [512,430,520,428,500,600,364,380,658,445,432,626,260,477,259,350,451];
E = [var1;var2];%size(E)=2x17
M = mean(E);%size(M)=1x17
%with implicit expansion:
R = E - M;%size(R)=2x17
This is because E is expanded to fit the size of M. Pre-R2016b you have to explicitly tell Matlab to use implicit expansion.
R=bsxfun(@minus,E,M);
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