how to remove the error "Dimensions of matrices being concatenated are not consistent."?

3 vues (au cours des 30 derniers jours)
clc
clear all
for i6=1:length(nrotName)
% infileName(i1)= snameExt,nfileName(i1),nmovName(i2),nrepName(i3),nfTime(i4),ndataName(i7),nsegName(i5),nrotName(i6);
% infileName(i1) = dataset.(nfileName).(nmovName).(nrepName).(nfTime).(nsegName).(nrotName).jointAngle;
infileName = dataset.(fileName{i1}).(movName{i2}).(repName{i3}).(nfTime{i4}).(nsegName{i5}).(nrotName{i6}).(jointAngles);
for k = 1: length(infileName)
A=[];
B=[];
B(k)= (infileName(k));
x = linspace(0, 100, length((B(k))));
y = 1:100;
A(k) = spline(x, [B(k) y]);
normalized.(infileName(k))=(A(k));
end
end
end
end
end
end
end
error is coming
Dimensions of matrices being concatenated are not consistent.
  3 commentaires
Muhammad
Muhammad le 2 Sep 2021
>> incorporatingdataset
Dimensions of matrices being concatenated are not consistent.

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Jan
Jan le 2 Sep 2021
Modifié(e) : Jan le 2 Sep 2021
I guess, the error occurs in this line:
nsegName= ["L5S1","L3L4","T12L1","T8T9","C7T1","C1Head","RT4Shoulder","RShoulder","RElbow","RWrist","LT4Shoulder","LShoulder","LElbow","LWrist",
"RHip","RKnee","RAnkle","RBallFoot","LHip","LKnee","LAnkle","LBallFoot"];
Error using vertcat
Dimensions of arrays being concatenated are not consistent.
The problem is the missing line continuation at the end. Append a "...":
nsegName = ["L5S1","L3L4","T12L1","T8T9","C7T1","C1Head","RT4Shoulder","RShoulder", ...
"RElbow","RWrist","LT4Shoulder","LShoulder","LElbow","LWrist", ...
"RHip","RKnee","RAnkle","RBallFoot","LHip","LKnee" ,"LAnkle","LBallFoot"];
Your code can be simplified:
nfileName = "Mert";
load('dataset.mat')
nmovName = "AOG"; %,'FUZ','FUZY','MaW','NoW','OAK'};
nrepName = ["Bir", "iki", "uc"];
nfTime = ["TO"];%'TS'};
nsegName = ["L5S1","L3L4","T12L1","T8T9","C7T1","C1Head", ...
"RT4Shoulder","RShoulder","RElbow","RWrist","LT4Shoulder", ...
"LShoulder","LElbow","LWrist", "RHip","RKnee","RAnkle", ...
"RBallFoot","LHip","LKnee","LAnkle","LBallFoot"];
nrotName = ["_x","_y","_z"];
for i1 = 1:length(nfileName)
for i2 = 1:length(nmovName)
for i3 = 1:length(nrepName)
for i4 = 1:length(nfTime)
for i5 = 1:length(nsegName)
for i6=1:length(nrotName)
infileName = dataset.(fileName{i1}).(movName{i2}).(repName{i3}).(nfTime{i4}).(nsegName{i5}).(nrotName{i6}).(jointAngles);
for k = 1: length(infileName)
B = infileName(k);
x = linspace(0, 100, length(B));
y = 1:100;
A = spline(x, [B, y]);
normalized.(infileName(k)) = A;
end
end
end
end
end
end
end

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