Exactly how are you reading the data?
error using sum what can I change to fix it
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i am getting this error using this code
x=data(:,2);
xavg=mean(x);
Error using sum
Invaild data type. First argument must be numeric or logical.
Error in mean (line 127)
y = sum(x, dim, flag) ./ mysize(x,dim);
this is the data
displacement
5.00E+00
4.98E+00
4.95E+00
4.90E+00
4.84E+00
4.77E+00
4.69E+00
4.60E+00
4.50E+00
4.38E+00
4.26E+00
4.12E+00
3.98E+00
3.83E+00
3.67E+00
3.50E+00
3.32E+00
3.14E+00
2.94E+00
2.75E+00
2.54E+00
2.34E+00
2.12E+00
1.91E+00
1.69E+00
1.46E+00
1.24E+00
1.01E+00
7.81E-01
5.52E-01
3.23E-01
9.47E-02
-1.33E-01
-3.58E-01
-5.82E-01
-8.02E-01
########
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########
########
########
########
########
########
########
########
########
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########
########
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########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
-9.93E-01
-8.05E-01
-6.15E-01
-4.26E-01
-2.36E-01
-4.67E-02
1.41E-01
3.28E-01
5.13E-01
6.95E-01
8.74E-01
1.05E+00
1.22E+00
1.39E+00
1.56E+00
1.71E+00
1.87E+00
2.02E+00
2.16E+00
2.30E+00
2.42E+00
2.55E+00
2.66E+00
2.77E+00
2.87E+00
2.96E+00
3.05E+00
3.13E+00
3.19E+00
3.25E+00
3.31E+00
3.35E+00
3.38E+00
3.41E+00
3.43E+00
3.43E+00
3.43E+00
3.43E+00
3.41E+00
3.38E+00
3.35E+00
3.31E+00
3.26E+00
3.20E+00
3.13E+00
3.06E+00
2.98E+00
2.89E+00
2.80E+00
2.70E+00
2.59E+00
2.48E+00
2.36E+00
2.24E+00
2.11E+00
1.97E+00
1.84E+00
1.70E+00
1.55E+00
1.41E+00
1.26E+00
1.11E+00
9.51E-01
7.96E-01
6.40E-01
4.83E-01
3.26E-01
1.69E-01
1.24E-02
-1.43E-01
-2.98E-01
-4.50E-01
-6.01E-01
-7.49E-01
-8.94E-01
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
-8.94E-01
-7.66E-01
-6.38E-01
-5.08E-01
-3.78E-01
-2.48E-01
-1.18E-01
1.14E-02
1.40E-01
2.68E-01
3.94E-01
5.18E-01
6.41E-01
7.61E-01
8.78E-01
9.93E-01
1.10E+00
1.21E+00
1.32E+00
1.42E+00
1.51E+00
1.60E+00
1.69E+00
1.77E+00
1.85E+00
1.92E+00
1.99E+00
2.05E+00
2.11E+00
2.16E+00
2.21E+00
2.25E+00
2.28E+00
2.31E+00
2.33E+00
2.34E+00
2.35E+00
2.36E+00
2.35E+00
2.35E+00
2.33E+00
2.31E+00
2.29E+00
2.26E+00
2.22E+00
2.18E+00
2.13E+00
2.08E+00
2.02E+00
1.96E+00
1.90E+00
1.83E+00
1.75E+00
1.67E+00
1.59E+00
1.50E+00
1.42E+00
1.32E+00
1.23E+00
1.13E+00
1.03E+00
9.30E-01
8.27E-01
7.23E-01
6.17E-01
5.10E-01
4.03E-01
2.95E-01
1.87E-01
7.97E-02
-2.75E-02
-1.34E-01
-2.39E-01
-3.44E-01
-4.46E-01
-5.48E-01
-6.47E-01
-7.43E-01
-8.38E-01
-9.30E-01
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
-9.23E-01
-8.41E-01
-7.56E-01
-6.71E-01
-5.84E-01
-4.96E-01
-4.08E-01
-3.19E-01
-2.29E-01
-1.40E-01
-5.11E-02
3.76E-02
1.26E-01
2.13E-01
2.99E-01
3.84E-01
4.67E-01
5.49E-01
6.29E-01
7.07E-01
7.83E-01
8.56E-01
9.26E-01
9.94E-01
1.06E+00
1.12E+00
1.18E+00
1.24E+00
1.29E+00
1.34E+00
1.38E+00
1.42E+00
1.46E+00
1.49E+00
1.52E+00
1.55E+00
1.57E+00
1.59E+00
1.60E+00
1.61E+00
1.62E+00
1.62E+00
1.61E+00
1.61E+00
1.60E+00
1.58E+00
1.56E+00
1.54E+00
1.51E+00
1.48E+00
1.45E+00
1.41E+00
1.37E+00
1.33E+00
1.28E+00
1.23E+00
1.18E+00
1.13E+00
1.07E+00
1.01E+00
9.50E-01
8.86E-01
8.20E-01
7.53E-01
6.85E-01
6.15E-01
5.43E-01
4.71E-01
3.99E-01
3.25E-01
2.52E-01
1.78E-01
1.04E-01
2.99E-02
-4.35E-02
-1.16E-01
-1.88E-01
-2.60E-01
-3.30E-01
-3.99E-01
-4.66E-01
-5.32E-01
-5.96E-01
-6.58E-01
-7.19E-01
-7.77E-01
-8.33E-01
-8.86E-01
-9.37E-01
-9.85E-01
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
########
-9.72E-01
-9.27E-01
-8.79E-01
-8.29E-01
-7.78E-01
-7.25E-01
-6.70E-01
-6.14E-01
-5.57E-01
-4.99E-01
-4.40E-01
-3.80E-01
-3.20E-01
-2.59E-01
-1.98E-01
-1.37E-01
-7.56E-02
-1.45E-02
4.62E-02
1.06E-01
1.66E-01
2.25E-01
2.83E-01
3.40E-01
3.95E-01
4.50E-01
5.02E-01
5.54E-01
6.03E-01
6.51E-01
6.97E-01
7.41E-01
7.83E-01
8.22E-01
8.60E-01
8.95E-01
9.27E-01
9.57E-01
9.84E-01
1.01E+00
1.03E+00
1.05E+00
1.07E+00
1.08E+00
1.09E+00
1.10E+00
1.11E+00
1.11E+00
1.11E+00
1.11E+00
1.10E+00
1.09E+00
1.08E+00
1.07E+00
1.05E+00
1.03E+00
1.01E+00
9.87E-01
9.61E-01
9.33E-01
9.02E-01
8.70E-01
8.35E-01
7.99E-01
7.61E-01
7.21E-01
6.80E-01
6.37E-01
5.93E-01
5.47E-01
5.01E-01
4.53E-01
4.05E-01
3.56E-01
3.07E-01
2.57E-01
2.06E-01
1.55E-01
1.05E-01
5.41E-02
3.56E-03
-4.67E-02
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4.06E-03
4.56E-02
8.68E-02
1.27E-01
1.68E-01
2.07E-01
2.46E-01
2.84E-01
3.21E-01
3.57E-01
3.91E-01
4.25E-01
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4.89E-01
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5.46E-01
5.73E-01
5.98E-01
6.21E-01
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6.63E-01
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7.61E-01
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7.57E-01
7.53E-01
7.46E-01
7.38E-01
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7.16E-01
7.03E-01
6.88E-01
6.71E-01
6.53E-01
6.33E-01
6.12E-01
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5.65E-01
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3.65E-01
3.33E-01
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2.67E-01
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1.24E-02
4.08E-02
6.90E-02
9.68E-02
1.24E-01
1.51E-01
1.77E-01
2.03E-01
2.28E-01
2.53E-01
2.76E-01
2.99E-01
3.21E-01
3.42E-01
3.62E-01
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2.02E-04
2.31E-04
2.59E-04
2.87E-04
3.14E-04
3.39E-04
3.64E-04
3.88E-04
4.10E-04
4.31E-04
2 Comments
Image Analyst
on 20 Mar 2021
You forgot to attach a lot of stuff! Attach your data along with code to read it in and take the mean.
Answers (1)
ANKUR KUMAR
on 20 Mar 2021
mean(displacement(isnumeric(displacement)))
1 Comment
Walter Roberson
on 20 Mar 2021
isnumeric() applies to the entire dataclass, not to individual array elements. The entire displacement is numeric or it isn't.
If it isn't, then you would be taking displacement(false) and getting an empty array of whatever class displacement was, and mean() would quite possibly fail to be able to operate on whatever class it was.
If it is numeric, then the isnumeric() would give you a single true, and indexing with that would give you the first element of the matrix, and you would be applying mean() to a single element.
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