Changing The Element Size In ANSYS® Meshing(Iluustrated Expression)
Standard deviations are very important calculations in data analysis. Because it gives very important analyses and results from given numeric data. As you know that Matlab® software is very good in data analysis and mathematical manipulations like that. So you can calculate standard deviations in Matlab® very easily. This article on Mechanical Base shows you how to calculate standard deviation values with Matlab® coding.
>> a = [2 6 2 64 23 45 632 45 6823]; b = [263 62 626; 65 56 562; 5412 12621 26]; std(a) std(b) ans = 2.249237784475245e+03 ans = 1.0e+03 * 3.031551143116892 7.252674702020857 0.329492539116341 >>
We created an ‘a’ vector and a ‘b’ matrix to show you how to calculate their standard deviations in MatLab®.
The ‘a’ vector’s standard deviation value is calculated with the std() command in Matlab®. So we can understand that there is a one standard deviation value.
Also, the standard deviation value of the matrix ‘b’ is calculated with the std() command in Matlab®. So each row’s standard deviation value of matrices calculated separately in Matlab®.
So it is very easy to calculate standard deviation values of matrices and vectors in Matlab® programming.
Do not forget to leave your comments and questions below about the use of the ‘std()’ command in Matlab® below.
If you want further coding examples about the ‘std()’ command in Matlab®, inform us in the comments.
This article is prepared for completely educative and informative purposes. Images used courtesy of Matlab®
Your precious feedbacks are very important to us.