Descriptive Statistics of entire array

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Matthew Piccolo
Matthew Piccolo 2017 年 4 月 13 日
回答済み: Andrii Mishchenko 2017 年 8 月 12 日
I am working on a project where I need to create a script that at one point returns the mean, median, mode, variance, standard deviation, minimum, maximum, and count of a user inputted array. The inputted array will either be a single column of an undetermined amount of numbers, or two columns of an undetermined amount of numbers.
To use the mean function as an example, if I have a matrix
x = [1,4;5,8;3,1;7,2;4,2];
then the mean function returns a mean of each column:
mean(x) = [4,3.4];
I need a mean of ALL the elements of the matrix. So a quick fix of this would be the mean2 function:
mean2(x) = 3.7;
This is great and returns exactly what I need, except I also need to find the median, mode, variance, etc. As far as I can tell, I can't just add the number 2 to the end of the functions that produce these statistical quantities to get the same result. So I need a way to either convert the user inputted matrix into a single column matrix (without losing the original matrix) and using the statistical analysis functions that way, or just a simple way to find these analyses of every single element of the array, not just the columns at single times.

回答 (2 件)

John D'Errico
John D'Errico 2017 年 4 月 13 日
So, you can't just compute
mean(x(:))
mode(x(:))
etc?
  2 件のコメント
Image Analyst
Image Analyst 2017 年 4 月 14 日
and for the count (number of elements):
count = numel(x);
John D'Errico
John D'Errico 2017 年 4 月 14 日
Or
prod(sixe(x))
will also work. But numel is better.

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Andrii Mishchenko
Andrii Mishchenko 2017 年 8 月 12 日
Hello Dear, Matthew. You can use linear indexation in order to solve your problem. Let's consider your example with a matrix
x = [1,4;5,8;3,1;7,2;4,2];
If you will create a new matrix X = x(1:end) than you will obtain a row vector X containing all elements of your original matrix x. So you can perform a basic descriptive operations on this vector and calculations will be done considering all the values of the matrix x at the same time.
Cheers!

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