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See the recommended documentation of this function

Scilab help >> Statistics > mean

# mean

mean (row mean, column mean) of vector/matrix entries

y=mean(x)
y=mean(x,'r')
y=mean(x,'c')
y=mean(x,'m')

### Arguments

x

real vector or matrix

y

scalar or vector

### Description

For a vector or a matrix x, y=mean(x) returns in the scalar y the mean of all the entries of x.

y=mean(x,'r') (or, equivalently, y=mean(x,1)) is the rowwise mean. It returns a row vector: y(j)= mean(x(:,j))

y=mean(x,'c') (or, equivalently, y=mean(x,2)) is the columnwise mean. It returns a column vector: y(i)= mean(x(i,:))

y=mean(x,'m') is the mean along the first non singleton dimension of x (for compatibility with Matlab).

### Examples

A=[1,2,10;7,7.1,7.01];
mean(A)
mean(A,'r')
mean(A,'c')
A=matrix(1:12,[1,1,2,3,2]);
// in this case mean(A,'m') is equivalent to mean(A,3), the first non singleton dimension of A
y=mean(A,'m')

• sum — sum of array elements
• median — median (row median, column median,...) of vector/matrix/array entries
• st_deviation — standard deviation (row or column-wise) of vector/matrix entries