Scilab 6.1.0

Scilab Help >> Statistics > Mean Central Tendency > mean

# mean

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

### Syntax

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).

`mean()` can be overloaded. |

### 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')

### See also

### History

Version | Description |

6.0.1 | mean() is now overloadable. |

## Comments

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