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Scilab help >> Statistics > Central Tendency > meanf

# meanf

weighted mean of a vector or a matrix

### Calling Sequence

```m=meanf(val,fre)
m=meanf(val,fre,'r') or m=meanf(val,fre,1)
m=meanf(val,fre,'c') or m=meanf(val,fre,2)```

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### Description

This function computes the mean of a vector or matrix `x`. For a vector or matrix `x`, `m=mn(x)` returns in scalar `m` the mean of all the entries of `x`. `m=mn(x,'r')` (or, equivalently, `m=mn(x,1)`) returns in each entry of the row vector `m` the mean of each column of `x`. `m=mn(x,'c')` (or, equivalently, `m=mn(x,2)`) returns in each entry of the column vector `m` the mean of each row of `x`.

### Examples

```x=[0.2113249 0.0002211 0.6653811;0.7560439 0.3303271 0.6283918]
m=meanf(x,rand(x))
m=meanf(x,[10 10 10;1 1 1],'r')
m=meanf(x,[10 10 10;1 1 1],'c')```

### Bibliography

Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.