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Scilab help >> Statistics > st_deviation

# st_deviation

standard deviation (row or column-wise) of vector/matrix entries

# stdev

standard deviation (row or column-wise) of vector/matrix entries

### Calling Sequence

```y=st_deviation(x)
y=st_deviation(x,'r')
y=st_deviation(x,'c')
y=stdev(x)
y=stdev(x,'r')
y=stdev(x,'c')```

### Arguments

x

real vector or matrix

y

scalar or vector

### Description

st_deviation computes the "sample" standard deviation, that is, it is normalized by N-1, where N is the sequence length.

For a vector or a matrix `x`, `y=st_deviation(x)` returns in the scalar `y` the standard deviation of all the entries of `x`.

`y=st_deviation(x,'r')` (or, equivalently, `y=st_deviation(x,1)`) is the rowwise standard deviation. It returns in each entry of the column vector `y` the standard deviation of each row of `x`.

`y=st_deviation(x,'c')` (or, equivalently, `y=st_deviation(x,2)`) is the columnwise st_deviation. It returns in each entry of the row vector `y` the standard deviation of each column of `x`.

### Examples

```A=[1,2,10;7,7.1,7.01];
st_deviation(A)
st_deviation(A,'r')
st_deviation(A,'c')```

• sum — sum of array elements
• median — median (row median, column median,...) of vector/matrix/array entries
• mean — mean (row mean, column mean) of vector/matrix entries
• nanstdev — standard deviation (ignoring the NANs).
• stdevf — standard deviation