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')

See Also

• 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