stddev_outer()

Computes the stddev across the outer dimension of two-dimensional data

Syntax
y = stddev_outer(x, flag)

Arguments
Name Description Range Type Default Required
data data to find the stddev (-∞, ∞) real yes
flag indicates how stddev normalizes [0, 1]† integer 0 no
† When flag equals 0, the stddev normalizes by N-1, where N is the length of the data sequence. Otherwise, stddev normalizes by N

Examples

a = stddev_outer(data)
a = stddev_outer(data, 1)

Defined In

$HPEESOF_DIR/expressions/ael/statistical_fun.ael

See Also

fun_2d_outer(), max_outer(), mean_outer(), min_outer()

Notes/Equations

The stddev_outer() function operates on the inner dimension of two-dimensional data. This function just calls the fun_2d_outer function, with stddev being the applied operation. As an example, assume that a Monte Carlo simulation of an amplifier was run, with 151 random sets of parameter values, and that for each set the S-parameters were simulated over 26 different frequency points. S21 becomes a [151 Monte Carlo iteration X 26 frequency] matrix, with the inner dimension being frequency, and the outer dimension being Monte Carlo index. Now, assume that it is desired to know the stddev value of the S-parameters at each frequency. Inserting an equation stddev(S21) computes the stddev value of S21 at each Monte Carlo iteration. If S21 is simulated from 1 to 26 GHz, it computes the stddev value over this frequency range, which usually is not very useful. Inserting an equation stddev_outer(S21) computes the stddev value of S21 at each Monte Carlo frequency.

 

Privacy Statement  | Terms of Use  | Legal | Contact Us  | © Agilent 2000-2008 

Contents
Additional Resources