The STDDEV function computes the standard deviation of an n-element vector.
Note: STDDEV uses the MOMENT function to compute the standard deviation. See MOMENT for details on how the value is calculated.
Result = STDDEV( X [, DIMENSION=value] [, /DOUBLE] [, /NAN] )
The result is the standard deviation of the given vector.
A numeric vector.
Set this keyword to a scalar indicating the dimension across which to calculate the standard deviation. If this keyword is not present or is zero, then the standard deviation is computed across all dimensions of the input array. If this keyword is present, then the standard deviation is only calculated only across a single dimension. In this case the result is an array with one less dimension than the input.
If this keyword is set, computations are performed in double precision arithmetic.
Set this keyword to cause the routine to check for occurrences of the IEEE floating-point values NaN or Infinity in the input data. Elements with the value NaN or Infinity are treated as missing data.
; Define the n-element vector of sample data:
x = [65, 63, 67, 64, 68, 62, 70, 66, 68, 67, 69, 71, 66, 65, 70]
; Compute the standard deviation:
result = STDDEV(x)
PRINT, result
IDL prints:
2.65832
|
5.1 |
Introduced |
|
8.0 |
Added DIMENSION keyword |