Method ao/std
STD computes the standard deviation of the data in the AO.
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DESCRIPTION: STD overloads the standard deviation function for analysis objects.
CALL: b = std(a)
b = std(a, pl)
INPUTS: pl - a parameter list
a - input analysis object
OUTPUTS: b - output analysis object
Parameters Description
VERSION: $Id: std.m,v 1.45 2012/01/12 12:35:54 hewitson Exp $
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Method Details |
|
Access |
public |
Defining Class |
ao |
Sealed |
0 |
Static |
0 |
Parameter Description
Sets for this method … |
1D |
2D |
3D |
1D |
no description |
Key |
Default Value |
Options |
Description |
AXIS |
'y' |
none |
The axis on which to apply the method. |
DIM |
[] |
none |
The dimension of the chosen vector to apply the method to. This is necessary for functions like mean() when applied to matrices held in cdata objects. For tsdata, fsdata or xydata, this option has no effect. |
OPTION |
0 |
none |
See help std. |
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2D |
no description |
Key |
Default Value |
Options |
Description |
AXIS |
'y' |
|
The axis on which to apply the method. |
OPTION |
0 |
none |
See help std. |
back to top
3D |
no description |
Key |
Default Value |
Options |
Description |
AXIS |
'z' |
|
The axis on which to apply the method. |
DIM |
[] |
none |
The dimension of the chosen vector to apply the method to. This is necessary for functions like mean() when applied to matrices held in the z field of xyzdata objects. |
OPTION |
0 |
none |
See help std. |
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Some information of the method ao/std are listed below: |
Class name |
ao |
Method name |
std |
Category |
Operator |
CVS Version |
$Id: std.m,v 1.45 2012/01/12 12:35:54 hewitson Exp $ |
Min input args |
1 |
Max input args |
-1 |
Min output args |
1 |
Max output args |
-1 |
|
Method: ao/sqrt |
|
Method: ao/sum |
 |
©LTP Team