std
Return standard deviation values in DataMatrix object
Syntax
S = std(DMObj)
S = std(DMObj, Flag)
S = std(DMObj, Flag, Dim)
S = std(DMObj, Flag, Dim, IgnoreNaN)
Input Arguments
DMObj | DataMatrix object, such as created by |
Flag | Scalar specifying how to normalize the data. Choices are:
N = the number of elements in
each column or row, as specified by |
Dim | Scalar specifying the dimension of
|
IgnoreNaN | Specifies if NaNs should be ignored. Choices are |
Output Arguments
S | Either of the following:
|
Description
returns
the standard deviation values of the elements in the columns of a
DataMatrix object, treating NaNs as missing values. The data is normalized
using a sample size of N – S = std(DMObj)1,
where N = the number of elements in each column. S is
a row vector containing the standard deviation values for elements
in each column in DMObj.
specifies how to normalize the data. If S = std(DMObj, Flag)Flag =
0, normalizes using a sample size of N –
1. If Flag = 1,
normalizes using a sample size of N. N = the
number of elements in each column or row, as specified by
Dim. For more information on the normalization equations, see
the function std. Default
Flag = 0.
returns
the standard deviation values of the elements in the columns or rows
of a DataMatrix object, as specified by S = std(DMObj, Flag, Dim)Dim.
If Dim = 1, returns S,
a row vector containing the standard deviation values for elements
in each column in DMObj. If Dim = 2,
returns S, a column vector containing the
standard deviation values for elements in each row in DMObj.
Default Dim = 1.
specifies
if NaNs should be ignored. S = std(DMObj, Flag, Dim, IgnoreNaN)IgnoreNaN can
be true (default) or false.
Version History
Introduced in R2008b
See Also
DataMatrix | mean | median | var