(Not recommended) Standard deviation, ignoring NaN
values
nanstd
is not recommended. Use the MATLAB® function std
instead. With the std
function, you can specify whether
to include or omit NaN
values for the calculation. For more information,
see Compatibility Considerations.
is the
standard deviation y
= nanstd(X
)std
of X
, computed after
removing all NaN
values.
If X
is a vector, then nanstd(X)
is the
sample standard deviation of all the non-NaN
elements of
X
.
If X
is a matrix, then nanstd(X)
is a row
vector of column sample standard deviations, computed after removing
NaN
values.
If X
is a multidimensional array, then
nanstd
operates along the first nonsingleton dimension of
X
. The size of this dimension becomes 1 while the sizes of all
other dimensions remain the same. nanstd
removes all
NaN
values.
By default, nanstd
normalizes y
by
n – 1, where n is the number of remaining
observations after removing observations with NaN
values.
returns the standard deviation over the dimensions specified in the vector
y
= nanstd(X
,flag
,vecdim
)vecdim
. The function computes the standard deviations after removing
NaN
values. For example, if X
is a matrix, then
nanstd(X,0,[1 2])
is the sample standard deviation of all
non-NaN
elements of X
because every element of a
matrix is contained in the array slice defined by dimensions 1 and 2.