nanmean
statistics: s = nanmean (x)
statistics: s = nanmean (x, 'all')
statistics: s = nanmean (x, dim)
statistics: s = nanmean (x, vecdim)
Compute the mean while ignoring NaN values.
s = nanmean (x) returns the mean of x after removing
NaN values. If x is a vector, a scalar value is returned. If
x is a matrix, a row vector of column means is returned. If x is
a multidimensional array, nanmean operates along the first
nonsingleton dimension. If all values along a dimesion are NaN, the
mean is returned returned as NaN.
s = nanmean (x, returns the mean of all
elements of x, after removing 'all')NaN values. It is the equivalent
of nanmean (x(:)).
s = nanmean (x, dim) operates along the dimension
dim of x.
s = nanmean (x, vecdim) returns the mean over the
dimensions specified in the vector vecdim. Each element of
vecdim represents a dimension of the input array x and the output
s has length 1 in the specified operating dimensions. The lengths of
the other dimensions are the same for x and y. For example, if
x is a 2-by-3-by-4 array, then nanmean (x, [1 2]) returns a
1-by-1-by-4 array. Each element of the output array is the mean of the
elements on the corresponding page of x. If vecdim indexes all
dimensions of x, then it is equivalent to
nanmean (x, . Any dimension in vecdim
greater than 'all')ndims (x) is ignored.
nanmean primarily operates on single and double
numeric types, since they support NaN values, while preserving the
data type. Nevertheless, it can also operate on integer types by treating
them as double types. To avoid overflow on very large int64
and uint64 values, use the mean function, which applies
special handling for such cases.
See also: mean, nansum, nanmin, nanmax
Source Code: nanmean
## Find the column means for a matrix with missing values.,
x = magic (3);
x([1, 4, 7:9]) = NaN
y = nanmean (x)
x =
NaN NaN NaN
3 5 NaN
4 9 NaN
y =
3.5000 7.0000 NaN
|
## Find the row means for a matrix with missing values.,
x = magic (3);
x([1, 4, 7:9]) = NaN
y = nanmean (x, 2)
x =
NaN NaN NaN
3 5 NaN
4 9 NaN
y =
NaN
4.0000
6.5000
|
## Find the mean of all the values in a multidimensional array
## with missing values.
x = reshape (1:30, [2, 5, 3]);
x([10:12, 25]) = NaN
y = nanmean (x, "all")
x =
ans(:,:,1) =
1 3 5 7 9
2 4 6 8 NaN
ans(:,:,2) =
NaN 13 15 17 19
NaN 14 16 18 20
ans(:,:,3) =
21 23 NaN 27 29
22 24 26 28 30
y = 15.654
|
## Find the mean of a multidimensional array with missing values over
## multiple dimensions.
x = reshape (1:30, [2, 5, 3]);
x([10:12, 25]) = NaN
y = nanmean (x, [2, 3])
x =
ans(:,:,1) =
1 3 5 7 9
2 4 6 8 NaN
ans(:,:,2) =
NaN 13 15 17 19
NaN 14 16 18 20
ans(:,:,3) =
21 23 NaN 27 29
22 24 26 28 30
y =
14.538
16.769
|