Scilab 5.3.3
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- Statistics
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- mad
- mean
- meanf
- median
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- nancumsum
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Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
mean
mean (row mean, column mean) of vector/matrix entries
Calling Sequence
y=mean(x) y=mean(x,'r') y=mean(x,'c') y=mean(x,'m')
Arguments
- x
real vector or matrix
- y
scalar or vector
Description
For a vector or a matrix x
, y=mean(x)
returns
in the scalar y
the mean of all the entries of
x
.
y=mean(x,'r')
(or, equivalently, y=mean(x,1)
)
is the rowwise mean. It returns a row vector: y(j)=
mean(x(:,j))
y=mean(x,'c')
(or, equivalently, y=mean(x,2)
)
is the columnwise mean. It returns a column vector: y(i)=
mean(x(i,:))
y=mean(x,'m')
is the mean along the first non singleton
dimension of x (for compatibility with Matlab).
Examples
A=[1,2,10;7,7.1,7.01]; mean(A) mean(A,'r') mean(A,'c') A=matrix(1:12,[1,1,2,3,2]); // in this case mean(A,'m') is equivalent to mean(A,3), the first non singleton dimension of A y=mean(A,'m')
See Also
- sum — sum of array elements
- median — median (row median, column median,...) of vector/matrix/array entries
- st_deviation — standard deviation (row or column-wise) of vector/matrix entries
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