nanmean
mean (ignoring Nan's)
Syntax
m = nanmean(val) m = nanmean(val, orientation)
Arguments
- val
real or complex vector or matrix
- orientation
index of the dimension along which the nanmean is computed. It can be either
- a character
"*"
(default),"r"
or"c"
- a positive integer: 1 or 2. 1 is equivalent to "r" and 2 is equivalent to "c".
- a character
- m
real or complex scalar or vector
Description
This function returns in scalar m
the mean of the
values (ignoring the NANs) of a vector or matrix val
.
For a vector or matrix val
, m=nanmean(val)
or m = nanmean(val, '*')
returns in scalar m
the mean of all the entries (ignoring the NANs) of val
.
m=nanmean(val,'r')
(or, equivalently,
m=nanmean(val,1)
) returns in each entry of the row
vector m
of type 1xsize(val,'c') the mean of each
column of val
(ignoring the NANs).
m=nanmeanf(val,'c')
(or, equivalently,
m=nanmean(val,2)
) returns in each entry of the column
vector m
of type size(val,'c')x1 the mean of each
row of val
(ignoring the NANs).
In Labostat, NAN values stand for missing values in tables.
Examples
x=[0.2113249 %nan 0.6653811;0.7560439 0.3303271 0.6283918] m=nanmean(x) m=nanmean(x,1) m=nanmean(x,2)
Bibliography
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.
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