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Scilab help >> Statistics > Data with Missing Values > nanmeanf

# nanmeanf

mean (ignoring Nan's) with a given frequency.

### Calling Sequence

m=nanmean(val,fre)
m=nanmean(val,fre,'r') (or m=nanmean(val,fre,1))
m=nanmean(val,fre,'c') (or m=nanmean(val,fre,2))

### Arguments

val

real or complex vector or matrix

fre

integer vector or matrix with same dimensions than val

### Description

This function returns in scalar m the mean of the values (ignoring the NANs) of a vector or matrix val, each counted with a frequency signaled by the corresponding values of the integer vector or matrix fre with the same type of val.

For a vector or matrix val, m=nanmeanf(val,fre) or m=nanmeanf(val,fre,'*') returns in scalar m the mean of all the entries (ignoring the NANs) of val, each value counted with the multiplicity indicated by the corresponding value of fre.

m=nanmeanf(val,fre,'r') (or, equivalently, m=nanmeanf(val,fre,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), each value counted with the multiplicity indicated by the corresponding value of fre.

m=nanmeanf(val,fre,'c') (or, equivalently, m=nanmeanf(val,fre,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), each value counted with the multiplicity indicated by the corresponding value of fre.

In Labostat, NAN values stand for missing values in tables.

### Examples

x=[0.2113249 %nan 0.6653811;0.7560439 0.3303271 0.6283918]
fre=[34 12 25;12 23 5]
m=nanmeanf(x,fre)
m=nanmeanf(x,fre,1)
m=nanmeanf(x,fre,2)

### Bibliography

Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.

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