Scilab 5.3.3
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- Statistics
- cdfbet
- cdfbin
- cdfchi
- cdfchn
- cdff
- cdffnc
- cdfgam
- cdfnbn
- cdfnor
- cdfpoi
- cdft
- center
- wcenter
- cmoment
- correl
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- ftest
- ftuneq
- geomean
- harmean
- iqr
- mad
- mean
- meanf
- median
- moment
- msd
- mvvacov
- nancumsum
- nand2mean
- nanmax
- nanmean
- nanmeanf
- nanmedian
- nanmin
- nanstdev
- nansum
- nfreq
- pca
- perctl
- princomp
- quart
- regress
- sample
- samplef
- samwr
- show_pca
- st_deviation
- stdevf
- strange
- tabul
- thrownan
- trimmean
- variance
- variancef
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
meanf
weighted mean of a vector or a matrix
Calling Sequence
m=meanf(val,fre) m=meanf(val,fre,'r') or m=meanf(val,fre,1) m=meanf(val,fre,'c') or m=meanf(val,fre,2)
Arguments
- ?
Description
This function computes the mean of a vector or matrix x.
For a vector or matrix x, m=mn(x) returns
in scalar m the mean of all the entries of x.
m=mn(x,'r') (or, equivalently, m=mn(x,1))
returns in each entry of the row vector m the mean
of each column of x.
m=mn(x,'c') (or, equivalently, m=mn(x,2))
returns in each entry of the column vector m the
mean of each row of x.
Examples
x=[0.2113249 0.0002211 0.6653811;0.7560439 0.3303271 0.6283918] m=meanf(x,rand(x)) m=meanf(x,[10 10 10;1 1 1],'r') m=meanf(x,[10 10 10;1 1 1],'c')
Authors
Carlos Klimann
Bibliography
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley & Sons, 1990.
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