Scilab 5.3.3
- Scilab help
- Statistics
- cdfbet
- cdfbin
- cdfchi
- cdfchn
- cdff
- cdffnc
- cdfgam
- cdfnbn
- cdfnor
- cdfpoi
- cdft
- center
- wcenter
- cmoment
- correl
- covar
- 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
Scilab help >> Statistics > cmoment
cmoment
central moments of all orders
Calling Sequence
mom=cmoment(x,ord) mom=cmoment(x,ord,'r') or mom=cmoment(x,ord,1) mom=cmoment(x,ord,'c') or mom=cmoment(x,ord,2)
Arguments
- x
real or complex vector or matrix
- ord
positive integer
Description
cmoment(x,ord) is the central moment or order ord of
the elements of x.
If a third argument of type string 'r' (or
1) or 'c' (or 2) is used, we get in the
first case, a row vector mom such that
mom(j) contains the central moment of order
ord of the j column of
x. cmoment(x,ord,'c') is used in the same way
for the central moments in the rows.
References
Wonacott, T.H. & Wonacott, R.J.; Introductory Statistics, J.Wiley & Sons, 1990.
Examples
x=[0.2113249 0.0002211 0.6653811; 0.7560439 0.3303271 0.6283918] mom=cmoment(x,3) mom=cmoment(x,2,'r') mom=cmoment(x,3,'c')
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
- mean — mean (row mean, column mean) of vector/matrix entries
- meanf — weighted mean of a vector or a matrix
- moment — non central moments of all orders
- nanmean — mean (ignoring Nan's)
- nanmeanf — mean (ignoring Nan's) with a given frequency.
- stdev
- stdevf — standard deviation
- variance — variance of the values of a vector or matrix
- variancef — standard deviation of the values of a vector or matrix
- nanstdev — standard deviation (ignoring the NANs).
Authors
Carlos Klimann
| << wcenter | Statistics | correl >> |