- Ajuda Scilab
- Estatística
- 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

Please note that the recommended version of Scilab is 2024.0.0. This page might be outdated.

See the recommended documentation of this function

# samplef

sample with replacement from a population and frequences of his values.

### Calling Sequence

s = samplef(n,X,f,orient)

### Arguments

- n
positive integer (size of sample)

- X
matrix. Samples will be extracted from this matrix

- f
positive integer matrix with same type than X. It indicates frequences of corresponding values of X.

- orient
Optional parameter. Admissible values are 1, 2, 'r' or 'c'

- s
vector or matrix containing sample

### Description

This function gives s, a vector of lenght n. It contains a sample of n extractions, with replacement, from the vector (or matrix) X, each element counted with the frequence given by the corresponding value in vector f.

s=samplef(n,X,f) (or s=samplef(n,X,f,'*')) returns a vector s whose values are a random sample of n values from X, each value with a probability to be sampled proportional to the corresponding value of f, extracted with replacement, from X. f must have same lenght than X.

s=samplef(n,X,f,'r') (or, equivalently, s=samplef(n,X,f,1)) returns a matrix of type size(X,'r')xn. It contains a random sample of n rows from X, each row with a probability to be sampled proportional to the corresponding value of f, extracted with replacement, from the rows of X. The lenght of f must be equal to the number of rows of X.

s=samplef(n,X,f,'c') (or, equivalently, s=samplef(n,X,f,2)) returns a matrix of type nxsize(X,'c'). It contains a random sample of n columns from X, each column with a probability to be sampled proportional to the corresponding value of f, extracted with replacement, from the columns of X. The lenght of f must be equal to the number of columns of X.

### Examples

a=[3 7 9;22 4 2] f1=[10 1 1 1 1 1] f2=[1 ; 15] f3=[10 1 1] s=samplef(15,a,f1) s=samplef(15,a,f2,'r') s=samplef(15,a,f3,'c')

### Authors

Carlos Klimann

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