Bootstrap {kimod} | R Documentation

## Funtion `Bootstrap` of a DiStatis object

### Description

This function is use to make Bootstrap from DiStatis object. Bootstrap resampling techniques are applied on the residuals matrices obtained from SVD of the Compromise and the RV matrix to do multiple comparisions between studies and confidence elipses for the projections of observations in the compromise.

### Usage

    Bootstrap(object, NRep = 100, Dims = 2)

    ## S4 method for signature 'DiStatis'
    Bootstrap(object, NRep = 100, Dims = 2)

### Arguments

`object` | It is the object of DiStatis Class.
`NRep` | Number of repetitions to do the bootstraping. Default is 100.
`Dims` | Number of dimensions used to do the bootstraping. Default is 2.

### Value

`Bootstrap` | Bootstrap class object with the corresponding completed slots according to the given model

### Author(s)

M L Zingaretti, J A Demey-Zambrano, J L Vicente Villardon, J R Demey

### References

1. Efron, B.,Tibshirani, RJ. (1993). An introduction to the bootstrap. New York: Chapman and Hall. 436p.

2. Ringrose, T.J. (1992). Bootstrapping and Correspondence Analysis in Archaeology. Journal of Archaeological. Science.19:615-629.

### Examples

    {
    data(NCI60Selec)
    Z1<-DiStatis(NCI60Selec)
    B<-Bootstrap(Z1)
    Z2<-DiStatis(NCI60Selec,Center=FALSE,Scale=FALSE)
    B2<-Bootstrap(Z2,NRep=200)

    }

[Package kimod version 1.14.0 Index]