DiStatis-Bootstrap: Funtion 'Bootstrap' of a DiStatis object

In lauzingaretti/kimod: A k-tables approach to integrate multiple Omics-Data

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)

}

lauzingaretti/kimod documentation built on May 25, 2019, 5:01 a.m.