Class Bootstrap: Bootstrap S4 class (kimod: k-tables approach to integrate multiple Omics-Data Multiple dataset)

Description

Bootstrap to DiStatis object.

Features

1. Bootstrap Implementation

2. Confidence Intervals from Bootstrap implementation

3. Plotting Bootstrap

Fields

• Ratios.Boot Ratios (with Bonferroni Correction for all observations in compromise from all dimensions)

• Comparisions.Boot Comparision (difference between observations) from all dimensions

• Elipses.Boot List of all projections from the elipses plot.

• Stability.Boot Bootstrap Stability

• QRO.Boot Rpresentation Quality of observations (Bootstrap)

• EigValues.Boot confidence interval for eigenvalues (from SVD Compromise)

• Inertia.Boot confidence interval for inertia(

Accesors

• Ratios.Boot(x), Ratios.Boot(x) <- value: Ratios (with Bonferroni Correction for all observations in compromise from all dimensions)

• Comparisions.Boot(x), Comparisions.Boot(x) <- value: Comparision (difference between observations) from all dimensions.

• Elipses.Boot(x), Elipses.Boot(x) <- value:List of all projections from the elipses plot.

• Stability.Boot(x), Stability.Boot(x) <- value: Bootstrap Stability.

• QRO.Boot(x), QRO.Boot(x) <- value: Representation Quality of observations (Bootstrap)

• EigValues.Boot(x), EigValues.Boot(x) <- value: confidence interval for eigenvalues (from SVD Compromise)

• Inertia.Boot(x), Inertia.Boot(x) <- value: confidence interval for inertia(%) of all dimensions (from SVD Compromise).

Bootstrap-general-functions

print

Basic output for Bootstrap class

summary

Basic statistics for Bootstrap class

Bootstrap

Getters for their respective slots.

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

 showClass("Bootstrap")

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(kimod)
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/kimod/Bootstrap-Class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Bootstrap-class
> ### Title: Class 'Bootstrap': Bootstrap S4 class (kimod: k-tables approach
> ###   to integrate multiple Omics-Data Multiple dataset)
> ### Aliases: Bootstrap-class Ratios.Boot<-,Bootstrap-method Ratios.Boot
> ###   Ratios.Boot,Bootstrap-method Comparisions.Boot<-,Bootstrap-method
> ###   Comparisions.Boot Comparisions.Boot,Bootstrap-method
> ###   Elipses.Boot<-,Bootstrap-method Elipses.Boot
> ###   Elipses.Boot,Bootstrap-method Stability.Boot<-,Bootstrap-method
> ###   Stability.Boot Stability.Boot,Bootstrap-method
> ###   QRO.Boot<-,Bootstrap-method QRO.Boot QRO.Boot,Bootstrap-method
> ###   EigValues.Boot<-,Bootstrap-method EigValues.Boot
> ###   EigValues.Boot,Bootstrap-method Inertia.Boot<-,Bootstrap-method
> ###   Inertia.Boot Inertia.Boot,Bootstrap-method
> 
> ### ** Examples
> 
>  showClass("Bootstrap")
Class "Bootstrap" [package "kimod"]

Slots:
                                                                              
Name:        Ratios.Boot Comparisions.Boot      Elipses.Boot    Stability.Boot
Class:        data.frame              list            matrix        data.frame
                                                            
Name:           QRO.Boot    EigValues.Boot      Inertia.Boot
Class:        data.frame        data.frame        data.frame
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>