kimod (version 1.0.0)

Bootstrap-class: 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(%) of all dimensions (from SVD Compromise)

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).

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")