Perform.ASCA

Input the name of the created mSetObj (see InitDataObjects)

mSetObj

specify the number of components for facA

specify the number of components for facB

specify the number of components for interaction AB

specify the number of model residuals
type is string, indicating the type of analysis
"abc" separately
"aab" facA joins with AB
"bab" facB joins with AB

The ASCA algorithm was adapted from the ASCA-genes method
(analysis of variance (ANOVA) simultaneous component analysis)
by Maria Jose Nueda (mj.nueda@ua.es) and Ana Conesa (aconesa@ivia.es)

This package contains the R functions and libraries underlying the popular MetaboAnalyst web server, including 500 functions for data processing, normalization, statistical analysis, metabolite set enrichment analysis, metabolic pathway analysis, and biomarker analysis. The package is synchronized with the web server. After installing and loading the package, users will be able to reproduce the same results from their local computers using the corresponding R command history downloaded from MetaboAnalyst, to achieve maximum flexibility and reproducibility.

Perform.ASCA: Perform ASCA

Description

Usage

Arguments